{"meta":{"query_hash":"d42cdce44dd2","filters":{"venue":"Medical Decision Making"},"cohort_total":325,"direct_labels_cover":1,"predictions_cover":325,"exported":325,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/d42cdce44dd2","api":"https://metacan.xera.ac/api/v1/cohort?venue=Medical+Decision+Making"},"results":[{"id":"W1454465745","doi":"10.1177/0272989x15591966","title":"Quantifying Parameter Uncertainty in EQ-5D-3L Value Sets and Its Impact on Studies That Use the EQ-5D-3L to Measure Health Utility","year":2015,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Institute for Clinical Evaluative Sciences; Health Sciences Centre; Hospital for Sick Children; Public Health Ontario; Hamilton Health Sciences; SickKids Foundation; University of Toronto; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research; Agency for Healthcare Research and Quality; U.S. Department of Health and Human Services","keywords":"Statistics; EQ-5D; Mean squared error; Mathematics; Prediction interval; Econometrics; Sensitivity analysis; Regression; Bayesian probability; Population; Variance (accounting); Regression analysis; Uncertainty analysis; Medicine","score_opus":0.8282736855108838,"score_gpt":0.5426143829996953,"score_spread":0.28565930251118843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1454465745","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3607475,0.054966416,0.5287002,0.028416032,0.0011676971,0.0010344576,0.0048618633,0.00029448926,0.019811329],"genre_scores_gemma":[0.93924916,0.0029306067,0.053979736,0.0021043438,0.0003073394,0.00046797274,0.0006610642,0.000097067146,0.00020264515],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.682987,0.2655361,0.013700715,0.009365085,0.02688718,0.0015239329],"domain_scores_gemma":[0.11087778,0.83318025,0.033107743,0.013213996,0.009092498,0.00052772474],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.24817792,0.0014437827,0.0014056119,0.0044339146,0.0013065446,0.005186127,0.0024127914,0.0019890072,0.0021879214],"category_scores_gemma":[0.66286445,0.00089712645,0.0039511994,0.0069895494,0.005427229,0.0046574855,0.0052453363,0.0041941884,0.0001797013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010006245,0.00025837004,0.6136266,0.004036176,0.007559192,0.00046956106,0.0043451656,0.11703876,0.0010006049,0.054376952,0.004926919,0.19136114],"study_design_scores_gemma":[0.00020812466,0.0016585464,0.5050201,0.018731533,0.0054270825,0.0022042145,0.003649145,0.181127,0.009879798,0.2348289,0.036258608,0.0010070031],"about_ca_topic_score_codex":0.014809322,"about_ca_topic_score_gemma":0.011050758,"teacher_disagreement_score":0.7518221,"about_ca_system_score_codex":0.00546108,"about_ca_system_score_gemma":0.005208508,"threshold_uncertainty_score":0.92713046},"labels":[],"label_agreement":null},{"id":"W1599059832","doi":"10.1177/0272989x15598743","title":"What Is Insufficient about Validation?","year":2015,"lang":"en","type":"letter","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science","score_opus":0.37076626170763816,"score_gpt":0.4802594566583135,"score_spread":0.10949319495067533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1599059832","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001356299,0.0031048898,0.0006799181,0.99063134,0.0046547684,0.00001218579,0.00002935738,0.000010712732,0.00074118224],"genre_scores_gemma":[0.0062762797,0.0021157037,0.0023826342,0.96730965,0.0211194,0.00012820122,0.00005620794,0.000038137743,0.00057384727],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.6321327,0.26282418,0.038133003,0.013154599,0.04628775,0.00746782],"domain_scores_gemma":[0.10095172,0.8104719,0.014413382,0.0185451,0.046332117,0.00928577],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.40852514,0.0014591363,0.006294455,0.005746271,0.008865889,0.018267214,0.010341365,0.083012454,0.008649769],"category_scores_gemma":[0.7433478,0.0019544982,0.004946474,0.004148203,0.047349297,0.036234807,0.012769588,0.09732868,0.0047170594],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004283245,0.00022509937,0.006347004,0.0018345071,0.00040568036,0.0011735896,0.0022654154,0.00040157282,0.00016293018,0.13174437,0.77430415,0.08070738],"study_design_scores_gemma":[0.00067584746,0.00013881952,0.0033124157,0.016406713,0.00034501814,0.0014629796,0.0034453596,0.00259888,0.00033381456,0.5335327,0.43743247,0.0003150697],"about_ca_topic_score_codex":0.013409671,"about_ca_topic_score_gemma":0.0159031,"teacher_disagreement_score":0.5914749,"about_ca_system_score_codex":0.014324327,"about_ca_system_score_gemma":0.03142817,"threshold_uncertainty_score":0.72939384},"labels":[],"label_agreement":null},{"id":"W1812765017","doi":"10.1177/0272989x15604158","title":"Lessons Learned from a Cross-Model Validation between a Discrete Event Simulation Model and a Cohort State-Transition Model for Personalized Breast Cancer Treatment","year":2015,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; University of Alberta","funders":"","keywords":"Breast cancer; Medicine; Cohort; Quality-adjusted life year; Actuarial science; Computer science; Cost effectiveness; Cancer; Risk analysis (engineering); Internal medicine; Economics","score_opus":0.5411688471614783,"score_gpt":0.5412581120805278,"score_spread":0.00008926491904948097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1812765017","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27431738,0.00071745954,0.7113861,0.0032755723,0.00016053085,0.00041761514,0.0007498589,0.0004350505,0.0085404385],"genre_scores_gemma":[0.91726714,0.00023363532,0.07930763,0.0004456434,0.00005272718,0.00037415657,0.00051162014,0.00009557844,0.0017119235],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99383634,0.005025033,0.000147929,0.0004796395,0.00028857935,0.00022236822],"domain_scores_gemma":[0.9452976,0.04991428,0.0011362332,0.0010246164,0.002138279,0.00048894074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019763382,0.0011088119,0.0014967175,0.00070762483,0.00081360684,0.0016128186,0.0022487605,0.0017440468,0.0036253042],"category_scores_gemma":[0.049345184,0.0009191954,0.0017109563,0.00054034934,0.0010384653,0.0016595774,0.0014769672,0.003261595,0.00028038307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048244405,0.000032291187,0.0016609197,0.000021060243,0.000042287586,0.00003121676,0.000040957028,0.9924217,0.000041033934,0.0036859731,0.00017771914,0.0017965952],"study_design_scores_gemma":[0.000022658165,0.000024533592,0.00018459569,0.000012484776,0.000011920819,0.0000050011427,0.000010689524,0.9967589,0.000051081075,0.002766801,0.00014385158,0.0000074192258],"about_ca_topic_score_codex":0.05787238,"about_ca_topic_score_gemma":0.032202654,"teacher_disagreement_score":0.05787238,"about_ca_system_score_codex":0.002696993,"about_ca_system_score_gemma":0.004060313,"threshold_uncertainty_score":0.11507106},"labels":[],"label_agreement":null},{"id":"W1856101391","doi":"10.1177/0272989x15600708","title":"Does Introducing Imprecision around Probabilities for Benefit and Harm Influence the Way People Value Treatments?","year":2015,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Centre for Advancing Health Outcomes; St. Paul's Hospital; University of British Columbia; Memorial University of Newfoundland","funders":"","keywords":"Harm; Population; Actuarial science; Value (mathematics); Confidence interval; Sample (material); Psychology; Medicine; Econometrics; Statistics; Social psychology; Mathematics; Economics; Environmental health","score_opus":0.08853594138880048,"score_gpt":0.41667049148711355,"score_spread":0.32813455009831305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1856101391","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80330276,0.005248404,0.13302268,0.02459744,0.00045813865,0.0017257386,0.0009768261,0.00014604728,0.03052199],"genre_scores_gemma":[0.9709113,0.0010021578,0.024483465,0.0024508513,0.00010214048,0.0005946219,0.00006543726,0.000019967061,0.0003699777],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.8550744,0.121090904,0.004484725,0.0041275565,0.013781752,0.0014407199],"domain_scores_gemma":[0.42971367,0.5015197,0.0430721,0.015916478,0.008644653,0.0011334186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.13100553,0.00075706636,0.0012865487,0.0012375932,0.0012668557,0.0057834396,0.0015504136,0.0025082808,0.0044531506],"category_scores_gemma":[0.30746415,0.00072563684,0.0021837896,0.0010626687,0.010060995,0.00525097,0.0024547952,0.0039074114,0.00034072043],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.012558836,0.0023314513,0.33933455,0.0075843064,0.005112803,0.00064758613,0.09768721,0.020736625,0.0077633215,0.11573616,0.0043293564,0.38617787],"study_design_scores_gemma":[0.0035882175,0.012011284,0.37086606,0.010407731,0.006234279,0.0014852339,0.0420097,0.054374527,0.020352125,0.4137439,0.06301618,0.0019108099],"about_ca_topic_score_codex":0.011032674,"about_ca_topic_score_gemma":0.0067408797,"teacher_disagreement_score":0.13100553,"about_ca_system_score_codex":0.0067276205,"about_ca_system_score_gemma":0.0053948998,"threshold_uncertainty_score":0.69283175},"labels":[],"label_agreement":null},{"id":"W1930633860","doi":"10.1177/0272989x15593083","title":"A Decision Analysis of Percutaneous Left Atrial Appendage Occlusion Relative to Novel and Traditional Oral Anticoagulation for Stroke Prevention in Patients with New-Onset Atrial Fibrillation","year":2015,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Sciences Centre; University of Toronto; University of Ottawa; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Apixaban; Left atrial appendage occlusion; Dabigatran; Warfarin; Rivaroxaban; Atrial fibrillation; Quality-adjusted life year; Stroke (engine); Cost effectiveness; Intensive care medicine; Internal medicine; Risk analysis (engineering)","score_opus":0.08093161917929763,"score_gpt":0.3684787931947798,"score_spread":0.28754717401548213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1930633860","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92370766,0.006398713,0.047358226,0.0048964727,0.00023845947,0.002613492,0.002841716,0.000094146606,0.0118510965],"genre_scores_gemma":[0.9899636,0.00078207615,0.006850207,0.00025126114,0.00004403884,0.00046183547,0.00053841237,0.00000997594,0.0010986252],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9919477,0.006339773,0.00021968188,0.0005030101,0.0004663401,0.00052348134],"domain_scores_gemma":[0.9716826,0.024688318,0.0015192482,0.00017357864,0.0007762773,0.0011598537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009641512,0.0014512263,0.0024997424,0.0021850201,0.00062462507,0.002642506,0.001440925,0.0015978324,0.00827019],"category_scores_gemma":[0.029338669,0.001073429,0.004335088,0.0010984637,0.0008854066,0.0015232016,0.0015204201,0.0022466134,0.00026590913],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011852627,0.0007373749,0.017663123,0.0006568519,0.0020755269,0.00036367937,0.00011807779,0.9419175,0.00040210647,0.008066117,0.0011732494,0.014973766],"study_design_scores_gemma":[0.0013653659,0.0026735498,0.005761306,0.00018919105,0.0012062305,0.00021999836,0.00013932178,0.98250973,0.00023907144,0.0048214304,0.0008224451,0.00005242525],"about_ca_topic_score_codex":0.0142351,"about_ca_topic_score_gemma":0.008627722,"teacher_disagreement_score":0.0142351,"about_ca_system_score_codex":0.007153659,"about_ca_system_score_gemma":0.007150134,"threshold_uncertainty_score":0.051903665},"labels":[],"label_agreement":null},{"id":"W1951521253","doi":"10.1177/0272989x15599546","title":"Health Condition Impacts in a Nationally Representative Cross-Sectional Survey Vary Substantially by Preference-Based Health Index","year":2015,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"National Center for Advancing Translational Sciences; National Institute on Aging","keywords":"Health Utilities Index; Quality-adjusted life year; EQ-5D; Index (typography); Quality of life (healthcare); Medicine; Gerontology; Visual analogue scale; Cross-sectional study; Statistics; Demography; Scale (ratio); SF-36; Environmental health; Cost effectiveness; Disease; Health related quality of life; Mathematics; Geography; Physical therapy; Computer science","score_opus":0.5486336747817878,"score_gpt":0.5338205859529802,"score_spread":0.014813088828807608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1951521253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98540384,0.0006864576,0.0035852992,0.00018806515,0.00003136342,0.0001396545,0.007643676,0.000040384268,0.0022811966],"genre_scores_gemma":[0.99061686,0.00021815786,0.00117234,0.00019603831,0.000020188978,0.00010616977,0.0073545543,0.000010710133,0.0003050412],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99310476,0.0039086635,0.00063966285,0.0007322334,0.0013847725,0.00022986274],"domain_scores_gemma":[0.9849145,0.0074694925,0.0043163346,0.0020524352,0.000955123,0.00029214346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008571053,0.00035063474,0.0005650508,0.0013998295,0.00024954448,0.00092705153,0.00034593025,0.00059663295,0.0022099612],"category_scores_gemma":[0.027472831,0.00033968274,0.0014088168,0.0032983897,0.00037581727,0.0007812975,0.00080884056,0.00061879714,0.0007384736],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009594357,0.00003511276,0.9957098,0.000025362944,0.0005730547,0.000017667493,0.00004170129,0.00021953389,0.000108550994,0.000045655823,0.00039647025,0.0027312252],"study_design_scores_gemma":[0.000011098529,0.000090048634,0.9982651,0.000014544177,0.000106525506,0.000104807295,0.00008606008,0.0007865245,0.000056924076,0.000104729465,0.0003651428,0.000008581433],"about_ca_topic_score_codex":0.003009409,"about_ca_topic_score_gemma":0.0038671992,"teacher_disagreement_score":0.008571053,"about_ca_system_score_codex":0.00023062761,"about_ca_system_score_gemma":0.00022321472,"threshold_uncertainty_score":0.045328617},"labels":[],"label_agreement":null},{"id":"W1965692977","doi":"10.1177/0272989x13511706","title":"Blocks, Ovals, or People? Icon Type Affects Risk Perceptions and Recall of Pictographs","year":2013,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Safety Warnings and Signage","field":"Psychology","cited_by":147,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Cancer Institute","keywords":"Icon; Recall; Health literacy; Perception; Psychology; Medicine; Computer science; Cognitive psychology; Health care","score_opus":0.018948772556517036,"score_gpt":0.33547349783710356,"score_spread":0.3165247252805865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965692977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938539,0.00033526667,0.00095053576,0.00011393144,0.00003238733,0.000047932877,0.00014422089,0.00004283816,0.004478954],"genre_scores_gemma":[0.9971252,0.0002687261,0.0014253758,0.000109714936,0.000030670948,0.000033545446,0.00013579134,0.000020430516,0.0008504743],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989901,0.00049384,0.000090890564,0.000111345624,0.0002393887,0.000074417825],"domain_scores_gemma":[0.98660386,0.008381302,0.0032989194,0.000660803,0.0006303869,0.00042473964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014165174,0.00036220174,0.00019571798,0.00072320015,0.00021930694,0.0015251922,0.00025263193,0.0005591955,0.009165482],"category_scores_gemma":[0.022736238,0.00017872931,0.0005543808,0.00033488974,0.0003947338,0.0010447651,0.0005034502,0.0003557105,0.00061745365],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031592536,0.00058169744,0.8769632,0.0006744379,0.00036672683,0.0006761233,0.015878016,0.0010465642,0.0074144076,0.00047648218,0.0041547194,0.08860847],"study_design_scores_gemma":[0.000102318714,0.0016998944,0.9651279,0.00063973415,0.0003582174,0.0018288611,0.016424863,0.0025569072,0.0024090898,0.000765877,0.007978065,0.00010829119],"about_ca_topic_score_codex":0.0016223281,"about_ca_topic_score_gemma":0.0014395143,"teacher_disagreement_score":0.009165482,"about_ca_system_score_codex":0.00024169692,"about_ca_system_score_gemma":0.00010873836,"threshold_uncertainty_score":0.030661643},"labels":[],"label_agreement":null},{"id":"W1966720862","doi":"10.1177/0272989x03256004","title":"Fast and Frugal Models of Clinical Judgment in Novice and Expert Physicians","year":2003,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Infection and Immunity","funders":"","keywords":"Vignette; Heuristic; Matching (statistics); Psychology; Value (mathematics); Clinical judgment; Logistic regression; Medicine; Applied psychology; Social psychology; Computer science; Statistics; Artificial intelligence; Mathematics; Medical physics; Pathology","score_opus":0.18905995399552714,"score_gpt":0.481086002958928,"score_spread":0.2920260489634009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966720862","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94630885,0.0004105833,0.044452135,0.000779991,0.000055862198,0.00024982204,0.00011158538,0.000060311304,0.007570802],"genre_scores_gemma":[0.9882752,0.0000899614,0.010952517,0.00012542483,0.00002309173,0.00013026308,0.0000748095,0.00000890663,0.0003198687],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9700768,0.024800057,0.00080153154,0.0010613855,0.0026047057,0.00065557146],"domain_scores_gemma":[0.81363666,0.15757251,0.014499784,0.006860023,0.005312201,0.0021188129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.027960967,0.0008220448,0.0007498994,0.0031571726,0.0006350759,0.0030103133,0.0012298598,0.0011327276,0.0027143788],"category_scores_gemma":[0.21050514,0.00058601197,0.001059306,0.0012466136,0.0027681026,0.0037639276,0.002026608,0.0012123164,0.00031447964],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008283044,0.001732842,0.36126643,0.0011800609,0.001079893,0.0017670683,0.023897532,0.23916703,0.0016306022,0.11372456,0.007378329,0.23889257],"study_design_scores_gemma":[0.000519051,0.0021103863,0.075948015,0.0003504913,0.0001608623,0.0012666866,0.0058152415,0.8066127,0.0006292532,0.10418337,0.0021764222,0.00022747918],"about_ca_topic_score_codex":0.00369452,"about_ca_topic_score_gemma":0.0040772627,"teacher_disagreement_score":0.027960967,"about_ca_system_score_codex":0.0025901343,"about_ca_system_score_gemma":0.00129605,"threshold_uncertainty_score":0.14787352},"labels":[],"label_agreement":null},{"id":"W1967017081","doi":"10.1177/0272989x10369001","title":"Developing a Tuberculosis Transmission Model That Accounts for Changes in Population Health","year":2010,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Life expectancy; Medicine; Tuberculosis; Epidemiology; Population; Demography; Proxy (statistics); Psychological intervention; Population health; Environmental health; Transmission (telecommunications); Public health; Mortality rate; Incidence (geometry); Gerontology; Statistics; Surgery","score_opus":0.09373358339035236,"score_gpt":0.4427716200951453,"score_spread":0.34903803670479294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967017081","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27636203,0.0007070333,0.706411,0.0016385909,0.00013998171,0.00021174336,0.0014756694,0.00042525717,0.012628607],"genre_scores_gemma":[0.91742253,0.00048250085,0.07583706,0.0001920391,0.000041755076,0.0003949845,0.0007971411,0.0000693985,0.004762531],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996716,0.00016978862,0.000022124883,0.00005625893,0.000037256406,0.00004297508],"domain_scores_gemma":[0.9988269,0.0007892822,0.00013074352,0.000044326556,0.00016923099,0.000039471994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011272926,0.0004655105,0.00047057692,0.00040319603,0.0003270825,0.000706878,0.0010116324,0.0013060712,0.0022780155],"category_scores_gemma":[0.004615641,0.0004177096,0.001035353,0.0006041126,0.00031576396,0.00095724285,0.0006871799,0.0008933094,0.00037410812],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014403965,0.000017311433,0.0025166522,0.00002245802,0.000022882712,0.00005140996,0.000032252632,0.99172455,0.0002492434,0.0023559856,0.0002657277,0.002727103],"study_design_scores_gemma":[0.000012077834,0.000013251313,0.00026818205,0.0000066026114,0.000011223861,0.00002103192,0.000009521535,0.9975483,0.00012372172,0.0014495067,0.00053175725,0.000004816148],"about_ca_topic_score_codex":0.02252854,"about_ca_topic_score_gemma":0.009710287,"teacher_disagreement_score":0.02252854,"about_ca_system_score_codex":0.0011855282,"about_ca_system_score_gemma":0.0018489002,"threshold_uncertainty_score":0.044794798},"labels":[],"label_agreement":null},{"id":"W1967979861","doi":"10.1177/0272989x0202200309","title":"Reduction Mammaplasty: Defining Medical Necessity","year":2002,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Breast Implant and Reconstruction","field":"Medicine","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mammaplasty; Breast reduction; Medicine; Breast surgery; Physical therapy; Breast cancer; Set (abstract data type); Quality of life (healthcare); MEDLINE; Surgery; Cancer; Computer science; Nursing","score_opus":0.02587630598120863,"score_gpt":0.30614336422014865,"score_spread":0.28026705823894005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967979861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99571204,0.001568317,0.0010003432,0.0003963761,0.000047914215,0.000102746315,0.000101453836,0.000003184106,0.0010676847],"genre_scores_gemma":[0.99686277,0.00021424754,0.002505865,0.00009300132,0.000055783737,0.000056245277,0.00013898355,0.0000012063878,0.00007207168],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99657875,0.0012320293,0.00074788026,0.00020807833,0.001022511,0.00021080795],"domain_scores_gemma":[0.9760894,0.015404737,0.005127479,0.0004941546,0.0021668223,0.00071738526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056063053,0.0002417769,0.00047147562,0.0021555678,0.00039877568,0.0007449154,0.00056765456,0.00052885705,0.0007098412],"category_scores_gemma":[0.032672003,0.00014238786,0.00042363975,0.00076363824,0.0008647376,0.00081765815,0.0010515397,0.00052857335,0.00009654432],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066034717,0.00013293274,0.9625169,0.00017537702,0.00006551173,0.0002457556,0.0005208072,0.00039809846,0.00035624346,0.00064675213,0.00042512114,0.033856213],"study_design_scores_gemma":[0.00032677225,0.0014785759,0.9764588,0.00031897982,0.00016474417,0.005347925,0.0018594444,0.0070826802,0.0012941083,0.0024947599,0.0031088768,0.00006432797],"about_ca_topic_score_codex":0.0010429745,"about_ca_topic_score_gemma":0.0022634636,"teacher_disagreement_score":0.0056063053,"about_ca_system_score_codex":0.0007260266,"about_ca_system_score_gemma":0.00081273477,"threshold_uncertainty_score":0.029649377},"labels":[],"label_agreement":null},{"id":"W1972763552","doi":"10.1177/0272989x06297397","title":"Bedside Rationing by Health Practitioners: A Case Study in a Ugandan Hospital","year":2007,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Rationing; Medicine; Health care rationing; Health care; Actuarial science; Business; Medical emergency; Economics; Economic growth","score_opus":0.01761382841030457,"score_gpt":0.39944017156823425,"score_spread":0.3818263431579297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972763552","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940116,0.0014788363,0.00037739842,0.0016218908,0.000036481182,0.000072337934,0.000015801179,0.0000049393716,0.0023807115],"genre_scores_gemma":[0.99539304,0.0021609063,0.00083660684,0.00064279314,0.000047601592,0.000043731445,0.000012098078,0.0000067999204,0.0008565047],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9949126,0.0032972938,0.00021432617,0.00022718457,0.0003515138,0.0009969679],"domain_scores_gemma":[0.99320143,0.0032024686,0.001804075,0.00015085035,0.00029713108,0.0013439966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028282378,0.0005258424,0.0005349459,0.001565141,0.009241771,0.0027463837,0.0016236887,0.0029022857,0.0026621872],"category_scores_gemma":[0.008541503,0.00086902326,0.00037337857,0.0021243626,0.0034319633,0.002210447,0.0029803228,0.0023331903,0.0002344537],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002293625,0.00092103507,0.10230826,0.0010752117,0.00005337391,0.36377358,0.5021261,0.0005843252,0.001444947,0.003601769,0.0031181073,0.02076391],"study_design_scores_gemma":[0.000025010273,0.000547899,0.025618868,0.00078832026,0.000027819724,0.118866116,0.8376024,0.0006117206,0.00049899385,0.00051954685,0.014819347,0.00007384331],"about_ca_topic_score_codex":0.007942344,"about_ca_topic_score_gemma":0.02174393,"teacher_disagreement_score":0.009241771,"about_ca_system_score_codex":0.005597824,"about_ca_system_score_gemma":0.0028166547,"threshold_uncertainty_score":0.04061526},"labels":[],"label_agreement":null},{"id":"W1978408850","doi":"10.1177/0272989x13501721","title":"Toward Minimum Standards for Certifying Patient Decision Aids","year":2013,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":532,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"Marie Curie; Ottawa Hospital Research Institute","keywords":"Certification; Decision aids; Checklist; Delphi method; Quality (philosophy); Delphi; Process (computing); Psychology; Computer science; Inclusion (mineral); Medical education; Medicine; Social psychology; Artificial intelligence; Alternative medicine; Political science","score_opus":0.2502511443071819,"score_gpt":0.4862352165077257,"score_spread":0.2359840722005438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978408850","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16787007,0.009573047,0.646546,0.06789806,0.0035096353,0.028907066,0.0013871473,0.0018930904,0.07241586],"genre_scores_gemma":[0.24234712,0.0015254325,0.73852956,0.002157296,0.00025191778,0.012314389,0.0011329984,0.00018215264,0.0015591219],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.4286088,0.35178077,0.0979672,0.007491469,0.10705381,0.007097977],"domain_scores_gemma":[0.21612832,0.40193498,0.053452108,0.041083213,0.27672037,0.010680994],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.5329991,0.0014527818,0.0019041917,0.012833676,0.0053802254,0.013957739,0.009118612,0.0049389154,0.0028140685],"category_scores_gemma":[0.62979895,0.0014252708,0.0023694548,0.005775094,0.008078631,0.01004633,0.01681565,0.01020103,0.0016765656],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010335841,0.0015382767,0.06532354,0.0125035625,0.00034615106,0.0004691425,0.058520164,0.0076293168,0.007842687,0.0951659,0.049487397,0.7001403],"study_design_scores_gemma":[0.0014498307,0.007616739,0.1354246,0.062252663,0.0007344568,0.0028520492,0.10663905,0.043599322,0.039029233,0.20857209,0.3903591,0.0014708636],"about_ca_topic_score_codex":0.0030762674,"about_ca_topic_score_gemma":0.0031930842,"teacher_disagreement_score":0.5329991,"about_ca_system_score_codex":0.014938234,"about_ca_system_score_gemma":0.05930805,"threshold_uncertainty_score":0.5758953},"labels":[],"label_agreement":null},{"id":"W1979458535","doi":"10.1177/0272989x03256008","title":"Preference-Based Measurement of Health-Related Quality of Life (HRQL) in Children with Chronic Musculoskeletal Disorders (MSKDs)","year":2003,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Health Utilities Index; Intraclass correlation; Medicine; Quality of life (healthcare); Concordance; Rating scale; Health assessment; Physical therapy; State of health; Categorical variable; Scale (ratio); Gerontology; Psychometrics; Psychology; Clinical psychology; Health related quality of life; Statistics; Developmental psychology; Disease","score_opus":0.30305140833922795,"score_gpt":0.4174880318865219,"score_spread":0.11443662354729395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979458535","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978516,0.00033238597,0.0006494595,0.000040435014,0.0000048699685,0.00005003139,0.0005442667,0.0000050658114,0.00052201195],"genre_scores_gemma":[0.99751425,0.00021973404,0.0015819395,0.000019735611,0.0000057629227,0.0000879583,0.0004384295,0.0000017199553,0.00013060794],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99811125,0.0010110422,0.0002462401,0.00015393051,0.00037424115,0.000103304934],"domain_scores_gemma":[0.99562293,0.0015874049,0.0019279632,0.00017476921,0.00043130532,0.00025558064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027891714,0.00025347734,0.00035405337,0.00087799266,0.000206234,0.0003634506,0.00029668628,0.0002804967,0.0019148636],"category_scores_gemma":[0.008014681,0.00011157327,0.00044302797,0.0009233068,0.00024844863,0.00040907835,0.00048288834,0.00052995613,0.00020890997],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031853316,0.000127697,0.9829791,0.00010705432,0.000070802664,0.00006218578,0.00029218986,0.0002197687,0.0003917225,0.000053109823,0.0002680086,0.015109857],"study_design_scores_gemma":[0.000026801823,0.0008083858,0.99644333,0.000026982116,0.00002970128,0.00077581947,0.00041822676,0.0007268776,0.00033960826,0.00008530291,0.00030627465,0.000012688787],"about_ca_topic_score_codex":0.0016090223,"about_ca_topic_score_gemma":0.0024293626,"teacher_disagreement_score":0.0027891714,"about_ca_system_score_codex":0.00029954236,"about_ca_system_score_gemma":0.0002489765,"threshold_uncertainty_score":0.014750719},"labels":[],"label_agreement":null},{"id":"W1981652493","doi":"10.1177/0272989x14539731","title":"Opportunity Cost of Funding Drugs for Rare Diseases","year":2014,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Complement system in diseases","field":"Immunology and Microbiology","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kingston General Hospital; Health Sciences Centre; Queen's University; University of Ottawa; Sunnybrook Health Science Centre","funders":"","keywords":"Eculizumab; Medicine; Cost effectiveness; Context (archaeology); Opportunity cost; Cost–benefit analysis; Health economics; Quality-adjusted life year; Actuarial science; Health care; Health care rationing; Intensive care medicine; Business; Economics; Public health; Risk analysis (engineering); Political science; Immunology","score_opus":0.04801332625254817,"score_gpt":0.35297551935410393,"score_spread":0.30496219310155576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981652493","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44087967,0.10239601,0.119447656,0.111245446,0.003924066,0.002268889,0.012339001,0.0006084927,0.2068907],"genre_scores_gemma":[0.9733034,0.0111355465,0.008248974,0.002191494,0.0006353019,0.00047068583,0.0010186146,0.00003402484,0.0029619373],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9838537,0.010914138,0.0007911247,0.0004765913,0.0029856265,0.000978902],"domain_scores_gemma":[0.95111394,0.037569553,0.0060222037,0.0012059361,0.0029024738,0.0011860278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0135492245,0.00057614973,0.00074504816,0.0016456696,0.0004762371,0.003199252,0.0010936231,0.0015771232,0.00956589],"category_scores_gemma":[0.0531645,0.00031612391,0.0021124019,0.0013389864,0.0014648066,0.0019273307,0.0020237456,0.0021875175,0.00046753074],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0051489784,0.0003851799,0.045590837,0.0047142874,0.00415867,0.0014277389,0.00055078114,0.105375595,0.0017600841,0.23496416,0.030626947,0.5652966],"study_design_scores_gemma":[0.0034198586,0.0060981675,0.107503794,0.016672418,0.009313285,0.012669785,0.0016195863,0.15666746,0.00633938,0.31247094,0.36664337,0.000582066],"about_ca_topic_score_codex":0.0055774758,"about_ca_topic_score_gemma":0.0036172797,"teacher_disagreement_score":0.0135492245,"about_ca_system_score_codex":0.007562107,"about_ca_system_score_gemma":0.008278207,"threshold_uncertainty_score":0.07165599},"labels":[],"label_agreement":null},{"id":"W1983489842","doi":"10.1177/0272989x03261568","title":"Estimating the Prognosis of Hepatitis C Patients Infected by Transfusion in Canada between 1986 and 1990","year":2004,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Hepatitis C virus research","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto General Hospital","funders":"","keywords":"Medicine; Cirrhosis; Cohort; Natural history; Blood transfusion; Hepatitis C; Hepatitis C virus; Confidence interval; Cohort study; Liver disease; Markov model; Internal medicine; Intensive care medicine; Pediatrics; Markov chain; Virology; Virus; Statistics","score_opus":0.017048214030822448,"score_gpt":0.3134578114904411,"score_spread":0.29640959745961865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983489842","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99015194,0.00025296252,0.0033611793,0.000941578,0.000009170564,0.00007984757,0.0038360402,0.000052948533,0.0013143418],"genre_scores_gemma":[0.9951683,0.00016902779,0.0021047879,0.000048396658,0.0000038002538,0.000021392101,0.0018908571,0.000003626037,0.0005897492],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99959546,0.00010946362,0.000022829774,0.000063850486,0.000079651676,0.00012877148],"domain_scores_gemma":[0.99821377,0.0005423326,0.00038032958,0.0000753839,0.0005460094,0.0002423066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015675462,0.00042202623,0.0003609966,0.00073456694,0.0007162945,0.0005374162,0.00084301655,0.00048289137,0.0012677702],"category_scores_gemma":[0.007343369,0.0003924095,0.0004827959,0.00060743035,0.0004217777,0.0003434735,0.0005196363,0.0005123978,0.00014195703],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039175822,0.00007191055,0.7599747,0.000042452564,0.00017872531,0.00014287856,0.00017384844,0.22609158,0.0001416352,0.0016736255,0.0017542841,0.0093625905],"study_design_scores_gemma":[0.00016982916,0.00013804669,0.28955922,0.00006142985,0.00013132257,0.00016740905,0.00034175717,0.705449,0.00043083806,0.0015442836,0.0019648666,0.000042034782],"about_ca_topic_score_codex":0.9574609,"about_ca_topic_score_gemma":0.93105924,"teacher_disagreement_score":0.04253912,"about_ca_system_score_codex":0.018312242,"about_ca_system_score_gemma":0.01607064,"threshold_uncertainty_score":0.13286525},"labels":[],"label_agreement":null},{"id":"W1984421215","doi":"10.1177/0272989x07312477","title":"The Option Value of Delay in Health Technology Assessment","year":2008,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"","keywords":"Reimbursement; Value of information; Stochastic game; Option value; Actuarial science; Value (mathematics); Health technology; Cost–benefit analysis; Opportunity cost; Economics; Microeconomics; Computer science; Incentive; Health care","score_opus":0.29609196175929686,"score_gpt":0.5059744187735876,"score_spread":0.20988245701429076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984421215","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18629554,0.059723094,0.6480634,0.03542424,0.0015566896,0.0013008274,0.0021506886,0.0003370312,0.06514845],"genre_scores_gemma":[0.95255643,0.00755506,0.034555495,0.00074814464,0.00052995473,0.0003717658,0.00018704543,0.000043681215,0.0034524482],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.97712916,0.017699849,0.0008566915,0.0015874805,0.002086287,0.00064046273],"domain_scores_gemma":[0.73690975,0.2454991,0.009498398,0.003742102,0.003067274,0.0012833267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.025798276,0.0015927956,0.0015068974,0.001513953,0.00063914544,0.005732888,0.0018512538,0.0042115883,0.009568361],"category_scores_gemma":[0.14511457,0.00057490804,0.001122562,0.0021010903,0.004668582,0.0063498393,0.0030193813,0.0050575603,0.00043011096],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027953933,0.00026593808,0.009991859,0.0023100618,0.0005870756,0.0003964885,0.0004019043,0.25138253,0.0007276374,0.47419065,0.0034797033,0.25347078],"study_design_scores_gemma":[0.00026724295,0.000996285,0.00485682,0.002286876,0.0006211929,0.000755266,0.00029597466,0.24871159,0.0014502889,0.7271367,0.012440807,0.00018098213],"about_ca_topic_score_codex":0.0013307375,"about_ca_topic_score_gemma":0.0010133336,"teacher_disagreement_score":0.025798276,"about_ca_system_score_codex":0.0053721275,"about_ca_system_score_gemma":0.0030594945,"threshold_uncertainty_score":0.13643593},"labels":[],"label_agreement":null},{"id":"W1990237742","doi":"10.1177/0272989x09334419","title":"Incorporating Herd Immunity Effects into Cohort Models of Vaccine Cost-Effectiveness","year":2009,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; GlaxoSmithKline (Canada); University of Guelph","funders":"GlaxoSmithKline","keywords":"Herd immunity; Cohort; Medicine; Immunity; Vaccination; Immunology; Immune system; Internal medicine","score_opus":0.2271922060979795,"score_gpt":0.4653424012989373,"score_spread":0.2381501952009578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990237742","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11478899,0.0009749289,0.87657636,0.0007387896,0.00010605471,0.00022127005,0.0005519528,0.000145823,0.0058958377],"genre_scores_gemma":[0.9254609,0.0013131421,0.06614905,0.00021708553,0.0000813107,0.00041226132,0.00040203132,0.000064697466,0.0058993874],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99895847,0.0006246658,0.000034100634,0.0001334694,0.000120329016,0.00012904913],"domain_scores_gemma":[0.99501663,0.003990744,0.00037243348,0.00021016701,0.0002914215,0.00011857529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004641293,0.00079684384,0.00064790505,0.0008894713,0.00028573905,0.0009504628,0.0018640574,0.0009218573,0.0032828099],"category_scores_gemma":[0.010464306,0.0004886907,0.0020668614,0.000624848,0.00046243385,0.001176284,0.00081227254,0.0012484048,0.00027014257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030874213,0.000031488464,0.0047485763,0.000040806466,0.00011459035,0.000072516945,0.00005634203,0.9742732,0.00024508339,0.013684269,0.0003484337,0.0063537187],"study_design_scores_gemma":[0.000010256412,0.0000537499,0.00083008985,0.000015914342,0.000054263295,0.00003433867,0.000010769743,0.9904599,0.000105384024,0.0077076196,0.0007100311,0.000007686373],"about_ca_topic_score_codex":0.014303908,"about_ca_topic_score_gemma":0.009447956,"teacher_disagreement_score":0.014303908,"about_ca_system_score_codex":0.0016578693,"about_ca_system_score_gemma":0.0017296202,"threshold_uncertainty_score":0.02844131},"labels":[],"label_agreement":null},{"id":"W1990801963","doi":"10.1177/0272989x0002000104","title":"Does Clinical Error Contribute to Unnecessary Antibiotic Use?","year":2000,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Medical Malpractice and Liability Issues","field":"Health Professions","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sinai Health System; Mount Sinai Hospital","funders":"","keywords":"Sore throat; Medicine; Antibiotics; Pharyngitis; Throat; Intensive care medicine; Throat culture; Streptococcus; Internal medicine; Pediatrics; Surgery; Microbiology","score_opus":0.12319627528592199,"score_gpt":0.5354014388806843,"score_spread":0.4122051635947623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990801963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8162928,0.023152735,0.012715637,0.12217992,0.0011204394,0.00024088143,0.00028612843,0.00010609418,0.023905415],"genre_scores_gemma":[0.98984396,0.0030061046,0.0018336955,0.0036850076,0.0010384253,0.000025642721,0.000046716974,0.00001952463,0.0005009244],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.94169575,0.03624819,0.0053108623,0.0024513432,0.012138247,0.0021556807],"domain_scores_gemma":[0.47172892,0.39052147,0.099688314,0.012776595,0.020282557,0.005002208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.029514017,0.00047055114,0.00082457566,0.0030250351,0.0015402884,0.0025467337,0.0009564939,0.0034107603,0.004692122],"category_scores_gemma":[0.4101529,0.0005965195,0.000904392,0.0019692818,0.0034349784,0.003359232,0.0019989917,0.0026121244,0.0005082558],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041215887,0.00026589265,0.88719475,0.0003541435,0.00034140018,0.0031785555,0.0036181386,0.00059273577,0.00009116859,0.0064485935,0.003997033,0.09350546],"study_design_scores_gemma":[0.00019006577,0.0010208467,0.84615356,0.0032697963,0.00069010694,0.04075566,0.0101650655,0.016947176,0.0009600568,0.058850653,0.020781916,0.00021500191],"about_ca_topic_score_codex":0.0037380317,"about_ca_topic_score_gemma":0.002646138,"teacher_disagreement_score":0.029514017,"about_ca_system_score_codex":0.0016028656,"about_ca_system_score_gemma":0.0034269602,"threshold_uncertainty_score":0.15608692},"labels":[],"label_agreement":null},{"id":"W1992099844","doi":"10.1177/0272989x15578127","title":"Mapping between 6 Multiattribute Utility Instruments","year":2015,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Comparability; EQ-5D; Actuarial science; Goodness of fit; Econometrics; Ordinary least squares; Quality-adjusted life year; Estimator; Quality (philosophy); Index (typography); Statistics; Operations research; Medicine; Computer science; Economics; Mathematics; Cost effectiveness; Disease; Health related quality of life","score_opus":0.5828080783151686,"score_gpt":0.49555686313634423,"score_spread":0.08725121517882434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992099844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77556366,0.001660068,0.20905328,0.0005551455,0.000120507146,0.0010972678,0.0027211008,0.0003907125,0.008838406],"genre_scores_gemma":[0.928166,0.00035264678,0.0684649,0.000078782396,0.000024532852,0.0011610313,0.0013689115,0.00005312216,0.0003301209],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.97675055,0.01815261,0.0012207675,0.00128768,0.0022397402,0.00034862547],"domain_scores_gemma":[0.9424268,0.04445568,0.0055702156,0.004018967,0.0031239926,0.0004043082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.021143926,0.001071866,0.00065884687,0.003947544,0.00035982803,0.0018013073,0.0009208653,0.00049079023,0.0036047727],"category_scores_gemma":[0.08323962,0.0003333239,0.0025782343,0.005023466,0.0010598636,0.001682237,0.0023943593,0.0011580985,0.0006066779],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00087887427,0.00034366752,0.66038126,0.0008476991,0.0013990079,0.000154952,0.001902431,0.020872088,0.0010051179,0.012718337,0.0017824859,0.29771405],"study_design_scores_gemma":[0.00027300455,0.0032159851,0.80181456,0.0011328254,0.0012185323,0.0009390978,0.0031435846,0.10975235,0.0057519004,0.055981062,0.016545597,0.00023151428],"about_ca_topic_score_codex":0.0010753326,"about_ca_topic_score_gemma":0.0005878819,"teacher_disagreement_score":0.021143926,"about_ca_system_score_codex":0.0010045958,"about_ca_system_score_gemma":0.0009582972,"threshold_uncertainty_score":0.111821115},"labels":[],"label_agreement":null},{"id":"W1995702931","doi":"10.1177/0272989x13475718","title":"Scoring the 5-Level EQ-5D","year":2013,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; St. Joseph’s Healthcare Hamilton","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Computer science","score_opus":0.6224432138530742,"score_gpt":0.46638050969000533,"score_spread":0.1560627041630689,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995702931","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7006159,0.006010304,0.14929557,0.0036932006,0.00040680473,0.0031552978,0.051971447,0.00083388085,0.08401755],"genre_scores_gemma":[0.92837006,0.0013133375,0.055889554,0.00041582156,0.000030266814,0.0009162691,0.01025548,0.00003757975,0.0027717922],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99437743,0.0025265592,0.00046917665,0.0003784793,0.0019881306,0.00026021161],"domain_scores_gemma":[0.9938373,0.0024004492,0.00095940253,0.000508211,0.0019880554,0.00030661773],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.008678238,0.0005226421,0.00051844283,0.0017426047,0.00034525894,0.0013441772,0.0010041093,0.00057240226,0.010590376],"category_scores_gemma":[0.023325153,0.00010620978,0.0012803308,0.0016778982,0.0013602407,0.00088813616,0.0012103958,0.0009399233,0.0020737466],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016256239,0.00042533077,0.41951323,0.0018077575,0.0007306582,0.00013739971,0.0012988257,0.018680194,0.00248524,0.02726281,0.03142367,0.49460933],"study_design_scores_gemma":[0.00026357383,0.0019781126,0.8437554,0.0016986305,0.00041229313,0.00065596367,0.0016274259,0.036402702,0.0046155667,0.026773347,0.08156617,0.000250794],"about_ca_topic_score_codex":0.028769098,"about_ca_topic_score_gemma":0.032058954,"teacher_disagreement_score":0.99132174,"about_ca_system_score_codex":0.003576523,"about_ca_system_score_gemma":0.003005523,"threshold_uncertainty_score":0.057203293},"labels":[],"label_agreement":null},{"id":"W1995914824","doi":"10.1177/0272989x15575285","title":"Use of Bayesian Markov Chain Monte Carlo Methods to Estimate EQ-5D Utility Scores from EORTC QLQ Data in Myeloma for Use in Cost-Effectiveness Analysis","year":2015,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Bayesian probability; Statistics; Econometrics; Markov chain Monte Carlo; Computer science; Frequentist inference; Context (archaeology); Missing data; Data mining; Bayesian inference; Mathematics","score_opus":0.7010650185572499,"score_gpt":0.5604106812754549,"score_spread":0.140654337281795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995914824","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.077351786,0.001245089,0.91767514,0.00044876797,0.000032606073,0.0006515055,0.0006660793,0.00035071,0.0015783441],"genre_scores_gemma":[0.60192,0.001139834,0.39104527,0.000303963,0.000061392864,0.0031009058,0.0016764129,0.00011239855,0.0006398089],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98617494,0.011870171,0.00045831897,0.0005841209,0.0007696339,0.00014269717],"domain_scores_gemma":[0.89389944,0.09936345,0.003287164,0.00173135,0.0014930138,0.00022549267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02800657,0.0011021082,0.0015494211,0.0022982946,0.00065100635,0.0015633054,0.0017617632,0.0012580779,0.0026177485],"category_scores_gemma":[0.11712606,0.0012159768,0.001950641,0.0020206238,0.0006843034,0.0016102009,0.0014009204,0.0023058655,0.00031817605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007779525,0.00028254182,0.021377048,0.00037915006,0.0009331322,0.00017321613,0.00027607204,0.8653605,0.00036682762,0.014808107,0.0009695441,0.09429594],"study_design_scores_gemma":[0.00017101904,0.00010246479,0.0034216258,0.0001238367,0.00013756924,0.00006478486,0.000028170485,0.97373044,0.00022299198,0.021457756,0.00050185085,0.000037445105],"about_ca_topic_score_codex":0.016740669,"about_ca_topic_score_gemma":0.018252555,"teacher_disagreement_score":0.02800657,"about_ca_system_score_codex":0.0019893583,"about_ca_system_score_gemma":0.0028662304,"threshold_uncertainty_score":0.14811468},"labels":[],"label_agreement":null},{"id":"W1996073988","doi":"10.1177/0272989x10375853","title":"Presenting the Results of Cochrane Systematic Reviews to a Consumer Audience: A Qualitative Study","year":2010,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":129,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Cochrane; University of Ottawa; McMaster University","funders":"","keywords":"Systematic review; Medicine; Psychology; MEDLINE; Political science","score_opus":0.6511906448066801,"score_gpt":0.6268698211041657,"score_spread":0.024320823702514427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996073988","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"reporting","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"reporting","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8842179,0.0072113196,0.05465652,0.030432912,0.0006641532,0.011478357,0.0011155708,0.00027729862,0.009945947],"genre_scores_gemma":[0.90510565,0.006867684,0.04896307,0.011766676,0.00021560772,0.022871817,0.00036812687,0.0003017332,0.0035396863],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.70692223,0.251727,0.013166989,0.004982364,0.017898815,0.005302586],"domain_scores_gemma":[0.44669703,0.4778021,0.019487564,0.0059566097,0.043442793,0.0066139],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2199243,0.0009498219,0.0021588113,0.005479069,0.009301063,0.0064799297,0.0034310648,0.0051792334,0.0037570838],"category_scores_gemma":[0.3884917,0.0016775787,0.0016045031,0.004802919,0.010242254,0.009922412,0.0116832545,0.0065200557,0.0009911153],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012751162,0.00009759458,0.0017597586,0.0033741235,0.000026574424,0.0006455941,0.9772295,0.00007619376,0.0015094749,0.0010202939,0.0010012555,0.013132112],"study_design_scores_gemma":[0.000109554385,0.0005248798,0.002297899,0.0062396144,0.00005660369,0.00083577243,0.9627714,0.00046048526,0.0014298136,0.001367422,0.023786347,0.00012010058],"about_ca_topic_score_codex":0.003048313,"about_ca_topic_score_gemma":0.0041989926,"teacher_disagreement_score":0.78007567,"about_ca_system_score_codex":0.012835005,"about_ca_system_score_gemma":0.019300945,"threshold_uncertainty_score":0.96197224},"labels":[],"label_agreement":null},{"id":"W1997843288","doi":"10.1177/0272989x14556676","title":"Exploring the Potential Cost-Effectiveness of Patient Decision Aids for Use in Adults with Obstructive Sleep Apnea","year":2014,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Obstructive Sleep Apnea Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"St. Paul's Hospital; Centre for Advancing Health Outcomes; Ottawa Hospital; University of British Columbia; Vancouver Coastal Health Research Institute; Vancouver Coastal Health","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Cost effectiveness; Cohort; Obstructive sleep apnea; Randomized controlled trial; Incremental cost-effectiveness ratio; Decision aids; Physical therapy; Quality-adjusted life year; Alternative medicine; Surgery; Internal medicine","score_opus":0.04541206030204751,"score_gpt":0.3295506152217962,"score_spread":0.28413855491974865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997843288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9425308,0.015387395,0.023682788,0.0045672404,0.00015963138,0.0017545829,0.0019559483,0.00008884944,0.009872693],"genre_scores_gemma":[0.989654,0.0017295765,0.007428993,0.00023688702,0.000022990518,0.00042328643,0.00022124815,0.000004017699,0.00027899153],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9937449,0.005077875,0.00023538957,0.0002499413,0.00045774528,0.00023416909],"domain_scores_gemma":[0.9640589,0.033066865,0.001823111,0.0002121189,0.00036310713,0.0004758078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008541819,0.0008781575,0.00086164044,0.0010243235,0.00031752666,0.0020277482,0.0008643035,0.0013374202,0.005500941],"category_scores_gemma":[0.038311727,0.00043310047,0.0026277932,0.00076781644,0.00058683194,0.0014080441,0.0010675951,0.0013742173,0.00013318715],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.014955599,0.003387915,0.09914064,0.004150936,0.0049644206,0.00038905302,0.00039033167,0.63847435,0.0005998752,0.014302078,0.001622092,0.21762277],"study_design_scores_gemma":[0.0044708094,0.01767192,0.032854374,0.0030866389,0.0049795024,0.0005712205,0.0006398754,0.9006642,0.0011592973,0.027214667,0.006510221,0.00017728811],"about_ca_topic_score_codex":0.007254483,"about_ca_topic_score_gemma":0.0074063325,"teacher_disagreement_score":0.008541819,"about_ca_system_score_codex":0.0031182885,"about_ca_system_score_gemma":0.0041366015,"threshold_uncertainty_score":0.045174003},"labels":[],"label_agreement":null},{"id":"W1998078556","doi":"10.1177/0272989x09353947","title":"Informed Choice Assistance for Women Making Uterine Fibroid Treatment Decisions: A Practical Clinical Trial","year":2009,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Uterine Myomas and Treatments","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Uterine fibroids; Medicine; Clinical trial; Gynecology; Clinical decision making; Obstetrics; Intensive care medicine; Internal medicine","score_opus":0.1436823406416142,"score_gpt":0.514288237355758,"score_spread":0.3706058967141438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998078556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9568822,0.0015400994,0.0011429274,0.0018798275,0.00039811913,0.035045665,0.00043255748,0.00007507788,0.002603465],"genre_scores_gemma":[0.92123103,0.0016858545,0.009025907,0.001884663,0.0007383906,0.062752366,0.0004425819,0.000011198363,0.0022280207],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9898859,0.008267844,0.00046746072,0.0005010336,0.00047863982,0.00039920883],"domain_scores_gemma":[0.9800285,0.013810853,0.002589694,0.00093441,0.00062569015,0.0020107264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013170928,0.0012910535,0.0016477008,0.0008129381,0.0009412675,0.0009863625,0.0013906896,0.0041489773,0.018077701],"category_scores_gemma":[0.022622816,0.0006791988,0.0016198317,0.0006635035,0.001963963,0.0017556538,0.001362256,0.0025667509,0.0011236378],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.82924527,0.114833474,0.002238854,0.0017431382,0.0005722555,0.000094973824,0.00043876542,0.00071927335,0.0004937382,0.0003416004,0.00097644026,0.048302222],"study_design_scores_gemma":[0.7678885,0.2285823,0.0015092569,0.00012290123,0.00021523723,0.000020579615,0.00009072059,0.00045319134,0.00015770507,0.0002192644,0.0007273237,0.000013061616],"about_ca_topic_score_codex":0.000841632,"about_ca_topic_score_gemma":0.00102099,"teacher_disagreement_score":0.018077701,"about_ca_system_score_codex":0.0010887732,"about_ca_system_score_gemma":0.0027883467,"threshold_uncertainty_score":0.06965536},"labels":[],"label_agreement":null},{"id":"W1998948430","doi":"10.1177/0272989x09336075","title":"Capacity Constraints and Cost-Effectiveness: A Discrete Event Simulation for Drug-Eluting Stents","year":2009,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Programs for Assessment of Technology in Health Research Institute","funders":"","keywords":"Discrete event simulation; Scarcity; Computer science; Psychological intervention; Resource (disambiguation); Resource allocation; Operations management; Cost–benefit analysis; Cost effectiveness; Operations research; Medicine; Economics; Simulation; Microeconomics; Mathematics","score_opus":0.12689367170748925,"score_gpt":0.5112392589186368,"score_spread":0.38434558721114753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998948430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88835704,0.0011538353,0.08790512,0.002393186,0.00017516097,0.0006083945,0.0029517205,0.00019449147,0.016261145],"genre_scores_gemma":[0.9868478,0.00034835632,0.010330822,0.000118945085,0.00002043471,0.00029835707,0.00045268904,0.000017202008,0.0015652991],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984566,0.0010174862,0.000053343563,0.00011726315,0.0001097387,0.00024556226],"domain_scores_gemma":[0.9787139,0.01919367,0.0007796236,0.00020088299,0.00064062607,0.0004712885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031388185,0.001248468,0.001597831,0.0014742771,0.0007246303,0.0018258742,0.0015875302,0.0028553947,0.006092068],"category_scores_gemma":[0.010918418,0.00081266434,0.0022511585,0.0013396733,0.0009385527,0.0010258993,0.0010275416,0.0023858424,0.00021384514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011511443,0.00006935886,0.0007949936,0.000027279773,0.000025808347,0.000040512106,0.000014255645,0.996838,0.00004432782,0.0014183962,0.00009409956,0.00051782903],"study_design_scores_gemma":[0.000072494375,0.00006457789,0.0002622093,0.000010606015,0.000026655434,0.0000095159785,0.000023149942,0.9983753,0.000068716654,0.00094368885,0.00013477272,0.000008188474],"about_ca_topic_score_codex":0.04071688,"about_ca_topic_score_gemma":0.015111194,"teacher_disagreement_score":0.04071688,"about_ca_system_score_codex":0.0036718214,"about_ca_system_score_gemma":0.003008489,"threshold_uncertainty_score":0.0809598},"labels":[],"label_agreement":null},{"id":"W1999005999","doi":"10.1177/0272989x12453504","title":"The Choice of a Noninformative Prior on Between-Study Variance Strongly Affects Predictions of Future Treatment Effect","year":2012,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Public Health Ontario; University of Toronto; Osteoporosis Canada; University Health Network; St. Michael's Hospital","funders":"Canadian Institutes of Health Research","keywords":"Prior probability; Deviance (statistics); Statistics; Bayesian probability; Mathematics; Population; Deviance information criterion; Sample size determination; Econometrics; Bayesian inference; Medicine","score_opus":0.3606362378436365,"score_gpt":0.5202843149643358,"score_spread":0.15964807712069928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999005999","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10154707,0.04765349,0.83839345,0.005050995,0.00082660164,0.0013340528,0.0012142508,0.0011934674,0.0027866561],"genre_scores_gemma":[0.77938193,0.0058515742,0.2070537,0.0034222426,0.00039000972,0.0019111781,0.0010875828,0.00042756763,0.00047407945],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.69422984,0.25660324,0.019180905,0.017412195,0.011395675,0.0011781421],"domain_scores_gemma":[0.3433538,0.59765553,0.018370798,0.03451952,0.005519187,0.00058123114],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.32981712,0.0026369358,0.0055554383,0.0032892756,0.0015084932,0.0065284786,0.0037156844,0.004309306,0.0022531631],"category_scores_gemma":[0.5771807,0.0023516605,0.013841833,0.003717448,0.004903225,0.0062409835,0.003165317,0.008895167,0.0005662393],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010582411,0.00056299573,0.15951054,0.02168878,0.18042527,0.0015161873,0.0031392516,0.17469922,0.011980524,0.056153245,0.0097580915,0.36998358],"study_design_scores_gemma":[0.0070475987,0.003870216,0.16513318,0.017342638,0.13119572,0.002749371,0.0009730992,0.21483102,0.023503112,0.40519658,0.026522098,0.0016353256],"about_ca_topic_score_codex":0.0029587469,"about_ca_topic_score_gemma":0.0034519797,"teacher_disagreement_score":0.6701829,"about_ca_system_score_codex":0.003051909,"about_ca_system_score_gemma":0.0032170787,"threshold_uncertainty_score":0.8264548},"labels":[],"label_agreement":null},{"id":"W1999959624","doi":"10.1177/0272989x06297389","title":"Costs of Rheumatoid Arthritis: New Estimates from the Human Capital Method and Comparison to the Willingness-to-Pay Method","year":2007,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; McGill University Health Centre; McGill University","funders":"","keywords":"Willingness to pay; Contingent valuation; Context (archaeology); Actuarial science; Indirect costs; Medicine; Rheumatoid arthritis; Population; Valuation (finance); Health economics; Public health; Human capital; Environmental health; Economics; Geography; Finance","score_opus":0.2209451114246103,"score_gpt":0.49811101640975813,"score_spread":0.2771659049851478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999959624","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3834648,0.06621116,0.4828929,0.0035736612,0.00089508976,0.0018588037,0.010194953,0.00029742208,0.050611272],"genre_scores_gemma":[0.89757156,0.010055952,0.08544947,0.00023755447,0.0002497597,0.0010364314,0.0028632812,0.00010196358,0.0024341405],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.98665476,0.008009994,0.00041557895,0.0006003444,0.0040301178,0.00028924702],"domain_scores_gemma":[0.950468,0.039396845,0.0033515147,0.0029363488,0.003440699,0.00040650074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017365484,0.001337098,0.0009712929,0.0074010137,0.00040201432,0.0024578867,0.0021779432,0.0010487675,0.0037207436],"category_scores_gemma":[0.07819103,0.0004082379,0.0020035172,0.0053346897,0.0014249085,0.0031234524,0.001876222,0.0017861301,0.00028522927],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002304476,0.00040037578,0.20942315,0.00287922,0.004789714,0.000562902,0.0024032788,0.17591909,0.00052224024,0.0829678,0.010992053,0.50683564],"study_design_scores_gemma":[0.00044825248,0.00092796667,0.4125298,0.0025916353,0.001522411,0.0022632396,0.0028539884,0.41085094,0.0011549315,0.12726393,0.036823314,0.0007695025],"about_ca_topic_score_codex":0.083837524,"about_ca_topic_score_gemma":0.03747797,"teacher_disagreement_score":0.083837524,"about_ca_system_score_codex":0.008823816,"about_ca_system_score_gemma":0.0027739133,"threshold_uncertainty_score":0.16669905},"labels":[],"label_agreement":null},{"id":"W2003286188","doi":"10.1177/0272989x07312714","title":"The Cost-Effectiveness of Counseling Strategies to Improve Adherence to Highly Active Antiretroviral Therapy among Men Who Have Sex with Men","year":2008,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Michael's Hospital; Western University","funders":"National Institute on Drug Abuse","keywords":"Medicine; Psychological intervention; Men who have sex with men; Cost effectiveness; Population; Intervention (counseling); Transmission (telecommunications); Human immunodeficiency virus (HIV); Antiretroviral therapy; Cost-effectiveness analysis; Viral load; Physical therapy; Demography; Family medicine; Environmental health; Psychiatry","score_opus":0.03398645882041067,"score_gpt":0.3803610488315129,"score_spread":0.3463745900111022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003286188","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93858415,0.010673303,0.03342288,0.0045618555,0.00018495963,0.00095537916,0.0014915633,0.00018792017,0.009937996],"genre_scores_gemma":[0.9933842,0.001482958,0.003803165,0.00018526865,0.000021452828,0.00016106264,0.00019447417,0.000005824155,0.0007615192],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99864155,0.0009631057,0.000038523674,0.000073371004,0.00014270758,0.00014063546],"domain_scores_gemma":[0.9958326,0.0034301383,0.00036043194,0.000064645,0.00015135735,0.00016086633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027649228,0.0010362072,0.0009812247,0.00080927607,0.00030450354,0.0011503169,0.0011122762,0.0017092233,0.0039077345],"category_scores_gemma":[0.010057628,0.00060599827,0.0019551374,0.00056983373,0.0004848754,0.0011968965,0.0008300506,0.0009403183,0.00012991582],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0043877643,0.0011618538,0.018012442,0.00087682926,0.002151023,0.00014024705,0.00005232749,0.90986776,0.00067427114,0.0030817683,0.001010351,0.05858342],"study_design_scores_gemma":[0.0024221432,0.0054639042,0.024232322,0.000677651,0.0036839263,0.00029954434,0.00018473073,0.95204043,0.001391012,0.007936257,0.0015889007,0.0000791292],"about_ca_topic_score_codex":0.011600478,"about_ca_topic_score_gemma":0.006220558,"teacher_disagreement_score":0.011600478,"about_ca_system_score_codex":0.0039257985,"about_ca_system_score_gemma":0.003208468,"threshold_uncertainty_score":0.028483808},"labels":[],"label_agreement":null},{"id":"W2003516918","doi":"10.1177/0272989x10397615","title":"Effect of Treatment Interruption and Intensification of Antiretroviral Therapy on Health-Related Quality of Life in Patients with Advanced HIV","year":2011,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"HIV Legal Network; Centre for Advancing Health Outcomes; St. Paul's Hospital; University of Toronto; St. Michael's Hospital","funders":"Canadian Institutes of Health Research; Ontario HIV Treatment Network","keywords":"Medicine; Quality of life (healthcare); Visual analogue scale; Randomized controlled trial; Antiretroviral therapy; Human immunodeficiency virus (HIV); Cohort; Clinical trial; Physical therapy; Internal medicine; Viral load; Family medicine","score_opus":0.07339193055823794,"score_gpt":0.4168533306335525,"score_spread":0.34346140007531456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003516918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99125975,0.0071118586,0.00011101432,0.00035184567,0.000091825445,0.00030122136,0.00011705807,0.000010989233,0.00064448564],"genre_scores_gemma":[0.9964239,0.002034272,0.0004193556,0.0002662731,0.00013226466,0.00044211524,0.0001355158,0.0000019261633,0.00014441606],"study_design_codex":"randomized_trial","study_design_gemma":"observational","domain_scores_codex":[0.9989329,0.00069638283,0.000100096004,0.00007870334,0.000086689586,0.00010511764],"domain_scores_gemma":[0.99697506,0.0016505481,0.00075601216,0.00009781523,0.00006885339,0.0004517288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018534536,0.0003791859,0.0012216509,0.00018433812,0.00030148774,0.0004783383,0.0004162046,0.00068472937,0.0021276544],"category_scores_gemma":[0.003952827,0.00021652508,0.0014935647,0.00026241364,0.00039228215,0.0003298551,0.0002999476,0.0017547248,0.00008773519],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.80328244,0.020549603,0.026512869,0.0031735105,0.0038048006,0.00006893053,0.00024852355,0.0012486982,0.0015394555,0.00017744162,0.00084562774,0.13854814],"study_design_scores_gemma":[0.36057147,0.4623013,0.16711883,0.00091895537,0.0040273224,0.00015672842,0.00018558,0.00203249,0.000716191,0.0003368049,0.0015881213,0.000046262052],"about_ca_topic_score_codex":0.00086587167,"about_ca_topic_score_gemma":0.0012643756,"teacher_disagreement_score":0.0021276544,"about_ca_system_score_codex":0.00037822896,"about_ca_system_score_gemma":0.00078159093,"threshold_uncertainty_score":0.009802103},"labels":[],"label_agreement":null},{"id":"W2003533845","doi":"10.1177/0272989x13493970","title":"Health Care Costs for State Transition Models in Prostate Cancer","year":2013,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institute of Health Services and Policy Research; Muscular Dystrophy Canada; University of Toronto; Toronto Public Health","funders":"Canadian Institutes of Health Research; Institute for Clinical Evaluative Sciences","keywords":"Medicine; Prostatectomy; Comorbidity; Health care; Prostate cancer; Cancer registry; Cancer; Healthcare Cost and Utilization Project; Demography; Family medicine; Emergency medicine; Internal medicine","score_opus":0.2455579437203913,"score_gpt":0.4760636838137804,"score_spread":0.2305057400933891,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003533845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56193954,0.0033329981,0.3938789,0.0072164224,0.0003155485,0.0010644376,0.010852864,0.0006750164,0.020724202],"genre_scores_gemma":[0.9599149,0.00086393475,0.027984595,0.00023117062,0.000090369176,0.001034216,0.0035594092,0.000070862945,0.006250548],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985221,0.0009829386,0.00004654944,0.0001818479,0.00009351163,0.00017305247],"domain_scores_gemma":[0.9893992,0.009056976,0.00072130153,0.00014618855,0.00045804222,0.00021824616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051241643,0.0010708526,0.0011861218,0.0014497049,0.00078432885,0.0018893884,0.0015825785,0.0012159542,0.008435087],"category_scores_gemma":[0.018155754,0.00068508973,0.0013802246,0.0013748275,0.0010160519,0.0021371495,0.0014087927,0.0019025664,0.0003927173],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001541004,0.000073628216,0.009917275,0.000080584476,0.00008862391,0.00008779949,0.00009793471,0.95905036,0.000026693571,0.02368827,0.0017593239,0.004975411],"study_design_scores_gemma":[0.000042505962,0.000025205623,0.001385301,0.000029200803,0.000029396278,0.000019070801,0.00006416379,0.98030704,0.000015764523,0.017610775,0.00046012734,0.000011521917],"about_ca_topic_score_codex":0.06962381,"about_ca_topic_score_gemma":0.05891508,"teacher_disagreement_score":0.06962381,"about_ca_system_score_codex":0.005253885,"about_ca_system_score_gemma":0.0034474356,"threshold_uncertainty_score":0.13843715},"labels":[],"label_agreement":null},{"id":"W2006934976","doi":"10.1177/0272989x0202200413","title":"How Robust Is the Health Utilities Index Mark 2 Utility Function?","year":2002,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; McMaster Children's Hospital; Hamilton Health Sciences; Institute of Health Economics","funders":"","keywords":"Index (typography); Function (biology); Health Utilities Index; Quality-adjusted life year; Econometrics; Actuarial science; Economics; Computer science; Medicine; Operations management; Health related quality of life; Disease; Cost effectiveness","score_opus":0.41523929465081916,"score_gpt":0.42490674263786365,"score_spread":0.009667447987044497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006934976","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44950554,0.035322513,0.46207234,0.023614505,0.0012604975,0.00066216924,0.007322681,0.0009473854,0.01929239],"genre_scores_gemma":[0.9736177,0.001645888,0.021569474,0.00092409144,0.00028779378,0.00021785017,0.001226528,0.000117742806,0.00039303373],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.95669925,0.03420499,0.0019026479,0.0031575407,0.0033921083,0.0006434727],"domain_scores_gemma":[0.81676424,0.1507651,0.01429722,0.011277473,0.005945095,0.00095091946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04587315,0.0011337672,0.0020089038,0.0025359457,0.0005116233,0.0037173317,0.0016234561,0.0027195015,0.0018616307],"category_scores_gemma":[0.33852705,0.00043982553,0.0021857957,0.003575721,0.002234593,0.0036322018,0.0013259744,0.002350449,0.00080904056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002413772,0.0003716382,0.38844252,0.0011386834,0.006327856,0.00045251165,0.000954582,0.101034224,0.0007454934,0.03665677,0.014389476,0.44707245],"study_design_scores_gemma":[0.0003371016,0.0025029904,0.3553221,0.0023097782,0.002073343,0.0028421625,0.0015298212,0.40127543,0.002802027,0.20333046,0.024879152,0.00079566974],"about_ca_topic_score_codex":0.003939048,"about_ca_topic_score_gemma":0.0014120942,"teacher_disagreement_score":0.04587315,"about_ca_system_score_codex":0.0019445282,"about_ca_system_score_gemma":0.00094148505,"threshold_uncertainty_score":0.2426033},"labels":[],"label_agreement":null},{"id":"W2008594868","doi":"10.1177/0272989x10391671","title":"Overestimation Error and Unnecessary Antibiotic Prescriptions for Acute Cystitis in Adult Women","year":2010,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Urinary Tract Infections Management","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Medical prescription; Medicine; Acute Cystitis; Antibiotics; Intensive care medicine; Urinary system; Internal medicine; Pharmacology","score_opus":0.015230183218209561,"score_gpt":0.35006711350243586,"score_spread":0.3348369302842263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008594868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99846065,0.0006697407,0.00013172001,0.00019700576,0.00000839067,0.000008155257,0.00011549496,0.000004337565,0.0004046147],"genre_scores_gemma":[0.99962926,0.0001404207,0.00008953664,0.000031987867,0.000008862022,0.0000026460252,0.00005279398,0.0000011623989,0.00004340288],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99768734,0.00083553564,0.0003202543,0.00020667729,0.0007594185,0.00019074752],"domain_scores_gemma":[0.9746378,0.008670513,0.013507084,0.000938997,0.0016650662,0.00058052596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022157275,0.00022606204,0.0003268453,0.00059087004,0.00038671834,0.00057613954,0.00036595808,0.0003987555,0.0008935674],"category_scores_gemma":[0.024605602,0.00030193792,0.00033916353,0.00068422675,0.00049875764,0.000369958,0.00049393444,0.00047982362,0.00012598913],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002849561,0.0000059558147,0.99900275,0.000011098768,0.000014446079,0.00003148016,0.00014465897,0.000033252498,0.000019829462,0.0000041568496,0.00003940901,0.00066438655],"study_design_scores_gemma":[0.0000016577825,0.000029680907,0.99915385,0.000017852202,0.000014285835,0.00028035697,0.00015210288,0.00022547605,0.000036255653,0.000010552274,0.00007472917,0.000003260682],"about_ca_topic_score_codex":0.04611097,"about_ca_topic_score_gemma":0.036603525,"teacher_disagreement_score":0.04611097,"about_ca_system_score_codex":0.0010457927,"about_ca_system_score_gemma":0.0011536101,"threshold_uncertainty_score":0.09168512},"labels":[],"label_agreement":null},{"id":"W2008908609","doi":"10.1177/0272989x14536779","title":"A Review and Meta-analysis of Colorectal Cancer Utilities","year":2014,"lang":"en","type":"review","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cancer Care Ontario; University of Toronto; Toronto General Hospital; University of Calgary; St. Michael's Hospital","funders":"Canadian Institutes of Health Research","keywords":"Colorectal cancer; Medicine; Stage (stratigraphy); Disease; Cancer; Meta-analysis; Surgery; Internal medicine","score_opus":0.6537234416413402,"score_gpt":0.5737678733815369,"score_spread":0.07995556825980332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008908609","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021648803,0.9954116,0.0007315699,0.0002347854,0.00014483316,0.00018461006,0.00083063595,0.000025234658,0.0002718516],"genre_scores_gemma":[0.11728194,0.87593687,0.0031528925,0.00076942414,0.00032284122,0.0010383555,0.0012353377,0.000044773424,0.00021762271],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9725478,0.016069656,0.006358058,0.0019008564,0.0026941693,0.00042947702],"domain_scores_gemma":[0.9393701,0.04916399,0.006759482,0.0013632714,0.0030684243,0.00027478722],"candidate_categories":["metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.025728274,0.0034387377,0.017124873,0.013557698,0.0006063516,0.0035879982,0.0020022125,0.0016533958,0.0033128618],"category_scores_gemma":[0.09838484,0.0015131681,0.038055144,0.012841393,0.00068960665,0.0017880312,0.0017399681,0.0018653024,0.00028962054],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001301393,0.000022272672,0.004085803,0.4160185,0.5491803,0.00011491266,0.00006960473,0.001047877,0.00013155931,0.00027977477,0.0012230384,0.026524851],"study_design_scores_gemma":[0.0005129065,0.00023796085,0.005412747,0.06722741,0.92081416,0.00021686015,0.00005701151,0.0003466202,0.00014524811,0.0005830668,0.004405616,0.000040286777],"about_ca_topic_score_codex":0.0067549925,"about_ca_topic_score_gemma":0.011394546,"teacher_disagreement_score":0.9828751,"about_ca_system_score_codex":0.0037366322,"about_ca_system_score_gemma":0.00465585,"threshold_uncertainty_score":0.13606572},"labels":[],"label_agreement":null},{"id":"W2009301569","doi":"10.1177/0272989x11407203","title":"Development and Validation of a Utility Weighting Function for the Patient-Oriented Prostate Utility Scale (PORPUS)","year":2011,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; Cancer Care Ontario; University of Toronto; University Health Network","funders":"","keywords":"Weighting; Scale (ratio); Mean squared error; Function (biology); Statistics; Medicine; Computer science; Mathematics; Artificial intelligence","score_opus":0.30268985099678275,"score_gpt":0.4000088148782638,"score_spread":0.09731896388148104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009301569","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6974218,0.00049851346,0.2924146,0.00036519373,0.00009782836,0.0030181129,0.000955854,0.0004326738,0.004795412],"genre_scores_gemma":[0.8407678,0.00016455294,0.15456353,0.00010157952,0.000020155343,0.0029998187,0.0008533122,0.000065136315,0.0004641679],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99263,0.0052066133,0.0004609831,0.0003893648,0.0011954177,0.00011767451],"domain_scores_gemma":[0.96664244,0.024991458,0.0015858314,0.0011531889,0.005356412,0.00027069694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.023303207,0.00059844315,0.00055456365,0.0013531168,0.00031323545,0.0010955699,0.0008870584,0.0007274807,0.0014871194],"category_scores_gemma":[0.071509205,0.00023797287,0.0009907623,0.0008318365,0.00047893645,0.0008481673,0.00094556634,0.0010875241,0.00040351268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018302945,0.0015778786,0.3371877,0.0004513672,0.0006677846,0.000109208144,0.0013030927,0.047814,0.0041760947,0.0061661256,0.004096023,0.5946204],"study_design_scores_gemma":[0.00050459674,0.0029027653,0.3075823,0.0004035019,0.00026315454,0.0003169641,0.0005022036,0.6700974,0.005310034,0.0053683114,0.0066165845,0.00013216629],"about_ca_topic_score_codex":0.0024235235,"about_ca_topic_score_gemma":0.0016216432,"teacher_disagreement_score":0.023303207,"about_ca_system_score_codex":0.0011274145,"about_ca_system_score_gemma":0.0013450236,"threshold_uncertainty_score":0.12324065},"labels":[],"label_agreement":null},{"id":"W2009416806","doi":"10.1177/0272989x05275156","title":"Medical Decision Making with Incomplete Evidence—Choosing a Platelet Glycoprotein IIbIIIa Receptor Inhibitor for Percutaneous Coronary Interventions","year":2005,"lang":"en","type":"review","venue":"Medical Decision Making","topic":"Acute Myocardial Infarction Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Tirofiban; Abciximab; Medicine; Eptifibatide; Randomized controlled trial; Placebo; Clinical trial; Intensive care medicine; Conventional PCI; Internal medicine; Myocardial infarction; Alternative medicine","score_opus":0.12697254047013057,"score_gpt":0.4655656324144825,"score_spread":0.33859309194435194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009416806","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035807736,0.47280216,0.34370068,0.12582879,0.0047456753,0.006292147,0.003449149,0.00033717824,0.007036539],"genre_scores_gemma":[0.43564376,0.08979676,0.43078724,0.028834905,0.004170971,0.008618904,0.0013217574,0.00013769475,0.0006879481],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.4709569,0.44415,0.04899416,0.012280499,0.02231734,0.0013011331],"domain_scores_gemma":[0.12928842,0.81622833,0.0357105,0.007947361,0.009557265,0.0012681384],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3717202,0.0023385356,0.007833639,0.015257259,0.0021613715,0.011716038,0.0056019425,0.007830868,0.003942462],"category_scores_gemma":[0.6654449,0.002722853,0.009522948,0.012174843,0.0057494286,0.011425742,0.0067210183,0.007182599,0.00045704594],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0053944653,0.00030102488,0.017795864,0.30756372,0.09405648,0.0017285063,0.005623878,0.018183043,0.00091677083,0.07482421,0.020945672,0.45266643],"study_design_scores_gemma":[0.003882949,0.0011743166,0.010245014,0.2262133,0.08382289,0.002527565,0.0021182823,0.040298518,0.0024301235,0.5743484,0.051939934,0.0009988275],"about_ca_topic_score_codex":0.0027763403,"about_ca_topic_score_gemma":0.004697817,"teacher_disagreement_score":0.3717202,"about_ca_system_score_codex":0.00780665,"about_ca_system_score_gemma":0.01999753,"threshold_uncertainty_score":0.77478087},"labels":[],"label_agreement":null},{"id":"W2011300284","doi":"10.1177/0272989x12475092","title":"Predicting the ICECAP-O Capability Index from the WOMAC Osteoarthritis Index","year":2013,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"WOMAC; Osteoarthritis; Physical therapy; Multinomial logistic regression; Psychology; Medicine; Statistics; Physical medicine and rehabilitation; Mathematics","score_opus":0.1530851830635764,"score_gpt":0.3981294862755075,"score_spread":0.24504430321193107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011300284","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952793,0.00013444452,0.0029319979,0.000087832486,0.000009757806,0.000066821085,0.00091291755,0.000016574922,0.0005604335],"genre_scores_gemma":[0.9970579,0.000057864258,0.0016735183,0.0000137681445,0.0000050340864,0.00004138501,0.001044253,0.0000023893751,0.000103923594],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99933344,0.00027625388,0.00006707261,0.00009997431,0.00015311093,0.000070136004],"domain_scores_gemma":[0.9935703,0.0035074174,0.0013684976,0.0003299832,0.00081328006,0.0004105266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030309816,0.0006512884,0.00038125538,0.0014544637,0.00016687381,0.00063590024,0.00036685003,0.00044203174,0.0013438578],"category_scores_gemma":[0.016058752,0.00014536259,0.00076787866,0.000871215,0.00020212887,0.00043391224,0.0007197291,0.0007933858,0.00040808495],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014193328,0.00005922288,0.9892519,0.000022737864,0.000075733486,0.000024785526,0.00003975346,0.0033654787,0.00010124147,0.000056591114,0.00027129715,0.0065893126],"study_design_scores_gemma":[0.000038183243,0.00037247528,0.9404404,0.000048470876,0.000064400716,0.0000974558,0.00021005051,0.057407152,0.00031128834,0.00055808877,0.00043516775,0.00001669635],"about_ca_topic_score_codex":0.00785916,"about_ca_topic_score_gemma":0.007493684,"teacher_disagreement_score":0.00785916,"about_ca_system_score_codex":0.0003569257,"about_ca_system_score_gemma":0.0005812434,"threshold_uncertainty_score":0.016029596},"labels":[],"label_agreement":null},{"id":"W2015076798","doi":"10.1177/0272989x10379919","title":"Determining the Impact of Informed Choice","year":2010,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Randomized controlled trial; Medicine; Confidence interval; Triage; Quality of life (healthcare); Physical therapy; Internal medicine; Emergency medicine; Nursing","score_opus":0.35454481730403103,"score_gpt":0.6550643630870604,"score_spread":0.30051954578302936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015076798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":"methods","domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55755246,0.0508803,0.20094688,0.048289932,0.006905856,0.046917584,0.0048062275,0.000576653,0.08312412],"genre_scores_gemma":[0.9433165,0.0018295203,0.03174787,0.005341609,0.0005401228,0.015852148,0.00028206842,0.000048789858,0.0010414048],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.38192412,0.577469,0.015107489,0.0086098965,0.014169202,0.002720234],"domain_scores_gemma":[0.22228359,0.7323775,0.02603574,0.014926766,0.0028089988,0.0015673978],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.30876607,0.0021139807,0.004769332,0.0020258394,0.0009732192,0.004819371,0.0021443733,0.0062811906,0.015427884],"category_scores_gemma":[0.5687389,0.0013901541,0.008546274,0.0018717243,0.0059400867,0.0070311576,0.004440194,0.0066340324,0.0007499069],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.2913874,0.006866599,0.050798375,0.018491486,0.04879802,0.00074801006,0.0041003,0.047558635,0.0011955801,0.12623034,0.01003161,0.39379364],"study_design_scores_gemma":[0.18777078,0.07476166,0.04300028,0.012022668,0.052328717,0.00093492225,0.0012631427,0.13878554,0.0060613994,0.4436572,0.038734086,0.00067964324],"about_ca_topic_score_codex":0.001068118,"about_ca_topic_score_gemma":0.0005523681,"teacher_disagreement_score":0.30876607,"about_ca_system_score_codex":0.004172152,"about_ca_system_score_gemma":0.0061828997,"threshold_uncertainty_score":0.8524145},"labels":[],"label_agreement":null},{"id":"W2017353404","doi":"10.1177/0272989x14525264","title":"Sample Size and Power When Designing a Randomized Trial for the Estimation of Treatment, Selection, and Preference Effects","year":2014,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Selection (genetic algorithm); Estimation; Preference; Sample size determination; Randomized controlled trial; Statistics; Sample (material); Econometrics; Computer science; Medicine; Psychology; Mathematics; Economics; Artificial intelligence; Internal medicine","score_opus":0.07397537297448394,"score_gpt":0.2725037227193427,"score_spread":0.19852834974485878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017353404","genre_codex":"methods","genre_gemma":"methods","domain_codex":"methods","domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012806339,0.005893065,0.91844296,0.009206124,0.0026172148,0.038367137,0.000765825,0.0004612932,0.011440081],"genre_scores_gemma":[0.13513096,0.0013185024,0.75415987,0.0034255786,0.0007306301,0.10374608,0.00016355775,0.00017632569,0.0011485144],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.33864933,0.6051485,0.021143751,0.00823769,0.025548575,0.0012721743],"domain_scores_gemma":[0.23204161,0.7256967,0.016267367,0.015669515,0.009141534,0.0011832902],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.47595316,0.002434162,0.0063012736,0.0038506198,0.001510699,0.0044891476,0.0036570344,0.008852161,0.0073178303],"category_scores_gemma":[0.7279291,0.0017867754,0.0034730595,0.0032740654,0.005634236,0.0071704634,0.0033545133,0.0068352134,0.0016997689],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.025019225,0.0010312179,0.015017209,0.0126375295,0.004144773,0.0010209271,0.004421496,0.029256023,0.004383234,0.24416219,0.026382687,0.6325235],"study_design_scores_gemma":[0.035612453,0.02134959,0.02502998,0.018238183,0.00559616,0.0019243377,0.0016238675,0.13915733,0.018123008,0.5975594,0.1348572,0.0009285207],"about_ca_topic_score_codex":0.0007569524,"about_ca_topic_score_gemma":0.00072091055,"teacher_disagreement_score":0.47595316,"about_ca_system_score_codex":0.0029682089,"about_ca_system_score_gemma":0.0062099113,"threshold_uncertainty_score":0.6462431},"labels":[],"label_agreement":null},{"id":"W2019342141","doi":"10.1177/0272989x0102100504","title":"The Beguiling Pursuit of More Information","year":2001,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Organ Donation and Transplantation","field":"Medicine","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Salience (neuroscience); Medicine; Veterans Affairs; Decision aids; Cognition; Psychology; Alternative medicine; Psychiatry; Cognitive psychology","score_opus":0.01268041747478935,"score_gpt":0.3320592304837411,"score_spread":0.3193788130089517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019342141","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9671536,0.0014285615,0.0029540851,0.013434071,0.00013297131,0.00013312635,0.000048034755,0.000029970386,0.014685535],"genre_scores_gemma":[0.99565864,0.00032447424,0.0019811261,0.001614046,0.00006930521,0.000044033502,0.000020318123,0.0000051329457,0.00028279208],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.96785283,0.022570036,0.00198714,0.0012264511,0.005349929,0.001013563],"domain_scores_gemma":[0.6455066,0.29354584,0.03914191,0.007989808,0.007425686,0.0063901525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.032418724,0.00030295088,0.00032830183,0.0014092172,0.0013047403,0.0036266223,0.0007328843,0.002984205,0.0051741526],"category_scores_gemma":[0.21859984,0.000347293,0.0006630269,0.0008131864,0.0035032688,0.003676802,0.0025906614,0.002297057,0.0005177478],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005520565,0.0014488772,0.67087644,0.002242314,0.0005187783,0.0016443683,0.04011854,0.0010073064,0.0048499294,0.0140454145,0.0038996746,0.25382793],"study_design_scores_gemma":[0.0015026181,0.00904025,0.78195125,0.00302407,0.0009980446,0.007411792,0.07798092,0.007474246,0.006520642,0.054899093,0.04888402,0.00031309857],"about_ca_topic_score_codex":0.00087311846,"about_ca_topic_score_gemma":0.00066043925,"teacher_disagreement_score":0.032418724,"about_ca_system_score_codex":0.0016787995,"about_ca_system_score_gemma":0.0023661093,"threshold_uncertainty_score":0.17144865},"labels":[],"label_agreement":null},{"id":"W2021478579","doi":"10.1177/0272989x13509406","title":"Appropriate Evidence Sources for Populating Decision Analytic Models within Health Technology Assessment (HTA)","year":2013,"lang":"en","type":"review","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Usability; Computer science; Identification (biology); German; Data science; Variety (cybernetics); Health technology; Resource (disambiguation); Management science; Health care; Political science; Engineering","score_opus":0.6830636891595988,"score_gpt":0.5905819930201459,"score_spread":0.0924816961394529,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021478579","genre_codex":"methods","genre_gemma":"review","domain_codex":"methods","domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":"methods","domain_consensus":"methods","prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00913975,0.17030784,0.5719543,0.11125729,0.0044440073,0.05316832,0.018882727,0.0018067932,0.059038967],"genre_scores_gemma":[0.048345488,0.054078456,0.8350694,0.008684983,0.0006775615,0.04608435,0.005250292,0.00048694876,0.0013225675],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.31879482,0.47306234,0.1510512,0.0065246243,0.04833236,0.0022346796],"domain_scores_gemma":[0.09958291,0.7792118,0.03672549,0.03524311,0.047761235,0.0014754827],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.50093555,0.0034700755,0.0063378797,0.042062648,0.004342419,0.024377346,0.008337978,0.009742809,0.010458886],"category_scores_gemma":[0.7711479,0.0037213287,0.009709526,0.032630354,0.006272898,0.021713955,0.013711444,0.009644968,0.004075395],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057649857,0.0003005793,0.0033221126,0.2094732,0.0020450903,0.0008568127,0.020934436,0.0051447186,0.0006525079,0.15343541,0.06556852,0.5376901],"study_design_scores_gemma":[0.00059205515,0.00022636229,0.001702023,0.5783135,0.0023232454,0.0003590446,0.0067178044,0.0037605902,0.0016793278,0.159412,0.24453041,0.00038364585],"about_ca_topic_score_codex":0.0071769906,"about_ca_topic_score_gemma":0.009231495,"teacher_disagreement_score":0.49906445,"about_ca_system_score_codex":0.019737378,"about_ca_system_score_gemma":0.06144371,"threshold_uncertainty_score":0.61543536},"labels":[],"label_agreement":null},{"id":"W2021708092","doi":"10.1177/0272989x06297103","title":"Measuring Health Preferences for Health Utilities Index Mark 3 Health States: A Study of Feasibility and Preference Differences among Ethnic Groups in Singapore","year":2007,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Health Economics","funders":"","keywords":"Ethnic group; Preference; Index (typography); Health Utilities Index; Psychology; Environmental health; Medicine; Actuarial science; Demography; MEDLINE; Economics; Statistics; Political science; Computer science; Sociology; Mathematics","score_opus":0.6418340745295452,"score_gpt":0.5040753170029215,"score_spread":0.1377587575266237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021708092","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992254,0.000053194417,0.00025069018,0.000038541715,0.000002632866,0.00004034356,0.00008488972,0.0000014289099,0.00030294483],"genre_scores_gemma":[0.99926776,0.000054735712,0.00041517,0.00002972531,0.0000031068114,0.000056462115,0.0001077381,9.37611e-7,0.00006437233],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969388,0.0020473907,0.00032452014,0.00012560202,0.00043129362,0.00013240332],"domain_scores_gemma":[0.9950265,0.002329138,0.0014375565,0.00033053145,0.0005425315,0.00033379067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008189169,0.0002884546,0.00031803927,0.0004610146,0.00026694476,0.0004980785,0.00024261422,0.0002623346,0.001226348],"category_scores_gemma":[0.010976233,0.00018737334,0.0007789625,0.0005985059,0.00039023464,0.00044612633,0.00059857575,0.00048230833,0.00022820751],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005813284,0.00022639024,0.980378,0.000102318736,0.00016783399,0.00009409706,0.0029150064,0.00017165355,0.0007828387,0.00006546257,0.00022207266,0.014293036],"study_design_scores_gemma":[0.00006441069,0.00177462,0.99266714,0.000043381217,0.00006260677,0.00024345555,0.0026482039,0.0014133435,0.0004633273,0.00007453687,0.00052279397,0.00002215307],"about_ca_topic_score_codex":0.0031467539,"about_ca_topic_score_gemma":0.0035131674,"teacher_disagreement_score":0.008189169,"about_ca_system_score_codex":0.00038130465,"about_ca_system_score_gemma":0.00045065163,"threshold_uncertainty_score":0.043308973},"labels":[],"label_agreement":null},{"id":"W2022284177","doi":"10.1177/0272989x06288684","title":"Implications of Cancer Staging Uncertainties in Radiation Therapy Decisions","year":2006,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Cancer Foundation; University of Calgary","funders":"","keywords":"Breast cancer; Radiation therapy; Medicine; Medical physics; Cancer; Intensive care medicine; Value of information; Computer science; Surgery; Artificial intelligence; Internal medicine","score_opus":0.429800335296527,"score_gpt":0.6046876730360619,"score_spread":0.17488733773953485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022284177","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4410125,0.011577569,0.48631305,0.024773635,0.00083451276,0.0013999316,0.0016018741,0.00029232923,0.032194745],"genre_scores_gemma":[0.97837263,0.00086950645,0.019558132,0.0005115634,0.00015073796,0.00015516038,0.000108694934,0.000016169346,0.00025752722],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.85325253,0.12537684,0.0037089987,0.0031834294,0.013147669,0.0013305655],"domain_scores_gemma":[0.16673455,0.805036,0.017250074,0.0045560505,0.005725106,0.00069820805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09259174,0.001246784,0.0016171363,0.004225259,0.001114942,0.004061993,0.0014658615,0.0023030764,0.0046371734],"category_scores_gemma":[0.5229537,0.0007919533,0.0021699641,0.0031933573,0.0038370155,0.004241432,0.0026098585,0.0026641604,0.0002481241],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023529131,0.00021803756,0.07637768,0.0015361331,0.0017253809,0.0007992,0.0012352945,0.6795829,0.00043586077,0.1147599,0.003237725,0.11773906],"study_design_scores_gemma":[0.00032960865,0.0006395391,0.021588339,0.0011812703,0.0010371977,0.0008004363,0.0007049413,0.53141385,0.0022068194,0.43568316,0.004225703,0.00018917302],"about_ca_topic_score_codex":0.0030555136,"about_ca_topic_score_gemma":0.0017468061,"teacher_disagreement_score":0.09259174,"about_ca_system_score_codex":0.0049682828,"about_ca_system_score_gemma":0.003525656,"threshold_uncertainty_score":0.4896778},"labels":[],"label_agreement":null},{"id":"W2022286039","doi":"10.1177/0272989x10364849","title":"Treatment Evolution and New Standards of Care","year":2010,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Pipeline (software); Probabilistic logic; Sensitivity (control systems); Markov model; Computer science; Econometrics; Markov chain; Risk analysis (engineering); Medicine; Machine learning; Mathematics; Artificial intelligence; Engineering","score_opus":0.22178154802326572,"score_gpt":0.4751929208879055,"score_spread":0.2534113728646398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022286039","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13687499,0.022012789,0.63977695,0.08923064,0.0011980935,0.000899911,0.0008828932,0.00032809016,0.108795755],"genre_scores_gemma":[0.94374496,0.00271553,0.048031505,0.0026708418,0.00046235867,0.00032649693,0.00019531716,0.000042177704,0.0018106909],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.95900273,0.026976643,0.0016510066,0.0027681005,0.0080680065,0.0015334577],"domain_scores_gemma":[0.9076115,0.07519279,0.007743155,0.004046111,0.0039668833,0.0014396306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04252167,0.0006897341,0.0009972436,0.0019161042,0.0007284876,0.004911545,0.0025072943,0.0043491223,0.007207143],"category_scores_gemma":[0.10573095,0.00046739195,0.0021910956,0.0013878716,0.004174821,0.006910292,0.0028462356,0.0053179325,0.0003304046],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024143963,0.00011401942,0.004885753,0.00035861295,0.00028823852,0.00010251149,0.00028870348,0.08269687,0.0002050706,0.85502714,0.0026042382,0.053187314],"study_design_scores_gemma":[0.00016158838,0.00027001105,0.0034401566,0.000368622,0.00012660015,0.00026485242,0.0001392417,0.08966419,0.00040712557,0.8948833,0.010214235,0.000060096914],"about_ca_topic_score_codex":0.0023091072,"about_ca_topic_score_gemma":0.0010404132,"teacher_disagreement_score":0.04252167,"about_ca_system_score_codex":0.011693577,"about_ca_system_score_gemma":0.0050876993,"threshold_uncertainty_score":0.22487879},"labels":[],"label_agreement":null},{"id":"W2028788852","doi":"10.1177/0272989x12453499","title":"Prediction of Health Preference Values from CD4 Counts in Individuals with HIV","year":2012,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario HIV Treatment Network; Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"Ontario HIV Treatment Network","keywords":"Akaike information criterion; Statistics; Medicine; Cohort; Preference; Regression analysis; Demography; Stepwise regression; Regression; Linear regression; Mathematics","score_opus":0.45235024493847775,"score_gpt":0.4467406981218301,"score_spread":0.005609546816647659,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028788852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955254,0.00020692467,0.002370854,0.00024212833,0.000009566155,0.000049887916,0.0008676036,0.00002458999,0.00070301763],"genre_scores_gemma":[0.9977368,0.000087561835,0.0012725571,0.000031788073,0.0000045606293,0.000025850099,0.00063330424,0.0000031303614,0.00020444326],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993734,0.00036510223,0.000023686744,0.000086127366,0.00008168206,0.00006992643],"domain_scores_gemma":[0.9957593,0.0031720381,0.000378348,0.00021163472,0.00029482355,0.00018390143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032130552,0.00047582437,0.00032061693,0.00053503545,0.00027250202,0.00068174524,0.0005436808,0.00042884672,0.0017084976],"category_scores_gemma":[0.013039336,0.0002661988,0.0006505012,0.0005754212,0.0002628526,0.00029237906,0.00040840774,0.00087362865,0.00027009597],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066167855,0.0001209298,0.96451735,0.000040512783,0.00015097667,0.000060966187,0.00015857963,0.012127617,0.00009302761,0.00016421203,0.0010051094,0.020898962],"study_design_scores_gemma":[0.00012313879,0.00037887917,0.680257,0.00010778496,0.00018991994,0.00015790493,0.00040859307,0.31558543,0.00030039225,0.0017343052,0.00073101453,0.000025481526],"about_ca_topic_score_codex":0.069172576,"about_ca_topic_score_gemma":0.04817634,"teacher_disagreement_score":0.069172576,"about_ca_system_score_codex":0.0010284999,"about_ca_system_score_gemma":0.0013385345,"threshold_uncertainty_score":0.13753986},"labels":[],"label_agreement":null},{"id":"W2031455043","doi":"10.1177/0272989x11409240","title":"Accounting for Methodological, Structural, and Parameter Uncertainty in Decision-Analytic Models","year":2011,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":139,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Centre hospitalier universitaire de Québec","funders":"","keywords":"Econometrics; Management science; Computer science; Accounting; Economics","score_opus":0.6928345373661658,"score_gpt":0.5235144714335428,"score_spread":0.16932006593262305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031455043","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002272798,0.0050221197,0.9785943,0.0069686244,0.00032223755,0.0011647712,0.00030735548,0.0003915739,0.0049562454],"genre_scores_gemma":[0.039774522,0.0042965477,0.9515733,0.0009005405,0.00024141463,0.001871661,0.00030683106,0.0001525343,0.000882664],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.7713067,0.18604338,0.014205781,0.0025873086,0.024662668,0.0011942567],"domain_scores_gemma":[0.42234105,0.53328764,0.014873246,0.012052442,0.016562086,0.0008835032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.13015887,0.003851375,0.0021390733,0.007138036,0.0021622202,0.008819442,0.004803822,0.0042647016,0.0045488877],"category_scores_gemma":[0.31374347,0.0018228717,0.0041474705,0.0073902886,0.005477908,0.008193496,0.006017943,0.008109947,0.001315518],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024543962,0.0002530084,0.0063596535,0.006393566,0.0006763576,0.0003966835,0.0034574512,0.16574726,0.00071952865,0.31973717,0.03050687,0.4655071],"study_design_scores_gemma":[0.00013597909,0.00029514745,0.0012012182,0.010609882,0.0004460769,0.00058304536,0.0007959867,0.17281857,0.00287524,0.72709316,0.082781345,0.00036437888],"about_ca_topic_score_codex":0.0035434798,"about_ca_topic_score_gemma":0.00642708,"teacher_disagreement_score":0.13015887,"about_ca_system_score_codex":0.004947744,"about_ca_system_score_gemma":0.012237701,"threshold_uncertainty_score":0.68835413},"labels":[],"label_agreement":null},{"id":"W2031805757","doi":"10.1177/0272989x10369006","title":"Effect of Arrangement of Stick Figures on Estimates of Proportion in Risk Graphics","year":2010,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Safety Warnings and Signage","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"U.S. National Library of Medicine; Agency for Healthcare Research and Quality","keywords":"Graphics; Quarter (Canadian coin); Mathematics; Statistics; Numeracy; Psychology; Computer science; Geography; Computer graphics (images)","score_opus":0.011112921160223874,"score_gpt":0.36801611053538547,"score_spread":0.3569031893751616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031805757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.973663,0.0007892564,0.015520267,0.00055080536,0.0001995001,0.0009833495,0.00033054798,0.000569749,0.007393534],"genre_scores_gemma":[0.9627628,0.00024012607,0.034989487,0.0001766738,0.00007002076,0.0007503192,0.00019618601,0.000076319804,0.000738057],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9784975,0.015600379,0.0017304743,0.0013280894,0.0023747524,0.00046879647],"domain_scores_gemma":[0.6498795,0.30795786,0.023046467,0.0106613105,0.005982267,0.002472467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014566814,0.00094412913,0.000561828,0.00088149146,0.00047662988,0.0015508869,0.00092137174,0.0011417179,0.00973798],"category_scores_gemma":[0.17986168,0.00078221725,0.0012229163,0.0005983724,0.0009441854,0.001989576,0.0015116386,0.0009809952,0.00087902596],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.096293956,0.005994247,0.40775713,0.004389141,0.0012068402,0.0006733689,0.010310131,0.019317288,0.052089337,0.0017122298,0.005607695,0.39464864],"study_design_scores_gemma":[0.00428048,0.052211326,0.8654246,0.0022659984,0.0019915623,0.0009924013,0.005626072,0.028249297,0.020708328,0.0039353874,0.013771128,0.0005434992],"about_ca_topic_score_codex":0.0012037731,"about_ca_topic_score_gemma":0.0013170042,"teacher_disagreement_score":0.014566814,"about_ca_system_score_codex":0.0007901155,"about_ca_system_score_gemma":0.00049914094,"threshold_uncertainty_score":0.07703757},"labels":[],"label_agreement":null},{"id":"W2032181056","doi":"10.1177/0272989x09344747","title":"Measuring Acceptability of Clinical Decision Rules: Validation of the Ottawa Acceptability of Decision Rules Instrument (OADRI) in Four Countries","year":2009,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Clinical Reasoning and Diagnostic Skills","field":"Medicine","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Medical Council of Canada; Ottawa Hospital; Canadian Institutes of Health Research; University of Ottawa","funders":"","keywords":"Decision aids; Clinical decision making; Decision rule; Decision analysis; Management science; Medicine; Computer science; Family medicine; Artificial intelligence; Alternative medicine; Engineering; Statistics; Mathematics; Pathology","score_opus":0.06783647977659336,"score_gpt":0.4054685763401585,"score_spread":0.33763209656356513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032181056","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9772537,0.000629364,0.0050820024,0.0008905868,0.00007932908,0.004635338,0.001885366,0.00008409441,0.009460171],"genre_scores_gemma":[0.9817293,0.00033444093,0.013669298,0.00030551868,0.000020920887,0.0022960026,0.0012721171,0.00001875928,0.00035367944],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.93420136,0.030630894,0.016668493,0.0032978398,0.012790235,0.0024111385],"domain_scores_gemma":[0.7449222,0.14988764,0.037610464,0.011028571,0.04903305,0.007518078],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.06979789,0.0005912627,0.0011190424,0.004020152,0.0016537193,0.0033302356,0.0018032042,0.0013225967,0.0014016752],"category_scores_gemma":[0.17810804,0.00065338763,0.00214912,0.0031548715,0.0028139239,0.0019455216,0.0040170373,0.0020629389,0.00025276036],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00074705674,0.00083903293,0.9330097,0.00044739715,0.0003480799,0.00011557732,0.008427552,0.0022759447,0.00024526965,0.0008531492,0.0028000593,0.049891323],"study_design_scores_gemma":[0.00043017394,0.0015863791,0.9697556,0.0006282682,0.00020326859,0.00029962236,0.009437037,0.006571125,0.0011349814,0.0010907439,0.008657278,0.00020550349],"about_ca_topic_score_codex":0.039926182,"about_ca_topic_score_gemma":0.039249767,"teacher_disagreement_score":0.9302021,"about_ca_system_score_codex":0.008156553,"about_ca_system_score_gemma":0.016589023,"threshold_uncertainty_score":0.3691309},"labels":[],"label_agreement":null},{"id":"W2032651512","doi":"10.1177/0272989x02238299","title":"The Relationship between Risk Attitude and Treatment Choice in Patients with Relapsing-Remitting Multiple Sclerosis","year":2002,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Multiple Sclerosis Society","keywords":"Medicine; Relapsing remitting; Glatiramer acetate; Multinomial logistic regression; Logistic regression; Multiple sclerosis; Risk factor; Preference; Socioeconomic status; Ordinal regression; Internal medicine; Physical therapy; Psychiatry; Environmental health","score_opus":0.13167752041814887,"score_gpt":0.34605075282160136,"score_spread":0.2143732324034525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032651512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994553,0.00013723818,0.000031911735,0.00013826971,0.000002227483,0.0000029622477,0.0000139600725,6.9406065e-7,0.00021741286],"genre_scores_gemma":[0.99977905,0.000054388143,0.00005779349,0.000037917842,0.000004923961,0.0000028093314,0.000018004746,3.3283033e-7,0.00004475733],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982912,0.0011362932,0.00015540628,0.00006548475,0.00024665703,0.00010493095],"domain_scores_gemma":[0.9813291,0.010273907,0.0065168333,0.0002665489,0.0005132889,0.0011003797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021507547,0.0001601202,0.0002679236,0.00060837186,0.0004357134,0.00062737253,0.0001499749,0.0005811739,0.0025807668],"category_scores_gemma":[0.020172916,0.00014465449,0.00034792017,0.00049241626,0.00040719952,0.0004439758,0.00035891723,0.0008646214,0.00020165608],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034111858,0.00017627071,0.995886,0.000015444502,0.00007218616,0.000048412905,0.00023156231,0.00006891434,0.000052466432,0.000033939516,0.00006786094,0.003005738],"study_design_scores_gemma":[0.000056583976,0.0006289022,0.995572,0.000030373996,0.000078718884,0.0006749176,0.0009090266,0.0013285524,0.00011420112,0.00032273078,0.00026818804,0.000015805728],"about_ca_topic_score_codex":0.0009144542,"about_ca_topic_score_gemma":0.0011226395,"teacher_disagreement_score":0.0025807668,"about_ca_system_score_codex":0.00024131675,"about_ca_system_score_gemma":0.00030978303,"threshold_uncertainty_score":0.011374414},"labels":[],"label_agreement":null},{"id":"W2033279830","doi":"10.1177/0272989x13501558","title":"The Half-Cycle Correction Revisited","year":2013,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Discounting; Life expectancy; Computer science; Econometrics; Statistics; Mathematics; Medicine; Population; Economics","score_opus":0.19682844679071176,"score_gpt":0.43982383129914304,"score_spread":0.24299538450843128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033279830","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014545472,0.0013959846,0.9684899,0.0036471013,0.0014535211,0.0001761615,0.0002902283,0.0008247793,0.009176781],"genre_scores_gemma":[0.51572347,0.0015743711,0.45894736,0.004669134,0.0006980253,0.00066016306,0.00043527837,0.0011347841,0.01615738],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99044436,0.004902554,0.00045974553,0.0010934457,0.0027456915,0.0003541475],"domain_scores_gemma":[0.945246,0.040599775,0.0024794412,0.006234332,0.004931374,0.0005091021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011427579,0.0005792014,0.0008956391,0.0011781153,0.0007968006,0.0017791544,0.0027739068,0.0015544306,0.008909985],"category_scores_gemma":[0.1125839,0.0005118201,0.001269526,0.001986994,0.0017563016,0.0032622262,0.0013719413,0.003730182,0.0010870306],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050727715,0.00008266368,0.00791591,0.0004240297,0.00019439655,0.00032248575,0.00066971546,0.096739985,0.000759476,0.4178561,0.02768477,0.44684315],"study_design_scores_gemma":[0.00016238526,0.00021000163,0.003128523,0.0003123337,0.000106544845,0.00054819614,0.00013909525,0.5381962,0.002736931,0.38757217,0.06676324,0.00012424843],"about_ca_topic_score_codex":0.010122133,"about_ca_topic_score_gemma":0.007915039,"teacher_disagreement_score":0.011427579,"about_ca_system_score_codex":0.0019630138,"about_ca_system_score_gemma":0.0048865043,"threshold_uncertainty_score":0.060435534},"labels":[],"label_agreement":null},{"id":"W2035994379","doi":"10.1177/0272989x06290494","title":"Context Changes Choices: A Prospective Study of the Effects of Hospitalization on Life-Sustaining Treatment Preferences","year":2006,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Palliative Care and End-of-Life Issues","field":"Medicine","cited_by":150,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Agency for Healthcare Research and Quality","keywords":"Context (archaeology); Prospective cohort study; Medicine; Psychology; Intensive care medicine; Internal medicine","score_opus":0.06572774310177203,"score_gpt":0.4063462662940456,"score_spread":0.34061852319227354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035994379","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995245,0.000076975026,0.000034754077,0.00003656814,0.000003018434,0.00001174239,0.00007529258,7.5785175e-7,0.00023642712],"genre_scores_gemma":[0.9995995,0.00003751251,0.00006337276,0.00004057652,0.0000027628366,0.000012973921,0.00008763325,8.543317e-7,0.0001549263],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998755,0.0006574056,0.00008214608,0.00013318744,0.00014312478,0.00022921979],"domain_scores_gemma":[0.9958365,0.0011315291,0.0016897804,0.0002866998,0.00021728259,0.0008382976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019230995,0.00024936325,0.0002805074,0.00041137997,0.0012915517,0.0011827237,0.00034880638,0.00076378963,0.0021590823],"category_scores_gemma":[0.005970061,0.0005674033,0.0005486986,0.0004961544,0.00048163984,0.00088852725,0.00085731235,0.0017554992,0.0003018271],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003309821,0.00079130457,0.9945832,0.000014311516,0.00005241039,0.00009101912,0.0020434374,0.000035634726,0.00011444065,0.0000538054,0.00014121256,0.001748218],"study_design_scores_gemma":[0.000022634265,0.0008621255,0.9940661,0.000016023821,0.000022151036,0.00021677409,0.004089281,0.00017269325,0.00006913988,0.000056571447,0.00039282584,0.0000136994195],"about_ca_topic_score_codex":0.0069396244,"about_ca_topic_score_gemma":0.009419007,"teacher_disagreement_score":0.0069396244,"about_ca_system_score_codex":0.00048848765,"about_ca_system_score_gemma":0.0006243771,"threshold_uncertainty_score":0.013798475},"labels":[],"label_agreement":null},{"id":"W2036478249","doi":"10.1177/0272989x13517750","title":"Underestimation of Uncertainties in Health Utilities Derived from Mapping Algorithms Involving Health-Related Quality-of-Life Measures","year":2014,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; McMaster University; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Estimator; Variance (accounting); Ordinary least squares; Statistics; Nonparametric statistics; Mean squared error; Parametric statistics; Minimum-variance unbiased estimator; Mathematics; Regression; Computer science; Algorithm; Econometrics","score_opus":0.46667541207976365,"score_gpt":0.46527452999341246,"score_spread":0.0014008820863511962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036478249","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42649546,0.0033009846,0.5626599,0.0014410466,0.0002026983,0.0003664607,0.0014570177,0.0008216468,0.0032547768],"genre_scores_gemma":[0.9279675,0.00041414026,0.06861444,0.00067813526,0.00008117111,0.00024778288,0.0016391395,0.00009674137,0.0002609159],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.96633506,0.024559222,0.0018172052,0.0027859656,0.004119291,0.00038324107],"domain_scores_gemma":[0.7391316,0.22249325,0.013507052,0.016176732,0.008349192,0.00034220633],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04984282,0.001222823,0.000836376,0.0016391901,0.0005444553,0.0024131266,0.0012127403,0.0011961523,0.0007313919],"category_scores_gemma":[0.23511113,0.0005769823,0.001381166,0.0019741002,0.0009963072,0.0024892122,0.0025049937,0.0017037701,0.00024259016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001432223,0.00032973284,0.3758598,0.0014885607,0.002558275,0.00043601508,0.0016045447,0.30687773,0.004713411,0.014435079,0.0043991515,0.2858655],"study_design_scores_gemma":[0.00023615306,0.00072172127,0.33770457,0.0008818275,0.00066949637,0.001552941,0.000733677,0.58102244,0.016030062,0.05248155,0.0076948805,0.0002707384],"about_ca_topic_score_codex":0.0024715764,"about_ca_topic_score_gemma":0.0018810297,"teacher_disagreement_score":0.95015717,"about_ca_system_score_codex":0.0011969865,"about_ca_system_score_gemma":0.001166154,"threshold_uncertainty_score":0.2635972},"labels":[],"label_agreement":null},{"id":"W2038410295","doi":"10.1177/0272989x14564433","title":"The Neglected Topic","year":2015,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ottawa Hospital Research Institute","keywords":"Decision aids; Decision analysis; Optimal decision; Decision support system; Cost–benefit analysis; Presentation (obstetrics); Cost effectiveness; Medicine; Actuarial science; Computer science; Operations management; Risk analysis (engineering); Decision tree; Business; Economics; Surgery; Alternative medicine; Artificial intelligence; Pathology","score_opus":0.3343279648802716,"score_gpt":0.5118711489690768,"score_spread":0.1775431840888052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038410295","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019579716,0.12276431,0.0010867023,0.62265235,0.13659531,0.00008938845,0.0007581754,0.00017314017,0.11392262],"genre_scores_gemma":[0.050891917,0.16097091,0.001786352,0.44847432,0.19664545,0.00032016105,0.0017319293,0.00044037643,0.1387386],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99430346,0.0021018167,0.0005960445,0.0008170313,0.0014080288,0.0007736353],"domain_scores_gemma":[0.978581,0.007977059,0.001908272,0.0013847154,0.004491733,0.005657238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00460559,0.00064382615,0.00095075724,0.002730815,0.0033127186,0.008835675,0.0022228612,0.006655479,0.10632722],"category_scores_gemma":[0.041893862,0.00028859597,0.0007857985,0.002913573,0.004759808,0.010046994,0.0062080957,0.008288478,0.030562168],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035845347,0.000034971476,0.000695787,0.0011163807,0.000013679623,0.00076941727,0.00074596633,0.000028600596,0.000090627735,0.021566963,0.86307967,0.11182213],"study_design_scores_gemma":[0.000009235019,0.0000121201965,0.00041591248,0.0022590656,0.000010408939,0.0013688505,0.001109055,0.000022916323,0.000038849634,0.007445566,0.98729974,0.000008264712],"about_ca_topic_score_codex":0.0032903466,"about_ca_topic_score_gemma":0.0033661488,"teacher_disagreement_score":0.10632722,"about_ca_system_score_codex":0.0052566566,"about_ca_system_score_gemma":0.011295228,"threshold_uncertainty_score":0.35570002},"labels":[],"label_agreement":null},{"id":"W2041968597","doi":"10.1177/0272989x0002000404","title":"Decision Analysis with Cumulative Prospect Theory","year":2000,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Michael's Hospital","funders":"","keywords":"Cumulative prospect theory; Weighting; Prospect theory; Decision analysis; Markov chain; Expected utility hypothesis; Decision theory; Sensitivity (control systems); Statistics; Econometrics; Markov model; Mathematics; Markov process; Economics; Medicine","score_opus":0.19018345995470579,"score_gpt":0.45814137937153054,"score_spread":0.2679579194168248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041968597","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016314887,0.0015997168,0.9731252,0.0011266819,0.00014805223,0.0005524402,0.00017479855,0.00013348847,0.0068247067],"genre_scores_gemma":[0.61106086,0.0026862018,0.3805795,0.0005213296,0.00031580293,0.0024129625,0.00030697187,0.00005009952,0.002066308],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.95960414,0.03597243,0.0008153487,0.0010717419,0.002016202,0.0005201306],"domain_scores_gemma":[0.8602787,0.13138504,0.0031224869,0.0021249135,0.0024509977,0.0006378918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.036949903,0.0020169846,0.002025179,0.003904512,0.0007404192,0.0037275886,0.0016719367,0.0017453175,0.0071550747],"category_scores_gemma":[0.076458305,0.00090331817,0.0025653949,0.003173749,0.0029816623,0.0035951447,0.0027244203,0.0040407516,0.0005393251],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033267998,0.00022725156,0.0044405456,0.00075006706,0.00083195587,0.00028912644,0.0005237109,0.5669945,0.00021643854,0.34634876,0.0027495904,0.07629536],"study_design_scores_gemma":[0.000100439465,0.00018082104,0.00070183777,0.00014887501,0.00011102981,0.000090834386,0.00009827779,0.49548802,0.00015563611,0.50041586,0.0024538974,0.0000544036],"about_ca_topic_score_codex":0.0023603635,"about_ca_topic_score_gemma":0.0016016755,"teacher_disagreement_score":0.036949903,"about_ca_system_score_codex":0.0036762306,"about_ca_system_score_gemma":0.0028421313,"threshold_uncertainty_score":0.1954121},"labels":[],"label_agreement":null},{"id":"W2049624880","doi":"10.1177/0272989x04271535","title":"Neonatal Circumcision: Cost-Effective Preventive Measure or “the Unkindest Cut of All”?","year":2004,"lang":"en","type":"letter","venue":"Medical Decision Making","topic":"Genital Health and Disease","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Agency for Healthcare Research and Quality; U.S. Department of Health and Human Services","keywords":"Measure (data warehouse); Medicine; Obstetrics; Computer science; Data mining","score_opus":0.040423483369984047,"score_gpt":0.3758652697726055,"score_spread":0.33544178640262146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049624880","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006548412,0.081515744,0.00070278964,0.7992076,0.11148362,0.000033125456,0.00009089641,0.00003249141,0.006278812],"genre_scores_gemma":[0.020410903,0.1755621,0.0026681814,0.4455581,0.34747833,0.00008756392,0.00013726573,0.00009484085,0.0080026975],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99574536,0.002074601,0.00045751146,0.00036774593,0.0010418451,0.00031297468],"domain_scores_gemma":[0.95201373,0.034967177,0.0030842416,0.0014703474,0.006618404,0.0018459974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009431388,0.00074344064,0.0020776333,0.0012065346,0.0012374817,0.0048467205,0.0017665683,0.008569133,0.013963383],"category_scores_gemma":[0.071044385,0.00036531672,0.0011572179,0.0012852283,0.004395741,0.006614296,0.0011440025,0.011190139,0.0024268576],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002653646,0.000044846136,0.00075027015,0.0014190155,0.00014755742,0.0002509639,0.00013098883,0.00020779602,0.00015809538,0.026965162,0.8083901,0.16126987],"study_design_scores_gemma":[0.00010751099,0.00017532679,0.0014019817,0.005935507,0.00022164249,0.0008662341,0.00054487557,0.00058455975,0.0002089903,0.028297761,0.96153575,0.00011985359],"about_ca_topic_score_codex":0.003424401,"about_ca_topic_score_gemma":0.0054706056,"teacher_disagreement_score":0.013963383,"about_ca_system_score_codex":0.0023974937,"about_ca_system_score_gemma":0.005001971,"threshold_uncertainty_score":0.049878538},"labels":[],"label_agreement":null},{"id":"W2050780994","doi":"10.1177/0272989x06290492","title":"Impact of the Ottawa Decision Support Framework on the Agreement and the Difference between Patients' and Physicians' Decisional Conflict","year":2006,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":182,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa; Hôpital Saint-François d'Assise","funders":"","keywords":"Intraclass correlation; Confidence interval; Medicine; Health care; Family medicine; Psychology; Clinical psychology; Internal medicine; Psychometrics","score_opus":0.09306166675939855,"score_gpt":0.4320147542665299,"score_spread":0.3389530875071314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050780994","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9811384,0.0015286438,0.002690091,0.00556628,0.00018358939,0.0005807258,0.00064831227,0.000069084716,0.0075948485],"genre_scores_gemma":[0.9948206,0.0001568458,0.0041533792,0.00016894487,0.000019902158,0.00024847433,0.00018891737,0.000005799071,0.0002372148],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.92571723,0.056480203,0.0046566315,0.0014515243,0.009439492,0.00225492],"domain_scores_gemma":[0.78074336,0.16009122,0.025016328,0.0044211578,0.013500412,0.016227478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.038554303,0.0003686608,0.0007124467,0.0012529697,0.0015392187,0.003210947,0.0011031248,0.00067474716,0.0023825036],"category_scores_gemma":[0.19150871,0.00040383136,0.0014771417,0.001505041,0.0015939956,0.0014674175,0.0023354369,0.0021240371,0.00017804603],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007559845,0.001205951,0.80470234,0.0005484874,0.0008688877,0.00016787754,0.0066102603,0.010082673,0.00018921841,0.0024421068,0.0076127136,0.15800962],"study_design_scores_gemma":[0.0017692756,0.0067258156,0.92868906,0.00109343,0.00067349296,0.00034589024,0.01050758,0.0321874,0.0011242297,0.0048171594,0.011479644,0.0005870065],"about_ca_topic_score_codex":0.06802941,"about_ca_topic_score_gemma":0.09833086,"teacher_disagreement_score":0.06802941,"about_ca_system_score_codex":0.010079681,"about_ca_system_score_gemma":0.024318527,"threshold_uncertainty_score":0.20389706},"labels":[],"label_agreement":null},{"id":"W2051488971","doi":"10.1177/0272989x13480852","title":"Comparing EQ-5D Valuation Studies","year":2013,"lang":"en","type":"review","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":109,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; St. Joseph’s Healthcare Hamilton","funders":"","keywords":"Valuation (finance); Checklist; Respondent; EQ-5D; Medicine; Population; MEDLINE; Cochrane Library; Data extraction; Systematic review; Health care; Economic evaluation; Actuarial science; Meta-analysis; Psychology; Environmental health; Economics; Disease; Health related quality of life; Finance; Political science","score_opus":0.8894377924039364,"score_gpt":0.5889339519329109,"score_spread":0.3005038404710255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051488971","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015287331,0.95284,0.016475344,0.002352635,0.0010114262,0.0040352414,0.0032884667,0.000048067304,0.0046615433],"genre_scores_gemma":[0.32973114,0.59408283,0.045767494,0.0033555082,0.0014127265,0.020348277,0.004659053,0.00012359898,0.00051941373],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.7237556,0.18909663,0.06279368,0.005782175,0.017381255,0.0011907923],"domain_scores_gemma":[0.44131902,0.5039041,0.03172462,0.008126296,0.014418596,0.0005073281],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2040803,0.0026733773,0.009889282,0.02241918,0.00064153655,0.0081126895,0.0047021937,0.0026415787,0.0076643876],"category_scores_gemma":[0.47977814,0.0013906176,0.021301802,0.020622684,0.0019863907,0.005063896,0.0038753226,0.002545633,0.0005007154],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032783304,0.00014238985,0.017207827,0.6352457,0.16182184,0.00036550642,0.0008531476,0.003259562,0.00023725805,0.009189475,0.0027707173,0.16562825],"study_design_scores_gemma":[0.004566894,0.0037793801,0.03633998,0.60742867,0.26652306,0.0013354116,0.0027020352,0.0039343885,0.0012586158,0.032406025,0.039323576,0.00040194797],"about_ca_topic_score_codex":0.0019628298,"about_ca_topic_score_gemma":0.002187936,"teacher_disagreement_score":0.7959197,"about_ca_system_score_codex":0.005453145,"about_ca_system_score_gemma":0.005296373,"threshold_uncertainty_score":0.9815107},"labels":[],"label_agreement":null},{"id":"W2052111658","doi":"10.1177/0272989x0102100204","title":"Lack of Congruence in the Ratings of Patients' Health Status by Patients and Their Physicians","year":2001,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":147,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Physical therapy; Worry; Rheumatism; Health care; Rheumatoid arthritis; Disease; Fibromyalgia; Family medicine; Internal medicine; Psychiatry; Anxiety","score_opus":0.13263920121081194,"score_gpt":0.45440894255809877,"score_spread":0.32176974134728686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052111658","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966671,0.00030092744,0.00049641525,0.00019714273,0.00003599657,0.00003057251,0.00013600376,0.000006859905,0.002129026],"genre_scores_gemma":[0.99954575,0.000052316507,0.00013093748,0.000065689164,0.000021318197,0.000017612565,0.00009660084,0.0000020197074,0.000067713045],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98223245,0.0110229645,0.0019115658,0.0012162279,0.0031386246,0.00047822972],"domain_scores_gemma":[0.94437253,0.03466364,0.012227581,0.002960819,0.004479465,0.0012959717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009146344,0.00011576922,0.00037085847,0.0007710908,0.00036027117,0.0013279376,0.00032706783,0.00038593353,0.0015407519],"category_scores_gemma":[0.07317694,0.00018311865,0.00029772418,0.00056773383,0.0006230343,0.0006389995,0.0010067712,0.00040771204,0.000370259],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008858671,0.00008432118,0.97124946,0.00009857843,0.00013450296,0.0001748632,0.006257353,0.0001535299,0.0008575717,0.00019538532,0.0005596316,0.019348914],"study_design_scores_gemma":[0.000042662083,0.00035412592,0.9938474,0.000056617067,0.000032610234,0.00045538566,0.003370664,0.00055597076,0.00031153767,0.00018148606,0.00077282335,0.000018694096],"about_ca_topic_score_codex":0.00097378215,"about_ca_topic_score_gemma":0.0010001665,"teacher_disagreement_score":0.009146344,"about_ca_system_score_codex":0.00046877158,"about_ca_system_score_gemma":0.00029119843,"threshold_uncertainty_score":0.048371077},"labels":[],"label_agreement":null},{"id":"W2054085425","doi":"10.1177/0272989x03023002012","title":"Book Review: Epidemiology and the Delivery of Health Care Services. 2nd ed. Edited by Denise M. Oleske. New York: Kluwer Academic/Plenum Publishers, 2001, 401 pages.","year":2003,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cochrane","funders":"","keywords":"Plenum space; Gerontology; Library science; Medicine; Sociology; Computer science; Engineering; Mechanical engineering","score_opus":0.13322909705039676,"score_gpt":0.460704001934636,"score_spread":0.32747490488423925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054085425","genre_codex":"review","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000059477265,0.98117954,0.00031025137,0.0035863088,0.011270281,0.00002327116,0.00022057889,0.000041288138,0.003309075],"genre_scores_gemma":[0.0006458232,0.9720995,0.00064154546,0.0023130642,0.009221267,0.00004733045,0.00042698215,0.000029737343,0.014574858],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99894494,0.0002300262,0.00011764498,0.00011291677,0.00052372547,0.000070717535],"domain_scores_gemma":[0.99541414,0.0019807257,0.0005034259,0.0000860797,0.0016684369,0.00034725192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014093192,0.0028628893,0.004808461,0.0071564163,0.0005146705,0.002315633,0.002045503,0.002146415,0.029233169],"category_scores_gemma":[0.007170694,0.0011361955,0.0012871253,0.008023989,0.00085276004,0.0023935714,0.0009049506,0.0030658117,0.028772008],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003562501,0.00003197095,0.00012597741,0.0026210656,0.000052291412,0.000059577935,0.00003879932,0.00012388319,0.000111145644,0.0006003379,0.88877785,0.10742152],"study_design_scores_gemma":[0.00003217875,0.000060535098,0.0012231756,0.0049435375,0.00009748058,0.0012120635,0.000054706117,0.00010040082,0.00009846763,0.0017087855,0.9904394,0.000029213985],"about_ca_topic_score_codex":0.008785386,"about_ca_topic_score_gemma":0.016343668,"teacher_disagreement_score":0.029233169,"about_ca_system_score_codex":0.0019477209,"about_ca_system_score_gemma":0.0038302997,"threshold_uncertainty_score":0.09779465},"labels":[],"label_agreement":null},{"id":"W2056047092","doi":"10.1177/0272989x09351590","title":"Comparative Effectiveness Research Through the Looking Glass","year":2009,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Psychological intervention; Government (linguistics); Corporate governance; Health care; Comparative effectiveness research; Management science; Public relations; Psychology; Engineering ethics; Political science; Medicine; Risk analysis (engineering); Nursing; Economics; Management; Engineering; Law","score_opus":0.5865535459400191,"score_gpt":0.5869153970078773,"score_spread":0.00036185106785824317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056047092","genre_codex":"methods","genre_gemma":"commentary","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006063597,0.10257557,0.5259568,0.15178546,0.007764657,0.0038666876,0.0011945926,0.0008047536,0.19998784],"genre_scores_gemma":[0.28809354,0.052405953,0.5760424,0.051499438,0.0039661857,0.011222088,0.00047875376,0.0005430465,0.015748616],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.85395515,0.12503457,0.0042055594,0.005033342,0.010582969,0.0011884808],"domain_scores_gemma":[0.80768186,0.17275307,0.004713894,0.009623654,0.004250918,0.0009765705],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.13418786,0.0018346905,0.004999577,0.009764575,0.0028775928,0.010708695,0.0028778473,0.007097689,0.01696486],"category_scores_gemma":[0.19765095,0.0016420847,0.0030461445,0.0050439904,0.02127729,0.015864423,0.0055600875,0.008468134,0.0013964316],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010326171,0.000037253285,0.00024413051,0.0010409905,0.0001585996,0.000052347907,0.0004221624,0.000932898,0.00007566295,0.9607068,0.0058228974,0.030403037],"study_design_scores_gemma":[0.0001405832,0.00007018688,0.00015566307,0.001642493,0.00009441497,0.000040636198,0.00018807735,0.0012410987,0.00009444992,0.9756713,0.020634608,0.000026545338],"about_ca_topic_score_codex":0.005010503,"about_ca_topic_score_gemma":0.0031577805,"teacher_disagreement_score":0.8658121,"about_ca_system_score_codex":0.010246861,"about_ca_system_score_gemma":0.013263031,"threshold_uncertainty_score":0.7096617},"labels":[],"label_agreement":null},{"id":"W2056843730","doi":"10.1177/0272989x08315238","title":"Development and Validation of a Risk Scoring Tool to Predict Respiratory Syncytial Virus Hospitalization in Premature Infants Born at 33 through 35 Completed Weeks of Gestation","year":2008,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Respiratory viral infections research","field":"Medicine","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Children's Hospital; Hospital for Sick Children; Mount Sinai Hospital; Abbott (Canada); McMaster Children's Hospital; Izaak Walton Killam Health Centre; University of Toronto; Dalhousie University; University of Calgary; McGill University","funders":"Abbott Laboratories","keywords":"Medicine; Logistic regression; Receiver operating characteristic; Cohort; Pneumovirinae; Cohort study; Pediatrics; Risk factor; Risk assessment; Prospective cohort study; Gestation; Internal medicine; Virus; Pregnancy; Immunology; Paramyxoviridae; Viral disease; Biology","score_opus":0.05848501833394392,"score_gpt":0.3743818404316903,"score_spread":0.3158968220977464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056843730","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9799415,0.0006929233,0.0144632645,0.0002612474,0.00008986823,0.0010672545,0.0013400266,0.0001732381,0.001970667],"genre_scores_gemma":[0.95207185,0.00039972324,0.043727394,0.00009657871,0.00003847495,0.0005238855,0.002582318,0.000025849859,0.00053388404],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9958544,0.0011902088,0.00039690788,0.00036177962,0.0019605812,0.00023615982],"domain_scores_gemma":[0.9884276,0.0030361724,0.0016986856,0.000443348,0.0058388673,0.0005554424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009543795,0.00082296017,0.00047074945,0.0017863893,0.00040507768,0.0008597981,0.0010493826,0.00049856276,0.0005728774],"category_scores_gemma":[0.023728123,0.00019477285,0.0006877145,0.0008915994,0.0005262305,0.0003986548,0.0006911212,0.00060757104,0.0003223612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006541422,0.0002627986,0.9235056,0.00008734956,0.00014255432,0.00007292011,0.00023765797,0.0018498515,0.002125707,0.00018088981,0.0013274833,0.06955307],"study_design_scores_gemma":[0.00018605473,0.0017737399,0.96291244,0.00014252884,0.00017800072,0.0003897378,0.00026082597,0.027693063,0.0032728338,0.00018768932,0.0029555736,0.000047519643],"about_ca_topic_score_codex":0.046643488,"about_ca_topic_score_gemma":0.038868215,"teacher_disagreement_score":0.046643488,"about_ca_system_score_codex":0.00151942,"about_ca_system_score_gemma":0.005650971,"threshold_uncertainty_score":0.09274399},"labels":[],"label_agreement":null},{"id":"W2057806081","doi":"10.1177/0272989x03256005","title":"Validation of a Decision Regret Scale","year":2003,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":1441,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; University of Ottawa; Queen's University; Medical Council of Canada; Ottawa Hospital","funders":"","keywords":"Regret; Scale (ratio); Cronbach's alpha; Psychology; Feeling; Health care; Reliability (semiconductor); Consistency (knowledge bases); Social psychology; Psychometrics; Clinical psychology; Computer science; Statistics; Mathematics; Economics","score_opus":0.1960965971306938,"score_gpt":0.48440904128822826,"score_spread":0.28831244415753443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057806081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98162043,0.000290751,0.0057613,0.0006046361,0.000117440875,0.0016795784,0.0008486089,0.0000730652,0.009004152],"genre_scores_gemma":[0.9822542,0.00020920826,0.012997906,0.00021257802,0.00005181345,0.0020418174,0.0010037123,0.000018331319,0.0012105014],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9916762,0.0030880307,0.0012221676,0.00028205506,0.0034165774,0.00031493223],"domain_scores_gemma":[0.9578338,0.025100173,0.005626925,0.0016683143,0.007980615,0.0017901729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012259017,0.00034655296,0.0005418207,0.0016275297,0.00074073323,0.0009274119,0.0007073056,0.00064539764,0.003191081],"category_scores_gemma":[0.04806583,0.00025515867,0.0011095252,0.000722343,0.0007071984,0.0006676268,0.0013771829,0.0013301977,0.00052197994],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014911874,0.0035244604,0.7862643,0.00029221352,0.00037641794,0.00020052277,0.004056592,0.0024423166,0.0019881064,0.0021674344,0.005628992,0.1915675],"study_design_scores_gemma":[0.0005862802,0.0034217779,0.963615,0.00030148553,0.00016233552,0.00069137267,0.0021648111,0.012037349,0.0021507142,0.0028728251,0.011893729,0.00010228272],"about_ca_topic_score_codex":0.0007599446,"about_ca_topic_score_gemma":0.0011187717,"teacher_disagreement_score":0.012259017,"about_ca_system_score_codex":0.000977261,"about_ca_system_score_gemma":0.0016898183,"threshold_uncertainty_score":0.06483269},"labels":[],"label_agreement":null},{"id":"W2058043800","doi":"10.1177/0272989x13507340","title":"Health-Related Quality of Life in HIV-Infected and At-Risk Women","year":2013,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Hepatitis C virus research","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"AIDS Vancouver; Simon Fraser University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Allergy and Infectious Diseases; National Center for Research Resources; National Institute on Drug Abuse","keywords":"Medicine; Hepatitis C; Human immunodeficiency virus (HIV); Hepatitis C virus; Internal medicine; Heroin; Multivariate analysis; Viral load; Quality of life (healthcare); Immunology; Cross-sectional study; Drug; Virus; Psychiatry; Pathology","score_opus":0.05086090029211912,"score_gpt":0.3996182501727657,"score_spread":0.34875734988064655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058043800","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99868006,0.0004448652,0.000033873155,0.00006136491,0.000004830044,0.000008238881,0.00046834242,0.000001240775,0.0002971697],"genre_scores_gemma":[0.99934655,0.00013462521,0.00005159179,0.00003367473,0.000005551058,0.000011617572,0.00032478466,6.023407e-7,0.000090960544],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997075,0.00011919988,0.000027159564,0.00003920443,0.000050216022,0.00005667745],"domain_scores_gemma":[0.99930775,0.0001383622,0.000342327,0.000021088212,0.000056090565,0.00013428238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005459868,0.00025783648,0.00026065746,0.0005654271,0.00024223582,0.00039771706,0.00021404933,0.00032949084,0.0012782186],"category_scores_gemma":[0.0022729565,0.00014867961,0.00040582265,0.00067713426,0.00021251885,0.000367216,0.00048121743,0.0004069506,0.00015119108],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006059956,0.000029081171,0.9985103,0.000013151862,0.00004887353,0.00002130184,0.00007389564,0.000032624856,0.000050789713,0.00000886579,0.00005314342,0.0010974209],"study_design_scores_gemma":[0.0000061479523,0.00010080131,0.9993175,0.000008690715,0.00002115701,0.000085891734,0.00015124163,0.00013163417,0.000022401156,0.000016648617,0.00013563226,0.0000022169256],"about_ca_topic_score_codex":0.0030066117,"about_ca_topic_score_gemma":0.0037739144,"teacher_disagreement_score":0.0030066117,"about_ca_system_score_codex":0.00023414833,"about_ca_system_score_gemma":0.0001727502,"threshold_uncertainty_score":0.0059782267},"labels":[],"label_agreement":null},{"id":"W2061622052","doi":"10.1177/0272989x09333120","title":"Should Clinicians Deliver Decision Aids? Further Exploration of the Statin Choice Randomized Trial Results","year":2009,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Decision aids; Medicine; Randomized controlled trial; Statin; Odds ratio; Confidence interval; Odds; Family medicine; Physical therapy; Alternative medicine; Internal medicine; Logistic regression","score_opus":0.34714318099367986,"score_gpt":0.5220135957669084,"score_spread":0.17487041477322857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061622052","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45027485,0.22261985,0.07427115,0.17552665,0.013254547,0.043875378,0.004258717,0.00093210244,0.0149867395],"genre_scores_gemma":[0.8324999,0.016204908,0.08138172,0.040935565,0.0036513659,0.020258076,0.0010982696,0.00016315277,0.0038070374],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.6781025,0.30011043,0.01034833,0.0045108767,0.0049345377,0.0019932904],"domain_scores_gemma":[0.46071514,0.4957948,0.018704107,0.015492068,0.006121664,0.003172219],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.20681243,0.002134882,0.009684141,0.0010102532,0.0006587559,0.004055472,0.0026477857,0.0073280595,0.011335162],"category_scores_gemma":[0.36113548,0.0011833265,0.0148157505,0.0021415234,0.0026567262,0.005730339,0.0015846797,0.006054382,0.0012045004],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.6622305,0.0054346975,0.01417875,0.03517874,0.0813588,0.0005150252,0.0017355186,0.0044317003,0.0014830139,0.013564017,0.010690905,0.16919836],"study_design_scores_gemma":[0.7348366,0.058937334,0.012748572,0.01615527,0.083886035,0.00037938007,0.001072197,0.020062853,0.0014074617,0.051181965,0.019011963,0.0003203209],"about_ca_topic_score_codex":0.0017858996,"about_ca_topic_score_gemma":0.0021856502,"teacher_disagreement_score":0.20681243,"about_ca_system_score_codex":0.002081449,"about_ca_system_score_gemma":0.007888072,"threshold_uncertainty_score":0.9781415},"labels":[],"label_agreement":null},{"id":"W2065003169","doi":"10.1177/0272989x07300603","title":"A Comparison of EQ-5D Index Scores Derived from the US and UK Population-Based Scoring Functions","year":2007,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Health Economics; University of Alberta","funders":"","keywords":"EQ-5D; Index (typography); Statistics; Population; Mathematics; Preference; Medicine; Econometrics; Health related quality of life; Computer science; Environmental health","score_opus":0.40972891984436766,"score_gpt":0.4661064639734716,"score_spread":0.05637754412910395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065003169","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93948036,0.0023684879,0.04765332,0.0006153889,0.00022348696,0.00035237445,0.0015839281,0.00014559629,0.007577007],"genre_scores_gemma":[0.98235816,0.0004188375,0.0153425615,0.00018330874,0.000019131088,0.00021882661,0.000992116,0.000031200714,0.00043590437],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9787298,0.014662322,0.0014109191,0.0010313187,0.0038494002,0.0003162187],"domain_scores_gemma":[0.9657369,0.02485881,0.0020709182,0.0022917562,0.0048097163,0.00023203567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.023110343,0.00064102956,0.0007852932,0.0016302958,0.00026892606,0.0012872502,0.00079386117,0.0008648793,0.001089209],"category_scores_gemma":[0.09689865,0.0003597826,0.0018116393,0.0020425227,0.0005557455,0.0009338551,0.001529787,0.000964158,0.0003211125],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006158382,0.00027952256,0.6205962,0.0007406324,0.0029864216,0.00014474607,0.0015152826,0.05257059,0.0018706461,0.004344472,0.0056146495,0.3031786],"study_design_scores_gemma":[0.0009195357,0.0033988482,0.8149834,0.00037432532,0.0009611389,0.00087025325,0.0007837666,0.16076446,0.003227346,0.0034419985,0.009873382,0.00040153097],"about_ca_topic_score_codex":0.017407265,"about_ca_topic_score_gemma":0.012384863,"teacher_disagreement_score":0.023110343,"about_ca_system_score_codex":0.0022937637,"about_ca_system_score_gemma":0.00088971335,"threshold_uncertainty_score":0.122220635},"labels":[],"label_agreement":null},{"id":"W2065598197","doi":"10.1177/0272989x0002000208","title":"Perception of Quantitative Information for Treatment Decisions","year":2000,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":186,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Context (archaeology); Task (project management); Computer science; Perception; Statistics; Artificial intelligence; Mathematics; Psychology; Engineering","score_opus":0.05602459499976107,"score_gpt":0.40357311940104107,"score_spread":0.34754852440128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065598197","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9381323,0.001629724,0.04968214,0.001295988,0.0001649582,0.00038602648,0.00052439055,0.0004219224,0.0077625355],"genre_scores_gemma":[0.9819163,0.00031201777,0.016988186,0.00014003356,0.00006316685,0.00008762609,0.00011975159,0.000040667222,0.00033214278],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99154097,0.0058465297,0.00050164113,0.00038693703,0.0015240419,0.00019991124],"domain_scores_gemma":[0.861049,0.119341604,0.010306841,0.0032355546,0.0045404257,0.0015266648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01103727,0.0006648302,0.000485503,0.0012826853,0.00025229136,0.002455421,0.00038172107,0.0007187181,0.007730303],"category_scores_gemma":[0.13625608,0.00026333646,0.00057610933,0.00063530874,0.0005270545,0.0028379625,0.00086880807,0.00080812786,0.00067471695],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.016727924,0.0014118664,0.13595939,0.0026254763,0.00038544167,0.00066967745,0.013547423,0.011473013,0.056085926,0.007706342,0.0057647475,0.74764276],"study_design_scores_gemma":[0.0023877774,0.037917756,0.6073847,0.0029110285,0.00167716,0.0071660965,0.027444387,0.1333147,0.07982055,0.04604042,0.052441668,0.0014938269],"about_ca_topic_score_codex":0.00036024972,"about_ca_topic_score_gemma":0.00018861213,"teacher_disagreement_score":0.01103727,"about_ca_system_score_codex":0.00063312694,"about_ca_system_score_gemma":0.00038943952,"threshold_uncertainty_score":0.058371365},"labels":[],"label_agreement":null},{"id":"W2068301344","doi":"10.1177/0272989x12465354","title":"Generalized Additive Models for the Analysis of EQ-5D Utility Data","year":2012,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Joseph’s Healthcare Hamilton; McMaster University; University of Toronto","funders":"","keywords":"EQ-5D; Generalized additive model; Computer science; Econometrics; Statistics; Medicine; Mathematics; Health related quality of life; Disease; Internal medicine","score_opus":0.7473666536778095,"score_gpt":0.5185906035936125,"score_spread":0.228776050084197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068301344","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021598828,0.0023261341,0.9908257,0.0011103997,0.0002477176,0.0003520386,0.0010761429,0.0004180815,0.0014838908],"genre_scores_gemma":[0.1516293,0.008429776,0.82041585,0.0012744415,0.00075584307,0.0063059414,0.0037407153,0.000454199,0.0069938833],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.96212876,0.03091721,0.00133188,0.001977709,0.0030953202,0.0005492525],"domain_scores_gemma":[0.9196345,0.0706104,0.0038453753,0.0029570227,0.0026727214,0.00027993138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.036405947,0.0033116057,0.0033421938,0.004781962,0.00089915894,0.004014884,0.0049216487,0.0029308244,0.011994245],"category_scores_gemma":[0.10693189,0.001381516,0.005947485,0.0070748273,0.0017996802,0.0027976711,0.0034924902,0.006412173,0.0035126833],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024849467,0.00022562285,0.0073220627,0.0015690856,0.0018897034,0.00075017434,0.0007072079,0.34062183,0.0004012607,0.49437392,0.018409433,0.13348116],"study_design_scores_gemma":[0.000088164896,0.00019687552,0.0020488799,0.00045743556,0.00027700915,0.00031626807,0.00013637728,0.4569734,0.00018908287,0.52280337,0.016388375,0.00012476751],"about_ca_topic_score_codex":0.00859022,"about_ca_topic_score_gemma":0.0077279946,"teacher_disagreement_score":0.036405947,"about_ca_system_score_codex":0.0036265275,"about_ca_system_score_gemma":0.0034466542,"threshold_uncertainty_score":0.1925354},"labels":[],"label_agreement":null},{"id":"W2074177020","doi":"10.1177/0272989x0102100101","title":"Randomized Trial of a Patient Decision Aid for Choice of Surgical Treatment for Breast Cancer","year":2001,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":183,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Ottawa; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre","funders":"","keywords":"Decision aids; Randomized controlled trial; Regret; Medicine; Breast cancer; Mastectomy; Psychological intervention; Physical therapy; Surgery; Alternative medicine; Cancer; Nursing; Internal medicine","score_opus":0.21748743549257993,"score_gpt":0.516672963087418,"score_spread":0.299185527594838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074177020","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9642388,0.009949062,0.0017921893,0.0034993424,0.0030186619,0.011915898,0.0009496957,0.00021646018,0.004419689],"genre_scores_gemma":[0.9741553,0.0028784822,0.0045989836,0.0016825929,0.0009377919,0.012632211,0.00040710715,0.000016837823,0.0026908072],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.994822,0.0038743224,0.00033925296,0.0003850582,0.0003035553,0.0002757326],"domain_scores_gemma":[0.99044377,0.0066112084,0.0011192792,0.0002929873,0.00023227319,0.0013005354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041263406,0.001364826,0.0031593523,0.00068753894,0.00084486534,0.0014837704,0.0011400221,0.0038165147,0.012478806],"category_scores_gemma":[0.015379581,0.00070036727,0.0019330069,0.00056069397,0.001550049,0.0015247202,0.0007409084,0.0046337983,0.00091249024],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9787218,0.007571053,0.00024210289,0.00095740764,0.0005763847,0.00003324684,0.0000493312,0.0002262517,0.00020919893,0.00022742205,0.0004717231,0.01071409],"study_design_scores_gemma":[0.9676031,0.03063699,0.00031902848,0.00006912686,0.00029200022,0.000012087488,0.000020846643,0.0004265811,0.00007984905,0.00021014464,0.00032154997,0.000008803217],"about_ca_topic_score_codex":0.0014125105,"about_ca_topic_score_gemma":0.001843655,"teacher_disagreement_score":0.012478806,"about_ca_system_score_codex":0.000984014,"about_ca_system_score_gemma":0.002173006,"threshold_uncertainty_score":0.041745722},"labels":[],"label_agreement":null},{"id":"W2076003266","doi":"10.1177/0272989x12454577","title":"Modeling Good Research Practices—Overview","year":2012,"lang":"en","type":"review","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":511,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Task (project management); Computer science; Management science; Task force; Work (physics); Health care; Best practice; Event (particle physics); Data science; Risk analysis (engineering); Operations research; Systems engineering; Engineering; Medicine; Political science","score_opus":0.926401954458632,"score_gpt":0.6814429894895374,"score_spread":0.24495896496909464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076003266","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00012905496,0.96735,0.011049949,0.015150468,0.00043291267,0.00017213557,0.00012080773,0.00008121638,0.0055133575],"genre_scores_gemma":[0.003464036,0.97566843,0.015870731,0.0033746099,0.0005569062,0.0004646647,0.00011470456,0.00003423438,0.0004516442],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9556936,0.02774227,0.006218882,0.0019932338,0.0076601775,0.000691876],"domain_scores_gemma":[0.88177836,0.09869984,0.0064314962,0.004364455,0.00777175,0.0009539938],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.055191725,0.0022443559,0.0035022635,0.012536659,0.0014502903,0.008754856,0.0050029065,0.0067496905,0.004561526],"category_scores_gemma":[0.09646356,0.0020454426,0.0021868506,0.013583557,0.0059338952,0.011024774,0.0049291737,0.0057162913,0.0035509346],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051386098,0.00009781619,0.00071824057,0.069200486,0.0004315876,0.0002584533,0.001211574,0.003057726,0.00022954968,0.20491248,0.044613868,0.6752168],"study_design_scores_gemma":[0.00003045699,0.00006510504,0.0006884386,0.117701285,0.00026325634,0.0005358279,0.00057016796,0.00086771295,0.00021955378,0.14246981,0.73652077,0.00006760202],"about_ca_topic_score_codex":0.005794412,"about_ca_topic_score_gemma":0.0063551073,"teacher_disagreement_score":0.94480824,"about_ca_system_score_codex":0.0076589673,"about_ca_system_score_gemma":0.01827544,"threshold_uncertainty_score":0.29188526},"labels":[{"model":"gemma","categories":["metaresearch"],"domain":"methods","study_design":"not_applicable","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":["metaresearch"],"domain":"methods","study_design":"theoretical_or_conceptual","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"split"},{"id":"W2080933952","doi":"10.1177/0272989x06290498","title":"The Impact of Unmeasured Clinical Variables on the Accuracy of Hospital Report Cards: A Monte Carlo Study","year":2006,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; University of Toronto","funders":"","keywords":"Monte Carlo method; Medicine; Emergency medicine; Medical emergency; Statistics","score_opus":0.23079714505280916,"score_gpt":0.556669291106792,"score_spread":0.32587214605398285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080933952","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9722786,0.0004852821,0.0246882,0.0005894819,0.000022086511,0.00027248336,0.00033538023,0.000070476264,0.00125786],"genre_scores_gemma":[0.9947419,0.00008156679,0.0047315327,0.000082471706,0.000009169546,0.000061321734,0.00015495598,0.000013249114,0.0001237479],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.94279456,0.046863347,0.0020302471,0.0029267722,0.0040700412,0.0013150558],"domain_scores_gemma":[0.2386923,0.7112992,0.022826958,0.018917656,0.007041935,0.0012219981],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.08121941,0.0008220013,0.0011951972,0.0013142776,0.00090832997,0.0028373837,0.0020690635,0.0021007473,0.0014486719],"category_scores_gemma":[0.39156425,0.0011323639,0.0018294218,0.0015282953,0.0032482536,0.0026599548,0.0017021293,0.0024005452,0.00026352535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0045437324,0.0007988493,0.4939283,0.00020257835,0.001562209,0.00039844099,0.000799931,0.464975,0.000585121,0.008542726,0.00073845126,0.022924617],"study_design_scores_gemma":[0.0004399083,0.0009460282,0.0637141,0.00012190896,0.00050078664,0.000452122,0.00018585494,0.92357755,0.0023377722,0.007086002,0.0005136765,0.00012442109],"about_ca_topic_score_codex":0.020927783,"about_ca_topic_score_gemma":0.009325234,"teacher_disagreement_score":0.91878057,"about_ca_system_score_codex":0.004826555,"about_ca_system_score_gemma":0.0025784848,"threshold_uncertainty_score":0.42953444},"labels":[],"label_agreement":null},{"id":"W2082058463","doi":"10.1177/0272989x0202200213","title":"A Comparison of Bayesian Methods for Profiling Hospital Performance","year":2002,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; University of Toronto","funders":"","keywords":"Frequentist inference; Bayesian probability; Ranking (information retrieval); Medicine; Statistics; Outlier; Standardized mortality ratio; Mortality rate; Cohort; Econometrics; Emergency medicine; Actuarial science; Computer science; Bayesian inference; Mathematics; Machine learning; Internal medicine","score_opus":0.1371093887246456,"score_gpt":0.43515864610790855,"score_spread":0.29804925738326293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082058463","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37840566,0.0071518854,0.5911839,0.0032312558,0.00033706217,0.00056576746,0.0016165195,0.0009830678,0.016524866],"genre_scores_gemma":[0.7972315,0.0023377906,0.1960271,0.00037497294,0.0001802231,0.0005679271,0.0017379256,0.00015468638,0.0013877989],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9520809,0.034111932,0.001983492,0.0018983374,0.008924669,0.0010005677],"domain_scores_gemma":[0.82326776,0.14522937,0.009826784,0.0063793072,0.013820958,0.0014758862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.049655966,0.001332732,0.0013411152,0.008657852,0.00068370206,0.0027013908,0.0019682269,0.0023070087,0.0015150353],"category_scores_gemma":[0.16601306,0.0008451263,0.0014787285,0.003779458,0.001101416,0.0029873406,0.0024969238,0.0014735374,0.00059737515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002812705,0.0004827502,0.13113172,0.0007933618,0.0019388399,0.00011246186,0.0014991182,0.32668796,0.00075600663,0.04124415,0.0073463945,0.48519447],"study_design_scores_gemma":[0.0003322922,0.00060101267,0.06311398,0.00052984175,0.00021751123,0.00023952924,0.00090475223,0.87167245,0.0010196923,0.056817576,0.004261617,0.00028981577],"about_ca_topic_score_codex":0.008362956,"about_ca_topic_score_gemma":0.007494976,"teacher_disagreement_score":0.049655966,"about_ca_system_score_codex":0.002789966,"about_ca_system_score_gemma":0.0020829518,"threshold_uncertainty_score":0.26260895},"labels":[],"label_agreement":null},{"id":"W2082104905","doi":"10.1177/0272989x0002000405","title":"A Comparison of HU12 and HU13 Utility Scores in Alzheimer's Disease","year":2000,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":104,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Health Utilities Index; Psychology; Medicine; Gerontology; Disease; Internal medicine; Health related quality of life","score_opus":0.41433521058841966,"score_gpt":0.5164683261063964,"score_spread":0.10213311551797671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082104905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976382,0.00067820854,0.0003391948,0.00003540482,0.0000115546345,0.00002270018,0.00042786333,0.0000057001967,0.0008411453],"genre_scores_gemma":[0.9991811,0.00007619468,0.00024437864,0.000013880636,0.00000631123,0.000019542154,0.00038185224,0.0000017220736,0.000074933385],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975074,0.0015111958,0.00024069299,0.00015958979,0.00043851868,0.00014258982],"domain_scores_gemma":[0.99546164,0.0024782019,0.0011375918,0.00015955896,0.0004045249,0.0003584719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005099199,0.00047269964,0.00059338455,0.001430425,0.00021105443,0.0007826254,0.00048519607,0.0004577728,0.0011726024],"category_scores_gemma":[0.011537945,0.00017251233,0.0009860538,0.0014805018,0.0003807427,0.0006544527,0.0008629901,0.0004980248,0.0002503774],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032652593,0.00012754001,0.97282517,0.00009422164,0.0009441788,0.000056923458,0.00022652317,0.000740992,0.00013455286,0.0001883956,0.0005820685,0.020814281],"study_design_scores_gemma":[0.00014028046,0.00095908827,0.9942492,0.00004208221,0.00014648744,0.00025951394,0.00026712843,0.003065847,0.00018047393,0.00031405978,0.0003532147,0.000022650916],"about_ca_topic_score_codex":0.0019701237,"about_ca_topic_score_gemma":0.0016619579,"teacher_disagreement_score":0.005099199,"about_ca_system_score_codex":0.0006168596,"about_ca_system_score_gemma":0.00025631173,"threshold_uncertainty_score":0.026967406},"labels":[],"label_agreement":null},{"id":"W2083386980","doi":"10.1177/0272989x0002000109","title":"Can the Standard Gamble Be Used to Determine Utilities for Uncertain Health States?","year":2000,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Sinai Hospital","funders":"","keywords":"Medicine; Visual analogue scale; Logistic regression; Risk factor; Psychological intervention; Surgery; Internal medicine; Psychiatry","score_opus":0.4423482648309067,"score_gpt":0.5014882948136984,"score_spread":0.059140029982791664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083386980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7987388,0.019563729,0.15772732,0.0061549745,0.0005859791,0.0008142484,0.0020690525,0.0002835079,0.01406238],"genre_scores_gemma":[0.9711572,0.0016629137,0.025210414,0.0005187084,0.000120164346,0.00046385932,0.00048719597,0.000023901739,0.000355725],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9731569,0.023276286,0.001007913,0.0005378235,0.00170155,0.00031953407],"domain_scores_gemma":[0.8647975,0.116762005,0.010432562,0.0040057953,0.0029614281,0.0010407002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.035110615,0.0013752923,0.0020011466,0.0044496213,0.0003201252,0.0017720618,0.0009069053,0.0010549467,0.0024987534],"category_scores_gemma":[0.21824928,0.00043349323,0.0019439362,0.0037504414,0.0013255356,0.0034965419,0.0015242014,0.0015143033,0.00068987056],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006720076,0.0006216758,0.49478915,0.0012962954,0.003775388,0.00021665584,0.0014417266,0.021249995,0.00027694734,0.021087509,0.0057399385,0.4427847],"study_design_scores_gemma":[0.0011752228,0.0072825495,0.48881266,0.0021598318,0.0013518247,0.0013855726,0.0023193455,0.30128223,0.0008299217,0.18076536,0.012041017,0.00059443683],"about_ca_topic_score_codex":0.0017409291,"about_ca_topic_score_gemma":0.002175578,"teacher_disagreement_score":0.035110615,"about_ca_system_score_codex":0.0007798995,"about_ca_system_score_gemma":0.0006130008,"threshold_uncertainty_score":0.18568486},"labels":[],"label_agreement":null},{"id":"W2084402960","doi":"10.1177/0272989x06297101","title":"Further Insight into the Perception of Quantitative Information: Judgments of Gist in Treatment Decisions","year":2007,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":109,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cancer Care Ontario; Queen's University","funders":"","keywords":"Context (archaeology); Referent; Scale (ratio); Perception; Statistics; Psychology; Computer science; Mathematics; Geography; Cartography","score_opus":0.21743835805732956,"score_gpt":0.49552677253745137,"score_spread":0.2780884144801218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084402960","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919362,0.0002967769,0.004106799,0.00025984622,0.000022243265,0.00004811781,0.000090789006,0.000033931974,0.003205365],"genre_scores_gemma":[0.9976221,0.00006860263,0.0019519238,0.000057780064,0.000012244649,0.000016120575,0.000029264955,0.0000079151705,0.00023406238],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9982141,0.0011627987,0.00008306503,0.00016875388,0.0003237086,0.000047631864],"domain_scores_gemma":[0.9771837,0.017661287,0.0030116902,0.0008636976,0.00089299615,0.00038655323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035013235,0.0003726054,0.0002268549,0.0006325238,0.00013528735,0.00088583824,0.0002273681,0.0005634991,0.008564017],"category_scores_gemma":[0.043489903,0.00015199577,0.00022025769,0.00025038817,0.0006108514,0.0013698773,0.00045381405,0.0005362897,0.00032604512],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.031734124,0.0031431986,0.26660016,0.0028112282,0.00037772287,0.00092439656,0.025014732,0.005310619,0.15710132,0.006568448,0.0021802094,0.49823374],"study_design_scores_gemma":[0.0010847733,0.0154773425,0.8752042,0.00066719466,0.0005132819,0.0023696958,0.009351241,0.018823396,0.051001456,0.018026056,0.0073131192,0.00016836697],"about_ca_topic_score_codex":0.0005719477,"about_ca_topic_score_gemma":0.00039995837,"teacher_disagreement_score":0.008564017,"about_ca_system_score_codex":0.00029833624,"about_ca_system_score_gemma":0.00025601327,"threshold_uncertainty_score":0.028649509},"labels":[],"label_agreement":null},{"id":"W2085826762","doi":"10.1177/0272989x0002000102","title":"What Questions Do Patients with Curable Prostate Cancer Want Answered?","year":2000,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":128,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Regional Cancer Foundation","funders":"","keywords":"Respondent; Medicine; Set (abstract data type); Prostate cancer; Family medicine; Second opinion; Cancer; Computer science; Pathology; Internal medicine","score_opus":0.08099655193544686,"score_gpt":0.4396937906940709,"score_spread":0.358697238758624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085826762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96795213,0.005770765,0.0009825018,0.01364262,0.00026071325,0.00021506555,0.0012978856,0.000045541252,0.009832715],"genre_scores_gemma":[0.9912326,0.0027226235,0.0018977795,0.0026295974,0.00013485247,0.00012675782,0.00058854814,0.000009037189,0.00065834605],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99691087,0.0019022864,0.000281627,0.00017345142,0.00043759364,0.00029417168],"domain_scores_gemma":[0.97818154,0.012550477,0.005753147,0.00026604816,0.0014633739,0.0017855609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045839837,0.00032309195,0.00060811563,0.00073248526,0.0007464414,0.0010452409,0.0003948821,0.0013807681,0.0050723017],"category_scores_gemma":[0.033479847,0.00018242522,0.00065176655,0.0008096105,0.00076157326,0.0014330025,0.0010182807,0.0012490983,0.00087770744],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077989086,0.0004603812,0.8258312,0.0021586092,0.00032790366,0.00067421584,0.01674882,0.00049841305,0.0008623981,0.0007756274,0.016985532,0.13389705],"study_design_scores_gemma":[0.00021843649,0.0012138907,0.91903615,0.0014676442,0.00032280167,0.004404756,0.03835908,0.0012012906,0.00087096466,0.0031315836,0.029631397,0.00014199814],"about_ca_topic_score_codex":0.0016740056,"about_ca_topic_score_gemma":0.0023387244,"teacher_disagreement_score":0.0050723017,"about_ca_system_score_codex":0.00080130814,"about_ca_system_score_gemma":0.0013233885,"threshold_uncertainty_score":0.0242427},"labels":[],"label_agreement":null},{"id":"W2086352097","doi":"10.1177/0272989x08327114","title":"Development of a Clinical Prediction Model to Calculate Patient Life Expectancy: The Measure of Actuarial Life Expectancy (MALE)","year":2008,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Waterloo","keywords":"Life expectancy; Actuarial science; Comorbidity; Population; Actuary; Computer science; Psychology; Medicine; Psychiatry","score_opus":0.13146673586044802,"score_gpt":0.39338777883720993,"score_spread":0.2619210429767619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086352097","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08049442,0.00025416393,0.9022104,0.0016595412,0.000107321735,0.0008899851,0.0032417555,0.004277763,0.0068647405],"genre_scores_gemma":[0.6098277,0.00026570336,0.38257805,0.0003705648,0.000069993934,0.0014627142,0.003091321,0.0002604571,0.002073478],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99887127,0.00046750047,0.00009451134,0.00020367643,0.00031750777,0.000045509198],"domain_scores_gemma":[0.9928925,0.004747099,0.0006331992,0.00031300136,0.0012479334,0.00016626723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003115694,0.0006225345,0.000546805,0.0014577286,0.00024420093,0.0014664759,0.00088863645,0.000516769,0.0046188496],"category_scores_gemma":[0.016716478,0.00028846916,0.00066600286,0.0007787699,0.00024850311,0.0008396615,0.0006394504,0.00086994836,0.0013700646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007949283,0.0004937446,0.12999517,0.000397902,0.00047820312,0.0004508773,0.00044026246,0.43599153,0.003179786,0.0119099235,0.024565,0.39130268],"study_design_scores_gemma":[0.00008405953,0.0002882453,0.011458883,0.00011778982,0.00010018472,0.00030683578,0.000076667406,0.96989286,0.0022022822,0.006961106,0.008466212,0.000044983317],"about_ca_topic_score_codex":0.0039932528,"about_ca_topic_score_gemma":0.0028508122,"teacher_disagreement_score":0.0046188496,"about_ca_system_score_codex":0.000875879,"about_ca_system_score_gemma":0.0019215031,"threshold_uncertainty_score":0.016477585},"labels":[],"label_agreement":null},{"id":"W2086720844","doi":"10.1177/0272989x0102100301","title":"Risk-Adjusted Monitoring of Binary Surgical Outcomes","year":2001,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":88,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Actua; University of Waterloo","funders":"","keywords":"Chart; Surgical procedures; Medicine; CUSUM; Control chart; Computer science; Cumulative risk; Statistics; Surgery; Mathematics; Internal medicine","score_opus":0.1256849586185509,"score_gpt":0.4730050120026749,"score_spread":0.34732005338412403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086720844","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024854464,0.0002223428,0.9696872,0.00038579394,0.000091237125,0.00022267681,0.0011990109,0.0023349542,0.0010023363],"genre_scores_gemma":[0.40933186,0.00019981625,0.5878136,0.00014961151,0.00011519075,0.0004581858,0.0012886857,0.00012235486,0.0005206592],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99322104,0.0042571593,0.00057089614,0.0007763802,0.0010029969,0.00017143863],"domain_scores_gemma":[0.9802791,0.009856298,0.004404878,0.003077007,0.0019859916,0.00039674083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008571231,0.0007907494,0.00078285293,0.003105961,0.00025754364,0.001454666,0.0012635756,0.0005328778,0.001872946],"category_scores_gemma":[0.050617646,0.00028609234,0.0007923503,0.0021566532,0.00039953995,0.00088039273,0.0008908708,0.0008425942,0.00038033043],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002033689,0.0002565932,0.1423826,0.00038382498,0.0007841978,0.00032837698,0.00029103147,0.077516966,0.0072979378,0.040630307,0.006900675,0.72119385],"study_design_scores_gemma":[0.00029948234,0.0019508665,0.090854116,0.00011584682,0.00052019284,0.0014488541,0.00009029115,0.8265679,0.015362991,0.051395927,0.011066971,0.0003264601],"about_ca_topic_score_codex":0.0020337405,"about_ca_topic_score_gemma":0.0018152627,"teacher_disagreement_score":0.008571231,"about_ca_system_score_codex":0.00047481107,"about_ca_system_score_gemma":0.0010896465,"threshold_uncertainty_score":0.04532957},"labels":[],"label_agreement":null},{"id":"W2089134311","doi":"10.1177/0272989x0202200214","title":"A Note on the Estimation of Confidence Intervals for Cost-Effectiveness When Costs and Effects Are Censored","year":2002,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Censoring (clinical trials); Confidence interval; Statistics; Econometrics; Correlation; Cost effectiveness; Point estimation; Mathematics; Medicine","score_opus":0.31198339051714963,"score_gpt":0.46750089246329984,"score_spread":0.15551750194615022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089134311","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028248753,0.06506869,0.81340164,0.08389054,0.02116422,0.00041751,0.00071206834,0.0009114804,0.011608892],"genre_scores_gemma":[0.101867184,0.021207863,0.7516954,0.09739916,0.020547282,0.0023009586,0.00066206616,0.0010287664,0.003291357],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.48467392,0.4181323,0.032827515,0.013629944,0.049141724,0.0015946308],"domain_scores_gemma":[0.06167559,0.89087963,0.01036717,0.021823896,0.014851391,0.0004022835],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.35054144,0.0029556833,0.0046774335,0.006005417,0.0018974319,0.009327903,0.0113526285,0.016494323,0.002643308],"category_scores_gemma":[0.77362144,0.0021107753,0.008861579,0.0075926855,0.012473049,0.010079785,0.0049518445,0.04495137,0.0015142462],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019040175,0.00021263357,0.009499321,0.0065331254,0.0035415685,0.0015053216,0.003919621,0.020583773,0.0016060339,0.26354152,0.13861938,0.5485337],"study_design_scores_gemma":[0.0012557484,0.002021106,0.015728658,0.029350372,0.0034576587,0.0044408925,0.001353963,0.06969723,0.009013753,0.5066501,0.35554266,0.001487924],"about_ca_topic_score_codex":0.0071832277,"about_ca_topic_score_gemma":0.0029144401,"teacher_disagreement_score":0.6494585,"about_ca_system_score_codex":0.0041260957,"about_ca_system_score_gemma":0.003764507,"threshold_uncertainty_score":0.800898},"labels":[],"label_agreement":null},{"id":"W2090476682","doi":"10.1177/0272989x05280560","title":"Comparing the Standard Rating Scale and the Magnifier Scale for Assessing Risk Perceptions","year":2005,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Promotion and Cardiovascular Prevention","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Health Services Research and Development; Heart and Stroke Foundation of Canada","keywords":"Scale (ratio); Rating scale; Perception; Risk perception; Event (particle physics); Psychology; Medicine; Statistics; Mathematics; Developmental psychology; Geography","score_opus":0.03413117811737237,"score_gpt":0.3917487377443799,"score_spread":0.35761755962700753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090476682","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97376585,0.0010995202,0.016086997,0.00050691,0.00034971134,0.0018387827,0.00057000184,0.000089193265,0.0056929537],"genre_scores_gemma":[0.96706444,0.0005045149,0.028361697,0.00019537749,0.00010093751,0.0026514686,0.00044767692,0.000016256672,0.00065755786],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9704151,0.017651113,0.0027148405,0.0011600028,0.0077358484,0.0003231069],"domain_scores_gemma":[0.93605983,0.044126034,0.009034603,0.002264556,0.0068697226,0.0016452167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.025519352,0.00038892849,0.0007286581,0.0013203576,0.0003361167,0.0008568109,0.00082228135,0.00063804595,0.0028937566],"category_scores_gemma":[0.062031765,0.00033741762,0.0014399162,0.00088482717,0.0006335413,0.0017746844,0.0012600626,0.00091463944,0.0002955584],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.012121861,0.0040120427,0.6857251,0.0015612729,0.0025760168,0.00015591086,0.0047773514,0.0014350511,0.005826431,0.0026099116,0.00745263,0.27174646],"study_design_scores_gemma":[0.0023162558,0.013046553,0.96426046,0.00039779645,0.0004940651,0.00036410344,0.0026857744,0.0075342143,0.0018963886,0.0015885612,0.00524154,0.00017431282],"about_ca_topic_score_codex":0.00082674355,"about_ca_topic_score_gemma":0.0018799665,"teacher_disagreement_score":0.025519352,"about_ca_system_score_codex":0.000616192,"about_ca_system_score_gemma":0.0009003566,"threshold_uncertainty_score":0.13496089},"labels":[],"label_agreement":null},{"id":"W2092038984","doi":"10.1177/0272989x0002000304","title":"Comparison of Finnish and U.S.-based Visual Analog Scale Valuations of the EQ-5D Measure","year":2000,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Health Economics","funders":"","keywords":"EQ-5D; Time-trade-off; Visual analogue scale; Scale (ratio); Dimension (graph theory); Preference; Ordinary least squares; Quality of life (healthcare); Econometrics; Index (typography); Logistic regression; Measure (data warehouse); Statistics; Health related quality of life; Actuarial science; Medicine; Mathematics; Computer science; Economics; Geography; Data mining","score_opus":0.42760834112273943,"score_gpt":0.49110773798635793,"score_spread":0.0634993968636185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092038984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92618024,0.0040146075,0.0032359434,0.0012093124,0.0002976463,0.00010153237,0.0065163327,0.000038794948,0.05840568],"genre_scores_gemma":[0.9913625,0.00079411047,0.0019302011,0.00021849203,0.00004071213,0.000106927386,0.004071689,0.000015675192,0.0014597132],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9942339,0.0025087465,0.000533573,0.00030487188,0.001982036,0.00043690414],"domain_scores_gemma":[0.9876468,0.007977753,0.0010411327,0.0005213581,0.0024386058,0.00037440014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010079975,0.00032926816,0.0005401341,0.0027118216,0.0006155188,0.0019396233,0.0007571991,0.00061536685,0.005770606],"category_scores_gemma":[0.048148658,0.00013123374,0.001437561,0.0037159915,0.00061504386,0.0012064518,0.0014474445,0.00044955555,0.00066051545],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008838195,0.0005816011,0.57854563,0.0022436283,0.0033112208,0.0012712056,0.009650453,0.013716348,0.0024369548,0.044333316,0.03337044,0.30170095],"study_design_scores_gemma":[0.0003289565,0.0011203992,0.9383302,0.0009753962,0.00063365005,0.0012180744,0.009321909,0.008590849,0.0019616839,0.00596949,0.031343702,0.00020572932],"about_ca_topic_score_codex":0.012440059,"about_ca_topic_score_gemma":0.013919778,"teacher_disagreement_score":0.012440059,"about_ca_system_score_codex":0.002160546,"about_ca_system_score_gemma":0.000943559,"threshold_uncertainty_score":0.053308666},"labels":[],"label_agreement":null},{"id":"W2092725101","doi":"10.1177/0272989x03258421","title":"Validity of Standard Gamble Utilities as Measured by Transplant Readiness in Lung Transplant Candidates","year":2003,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Concordance; Medicine; Quality of life (healthcare); Population; Transplantation; Listing (finance); Lung transplantation; Actuarial science; Intensive care medicine; Surgery; Internal medicine; Environmental health; Finance; Nursing","score_opus":0.21076160389631227,"score_gpt":0.42332864785834584,"score_spread":0.21256704396203357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092725101","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99824834,0.00011226378,0.0009015243,0.0000719431,0.00000462209,0.000015938736,0.000088096094,0.0000053222507,0.0005518897],"genre_scores_gemma":[0.9995925,0.000018970872,0.00022317164,0.000013058698,0.0000028912382,0.000012225526,0.00011280445,0.0000014173115,0.000022983979],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9889283,0.007769614,0.00083085673,0.0005636535,0.001465391,0.00044215476],"domain_scores_gemma":[0.87421894,0.0917767,0.022338824,0.005909002,0.0038217695,0.0019348143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019975979,0.00044716024,0.00057676074,0.0020527607,0.00034670447,0.0013268352,0.00061409164,0.0007827821,0.0009952508],"category_scores_gemma":[0.1784211,0.00023876718,0.00080382277,0.0013793862,0.0017769531,0.0012729615,0.0018167876,0.00089651166,0.0001883643],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058339274,0.00009644316,0.98883295,0.000027193835,0.00015514002,0.000036338082,0.00031955822,0.0014456545,0.000048566682,0.0005701108,0.000114962975,0.007769761],"study_design_scores_gemma":[0.000046539546,0.0005486241,0.97458434,0.00006775902,0.000054076016,0.0002583183,0.00051127834,0.019622141,0.00033282384,0.0036692976,0.00027509197,0.000029669214],"about_ca_topic_score_codex":0.0012348949,"about_ca_topic_score_gemma":0.0009383198,"teacher_disagreement_score":0.019975979,"about_ca_system_score_codex":0.00058910524,"about_ca_system_score_gemma":0.00043657236,"threshold_uncertainty_score":0.105644345},"labels":[],"label_agreement":null},{"id":"W2092756424","doi":"10.1177/0272989x07312726","title":"Technical Note: Acceptability Curves Could Be Misleading When Correlated Strategies Are Compared","year":2008,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Econometrics; Psychology; Medicine; Computer science; Statistics; Mathematics","score_opus":0.3817359241108896,"score_gpt":0.4748204836448817,"score_spread":0.09308455953399214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092756424","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0054750564,0.004261862,0.9202222,0.04182678,0.0051500984,0.0011887187,0.001312177,0.0012736912,0.019289386],"genre_scores_gemma":[0.27120557,0.0035709962,0.66025716,0.03787963,0.007995311,0.005060605,0.0010592869,0.0013221162,0.011649346],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.7921207,0.16945918,0.009347205,0.0059664175,0.022093672,0.0010129323],"domain_scores_gemma":[0.25597388,0.65804154,0.018883452,0.04318133,0.023187624,0.000732208],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.18077491,0.0021893762,0.0025649653,0.003235336,0.0015128973,0.0064652413,0.0051306705,0.0058330935,0.023439588],"category_scores_gemma":[0.64937764,0.0012637567,0.0036426678,0.006012614,0.005878842,0.008863996,0.0060973368,0.012806346,0.006318312],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009230964,0.00011724041,0.0068914723,0.0017883746,0.0005748874,0.0029984447,0.0022992648,0.018396588,0.0007769894,0.5606149,0.15728314,0.2473357],"study_design_scores_gemma":[0.00028946347,0.00038046498,0.0036060903,0.0018360661,0.00033249447,0.0062502353,0.000717871,0.06673418,0.0025077579,0.78291446,0.13411456,0.00031626233],"about_ca_topic_score_codex":0.0024234452,"about_ca_topic_score_gemma":0.0017298046,"teacher_disagreement_score":0.8192251,"about_ca_system_score_codex":0.0033227392,"about_ca_system_score_gemma":0.003238094,"threshold_uncertainty_score":0.95604056},"labels":[],"label_agreement":null},{"id":"W2093104222","doi":"10.1177/0272989x03258443","title":"The Use of Fixed-and Random-Effects Models for Classifying Hospitals as Mortality Outliers: A Monte Carlo Assessment","year":2003,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient Satisfaction in Healthcare","field":"Health Professions","cited_by":101,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Clinical Evaluative Sciences","funders":"","keywords":"Outlier; Logistic regression; False positive paradox; Statistics; Random effects model; Monte Carlo method; Odds; Medicine; Econometrics; Mathematics; Internal medicine; Meta-analysis","score_opus":0.20527028849510268,"score_gpt":0.5113356817594668,"score_spread":0.3060653932643641,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093104222","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40280008,0.0018748277,0.58462936,0.0018312088,0.00019741233,0.0042842305,0.0007249758,0.0006112549,0.0030467205],"genre_scores_gemma":[0.8434951,0.000436037,0.1521047,0.00046506245,0.00007694412,0.002461342,0.00042468085,0.000055575627,0.0004806442],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.83732814,0.1496784,0.0031465224,0.0042906324,0.004510862,0.0010454783],"domain_scores_gemma":[0.27458787,0.6911793,0.012339975,0.014982422,0.005722892,0.001187561],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.21681075,0.0020303463,0.0027524095,0.004371967,0.0013078575,0.0032782867,0.0029932316,0.003871632,0.0033147063],"category_scores_gemma":[0.4350527,0.0013016658,0.0061563924,0.0019547998,0.0033427004,0.0035155034,0.0023233118,0.0033369053,0.0004587336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010796458,0.001048921,0.18309087,0.0010194866,0.007911135,0.00086499477,0.0021249435,0.64921165,0.00044985503,0.047280695,0.0029619378,0.093239],"study_design_scores_gemma":[0.00076592114,0.0013219821,0.012449753,0.0004167205,0.0010851516,0.0002768987,0.0002620852,0.95521235,0.0005113904,0.02659822,0.000948692,0.00015078876],"about_ca_topic_score_codex":0.0075781876,"about_ca_topic_score_gemma":0.005278111,"teacher_disagreement_score":0.78318924,"about_ca_system_score_codex":0.0030533834,"about_ca_system_score_gemma":0.002475404,"threshold_uncertainty_score":0.9658118},"labels":[],"label_agreement":null},{"id":"W2096589265","doi":"10.1177/0272989x11426484","title":"An Equity Framework for Health Technology Assessments","year":2011,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Equity (law); Deliberation; Health technology; Scope (computer science); Checklist; Health care; Business; Process management; Management science; Risk analysis (engineering); Political science; Computer science; Psychology; Economics","score_opus":0.6360861316845253,"score_gpt":0.6119078534373453,"score_spread":0.024178278247179996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096589265","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021583166,0.0064797495,0.8785068,0.02882706,0.0005648182,0.0008134189,0.00038980984,0.00011232274,0.08214779],"genre_scores_gemma":[0.33320272,0.006547456,0.6322749,0.0079006925,0.002784515,0.0045743454,0.00035576397,0.0001965195,0.012163082],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.87776834,0.09448417,0.005313454,0.003846659,0.015470939,0.0031164566],"domain_scores_gemma":[0.90591764,0.07645551,0.003597168,0.004288781,0.008673226,0.0010677152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.11927458,0.0022353309,0.0022336068,0.008507529,0.00376078,0.009339084,0.0047879177,0.006508181,0.00784771],"category_scores_gemma":[0.1109619,0.001111423,0.002340599,0.0045629917,0.015521854,0.013860924,0.009686976,0.0067932643,0.0009442542],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004144032,0.0000062978984,0.00011251158,0.000062998966,0.000014171488,0.000019680303,0.00013588491,0.002029972,0.000015930606,0.99171996,0.00079000846,0.0050885947],"study_design_scores_gemma":[0.000013419818,0.000018312827,0.00011379725,0.00022432415,0.000016292815,0.0000363558,0.00010118538,0.0030785871,0.000067653025,0.98014843,0.01616836,0.00001331701],"about_ca_topic_score_codex":0.006943026,"about_ca_topic_score_gemma":0.004929111,"teacher_disagreement_score":0.11927458,"about_ca_system_score_codex":0.011446961,"about_ca_system_score_gemma":0.013414144,"threshold_uncertainty_score":0.6307918},"labels":[],"label_agreement":null},{"id":"W2097820688","doi":"10.1177/0272989x14547915","title":"Societal Preferences for Distributive Justice in the Allocation of Health Care Resources","year":2014,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Capital District Health Authority","funders":"Health Research Board","keywords":"Distributive justice; Equity (law); Life expectancy; Rationing; Economics; Quality-adjusted life year; Actuarial science; Health care; Maximization; Redistribution (election); Preference; Economic Justice; Public economics; Microeconomics; Medicine; Cost effectiveness; Operations management","score_opus":0.11115335346204629,"score_gpt":0.31420633945608395,"score_spread":0.20305298599403765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097820688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95483613,0.00028189187,0.010509925,0.00385025,0.00003962022,0.00010266036,0.000041001396,0.000012218356,0.030326284],"genre_scores_gemma":[0.99707913,0.00008046003,0.0019354695,0.0004919122,0.000013437389,0.000025443716,0.00001033936,0.0000024049261,0.00036148797],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98127294,0.013795827,0.00062414573,0.0006529343,0.0026864896,0.00096757855],"domain_scores_gemma":[0.97305775,0.018530598,0.0040219054,0.0015932701,0.0017924991,0.0010040146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01803572,0.0003280922,0.00036008115,0.00069461623,0.0009456091,0.0033201566,0.00030743983,0.0014244865,0.003861173],"category_scores_gemma":[0.03301891,0.00016424464,0.0005772876,0.00046542066,0.0029173682,0.0013317202,0.0015744008,0.0017945076,0.00019204633],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023317274,0.0020223847,0.4226077,0.00095743925,0.001198109,0.0022487575,0.041980464,0.01349409,0.040744755,0.2528115,0.0040975558,0.21550554],"study_design_scores_gemma":[0.00047646277,0.0046174745,0.54716545,0.00073507876,0.0004852732,0.002331892,0.070766844,0.026481556,0.013644884,0.2873849,0.045406606,0.0005035688],"about_ca_topic_score_codex":0.00068878784,"about_ca_topic_score_gemma":0.0014857316,"teacher_disagreement_score":0.01803572,"about_ca_system_score_codex":0.0016791542,"about_ca_system_score_gemma":0.0009980677,"threshold_uncertainty_score":0.09538317},"labels":[],"label_agreement":null},{"id":"W2098099927","doi":"10.1177/0272989x09357476","title":"Time Lost by Driving Fast in the United States","year":2010,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Older Adults Driving Studies","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Michael's Hospital; Health Sciences Centre; University of Toronto; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Actuarial science; Psychology; Demography; Gerontology; Computer science; Economics; Sociology","score_opus":0.025680176216391036,"score_gpt":0.41335689956327315,"score_spread":0.38767672334688213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098099927","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894855,0.0029160061,0.0003913445,0.0006297366,0.000067685854,0.00001920242,0.0031199162,0.00003861143,0.0033319273],"genre_scores_gemma":[0.9973484,0.00065362867,0.000117609845,0.00010718225,0.000012711024,0.000012927604,0.0014087444,0.0000046724062,0.00033411774],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993641,0.00024077034,0.000070995455,0.00007511154,0.00015869435,0.0000903839],"domain_scores_gemma":[0.99814546,0.00036720623,0.00082015863,0.00008980673,0.00038906423,0.0001882666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007636492,0.00025313706,0.00020249846,0.0014259096,0.00042934966,0.0008156617,0.00035175652,0.00040350942,0.002300106],"category_scores_gemma":[0.0043879845,0.0001332565,0.00067024544,0.0011456639,0.0003107491,0.00059366995,0.00070827757,0.000507312,0.00025404882],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028461847,0.00014555365,0.96351564,0.00011494614,0.00049765344,0.00019490016,0.00033601557,0.0039422554,0.00012214082,0.0003276326,0.0034107212,0.027107883],"study_design_scores_gemma":[0.00001900552,0.00041202168,0.9896852,0.00013043662,0.0002598231,0.0005537736,0.001079559,0.0029465214,0.0002037021,0.000664405,0.004017932,0.000027737044],"about_ca_topic_score_codex":0.03597086,"about_ca_topic_score_gemma":0.035176933,"teacher_disagreement_score":0.03597086,"about_ca_system_score_codex":0.0014490894,"about_ca_system_score_gemma":0.00065672136,"threshold_uncertainty_score":0.07152301},"labels":[],"label_agreement":null},{"id":"W2098574716","doi":"10.1177/0272989x15579172","title":"Patients or Volunteers? The Impact of Motivation for Trial Participation on the Efficacy of Patient Decision Aids: A Secondary Analysis of a Cochrane Systematic Review","year":2015,"lang":"en","type":"review","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Feeling; Clinical trial; Subgroup analysis; Psychology; Medicine; Meta-analysis; Family medicine; Clinical psychology; Social psychology; Internal medicine","score_opus":0.3520907661060999,"score_gpt":0.5660942976032334,"score_spread":0.21400353149713347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098574716","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022538465,0.96108085,0.0019280897,0.0009155809,0.00061272277,0.008961487,0.0022036007,0.00007525731,0.0016839219],"genre_scores_gemma":[0.5393299,0.41080415,0.0087547,0.0038343216,0.0007127261,0.03292373,0.002377306,0.00011932348,0.0011436845],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.91742104,0.05317331,0.018815441,0.003240222,0.0064963936,0.00085367827],"domain_scores_gemma":[0.81514484,0.14493808,0.027417174,0.004610054,0.0068041766,0.0010856682],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.06701765,0.0022321045,0.015677454,0.0065840124,0.00080229423,0.0049573574,0.0019934713,0.0028102132,0.0066157505],"category_scores_gemma":[0.17909451,0.0013644367,0.039082248,0.0071396823,0.0016656172,0.0031274937,0.0024041976,0.0028280402,0.00043790985],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010356901,0.00006606923,0.0032528727,0.661285,0.30290976,0.00011277643,0.00032314006,0.00017316388,0.00019739458,0.00035000022,0.0007461723,0.020226784],"study_design_scores_gemma":[0.013929728,0.0019411936,0.011565988,0.122320935,0.84262335,0.0002460739,0.0003206128,0.00035121356,0.00038581356,0.0010395709,0.005194599,0.00008091065],"about_ca_topic_score_codex":0.0036696922,"about_ca_topic_score_gemma":0.007521956,"teacher_disagreement_score":0.9329823,"about_ca_system_score_codex":0.0040629515,"about_ca_system_score_gemma":0.006083338,"threshold_uncertainty_score":0.35442746},"labels":[],"label_agreement":null},{"id":"W2098643226","doi":"10.1177/0272989x15598540","title":"The CREATE Method for Expressing Continuous Outcome Data in Absolute Terms for Use in Patient Treatment Decision Aids","year":2015,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hamilton Health Sciences; Montreal Heart Institute; McMaster University; University of Toronto; University Health Network","funders":"","keywords":"Absolute risk reduction; Outcome (game theory); Statistics; Kurtosis; Computer science; Medicine; Mathematics; Confidence interval","score_opus":0.4356436343332973,"score_gpt":0.5447473935557257,"score_spread":0.10910375922242838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098643226","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017957914,0.00025574642,0.98696995,0.00077391346,0.00037374915,0.0006511619,0.0025288556,0.003623092,0.0030277304],"genre_scores_gemma":[0.033864424,0.00036892094,0.954245,0.0008111684,0.00023954595,0.005570832,0.0018826481,0.0012532759,0.0017642077],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9091096,0.069281295,0.007105409,0.0031853102,0.010801832,0.00051640323],"domain_scores_gemma":[0.6483726,0.30455247,0.0149702225,0.019572228,0.011751341,0.00078120275],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.06525844,0.0020933214,0.0018844554,0.006610137,0.0008221732,0.0056155478,0.0026172602,0.0023001528,0.042977225],"category_scores_gemma":[0.3460059,0.001486856,0.0035477914,0.0052505266,0.0022402091,0.0039024,0.004532789,0.0056063323,0.009111769],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014056796,0.00036249324,0.009989112,0.0032580288,0.0011665914,0.00035872817,0.0024188156,0.026313901,0.001908367,0.19737658,0.10368231,0.6517594],"study_design_scores_gemma":[0.0015168532,0.001346628,0.00841574,0.002681826,0.00074531767,0.0025878446,0.0009697187,0.2862405,0.012029517,0.38724387,0.2954137,0.0008085753],"about_ca_topic_score_codex":0.0010255597,"about_ca_topic_score_gemma":0.0012282494,"teacher_disagreement_score":0.93474156,"about_ca_system_score_codex":0.0013776841,"about_ca_system_score_gemma":0.0050466782,"threshold_uncertainty_score":0.34512377},"labels":[],"label_agreement":null},{"id":"W2100668956","doi":"10.1177/0272989x0202200212","title":"Bayesian Extensions of the Tobit Model for Analyzing Measures of Health Status","year":2002,"lang":"en","type":"review","venue":"Medical Decision Making","topic":"Global Health Care Issues","field":"Health Professions","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; University of Toronto","funders":"","keywords":"Tobit model; Heteroscedasticity; Econometrics; Homoscedasticity; Bayes' theorem; Health Utilities Index; Bayesian probability; Variance (accounting); Statistics; Bayes factor; Actuarial science; Psychology; Mathematics; Medicine; Economics","score_opus":0.3499028085436311,"score_gpt":0.5650245885806403,"score_spread":0.2151217800370092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100668956","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004053601,0.48890087,0.48361367,0.0048308424,0.0011118023,0.0007662062,0.00095935387,0.0003963907,0.015367237],"genre_scores_gemma":[0.057338376,0.6522438,0.27693295,0.001695795,0.00068432686,0.0033911148,0.0016746059,0.00014760204,0.0058914516],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.983309,0.012420241,0.0007146915,0.00070144585,0.0026849601,0.00016967738],"domain_scores_gemma":[0.97839147,0.017672706,0.0010871139,0.00074210623,0.0019585488,0.00014808489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017248476,0.0015668775,0.0029053008,0.00561627,0.00048167037,0.0022812344,0.0027273875,0.0020750386,0.004906339],"category_scores_gemma":[0.038837705,0.0009903258,0.0025055313,0.013973893,0.00094744307,0.0035760219,0.0011696862,0.0044656573,0.002235314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000109002336,0.00017740641,0.0045366045,0.0058152406,0.0014694267,0.00018922276,0.00042148508,0.020053437,0.00017276545,0.10531078,0.014504409,0.84724027],"study_design_scores_gemma":[0.00028367768,0.0006293674,0.017499417,0.010616018,0.0016756998,0.0020095934,0.0009964175,0.072247915,0.00068915245,0.57367337,0.31929317,0.00038611636],"about_ca_topic_score_codex":0.007638384,"about_ca_topic_score_gemma":0.008281015,"teacher_disagreement_score":0.017248476,"about_ca_system_score_codex":0.0022695397,"about_ca_system_score_gemma":0.0029042691,"threshold_uncertainty_score":0.09121978},"labels":[],"label_agreement":null},{"id":"W2100680479","doi":"10.1177/0272989x03256007","title":"Switching Therapy in Health Economics Trials: Confronting the Confusion","year":2003,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Confusion; Clinical trial; Medicine; Comparator; Economic analysis; Randomized controlled trial; Intensive care medicine; Economics; Psychology; Surgery; Internal medicine; Engineering","score_opus":0.5105565727209648,"score_gpt":0.5181118890973229,"score_spread":0.00755531637635809,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100680479","genre_codex":"commentary","genre_gemma":"methods","domain_codex":"methods","domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":"methods","domain_consensus":"methods","prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009821891,0.050900187,0.045259032,0.86726636,0.01736339,0.0010745699,0.0002692366,0.00023347084,0.0078119086],"genre_scores_gemma":[0.2274727,0.014061739,0.07368393,0.6424949,0.035173245,0.0056524663,0.00013832987,0.0002465451,0.0010760876],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.18378493,0.7330825,0.04127895,0.0099403085,0.029865615,0.0020476922],"domain_scores_gemma":[0.09722072,0.8563914,0.01537428,0.019430244,0.00763879,0.00394458],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.73927677,0.0019727976,0.013021513,0.006028514,0.0060298485,0.016714215,0.011257281,0.045115776,0.0033988599],"category_scores_gemma":[0.78123343,0.0031967955,0.006693051,0.005835417,0.05031967,0.029274434,0.011947124,0.050697494,0.0013553759],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.016887447,0.00080849853,0.006343289,0.011463168,0.0069729276,0.0009242577,0.011566738,0.00775984,0.000735358,0.4272824,0.14415579,0.36510038],"study_design_scores_gemma":[0.011413157,0.0021140436,0.0031532368,0.009195698,0.0012855057,0.0005303591,0.0021597797,0.008119866,0.0006836899,0.8855005,0.075478844,0.00036540357],"about_ca_topic_score_codex":0.0022559585,"about_ca_topic_score_gemma":0.0024046185,"teacher_disagreement_score":0.26072323,"about_ca_system_score_codex":0.011588827,"about_ca_system_score_gemma":0.013271715,"threshold_uncertainty_score":0.32151824},"labels":[],"label_agreement":null},{"id":"W2102688457","doi":"10.1177/0272989x03258438","title":"A Comparison of the Health Utilities Indices Mark 2 and Mark 3 in Type 2 Diabetes","year":2003,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institute of Health Economics; University of Alberta","funders":"","keywords":"Type 2 diabetes; Medicine; Type (biology); Actuarial science; Statistics; Econometrics; Gerontology; Computer science; Mathematics; Economics; Diabetes mellitus; Endocrinology","score_opus":0.30993960717105595,"score_gpt":0.48373390875153405,"score_spread":0.1737943015804781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102688457","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948512,0.00111237,0.0012404918,0.000091210684,0.000020657882,0.000080921,0.0012121905,0.000018991535,0.0013720547],"genre_scores_gemma":[0.9985549,0.000099940444,0.0005328513,0.000028918932,0.000006980538,0.000039294617,0.00061271,0.0000033570184,0.00012093648],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974668,0.0013392824,0.000181802,0.00015432955,0.0006978494,0.00015994959],"domain_scores_gemma":[0.9946979,0.002738332,0.0015276902,0.0003252313,0.00039581346,0.00031491098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0065293745,0.0003201731,0.00054736243,0.0012649676,0.0001980754,0.0007387375,0.0005049555,0.00036146477,0.0010773035],"category_scores_gemma":[0.013309547,0.00014888021,0.0012353249,0.0017758699,0.0003447881,0.0005937735,0.0006496385,0.0006885841,0.00011598137],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0060054325,0.00020622395,0.9632452,0.000114299626,0.0011577745,0.000035504065,0.00016138796,0.0014827974,0.00028158777,0.00027455608,0.00062516547,0.026410239],"study_design_scores_gemma":[0.000102335274,0.00080697075,0.9947902,0.000026913214,0.00019874741,0.00007498979,0.00012337364,0.0029745358,0.00021127799,0.0002753375,0.0003961808,0.00001907894],"about_ca_topic_score_codex":0.011715282,"about_ca_topic_score_gemma":0.010150312,"teacher_disagreement_score":0.011715282,"about_ca_system_score_codex":0.0012644009,"about_ca_system_score_gemma":0.0005817481,"threshold_uncertainty_score":0.034531057},"labels":[],"label_agreement":null},{"id":"W2103454095","doi":"10.1177/0272989x07306779","title":"Shared Decision Making in the Medical Encounter: Are We All Talking about the Same Thing?","year":2007,"lang":"en","type":"review","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":229,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"CINAHL; EconLit; MEDLINE; Term (time); Phrase; Computer science; Epistemology; Medicine; Psychology; Artificial intelligence","score_opus":0.38029480385156433,"score_gpt":0.5542990010819531,"score_spread":0.17400419723038874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103454095","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07244821,0.50726104,0.02251277,0.35447556,0.0069968775,0.0003431388,0.00018563276,0.00009034025,0.03568637],"genre_scores_gemma":[0.69572437,0.22738595,0.023794778,0.046222087,0.0038404763,0.0006096801,0.00020607829,0.00009383749,0.0021227298],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.7750084,0.17875324,0.014390881,0.0065220734,0.021346578,0.0039788396],"domain_scores_gemma":[0.68161166,0.24779657,0.040578365,0.007807988,0.01441438,0.0077910586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08582229,0.001156847,0.0034908126,0.005771684,0.0062640696,0.026076665,0.003752277,0.009601994,0.004481555],"category_scores_gemma":[0.23803806,0.0010049691,0.0029482057,0.010215122,0.02783475,0.03817663,0.013642141,0.012078505,0.0009861831],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007542875,0.00039092326,0.021716276,0.046623588,0.0017679103,0.0025082338,0.2656648,0.0010104674,0.00048495052,0.20292504,0.026187718,0.42996585],"study_design_scores_gemma":[0.00027916319,0.0006766469,0.009116213,0.089699306,0.0010944685,0.0048562577,0.30326086,0.00059228676,0.0011039348,0.4288266,0.16002926,0.0004650854],"about_ca_topic_score_codex":0.0024159406,"about_ca_topic_score_gemma":0.0020726693,"teacher_disagreement_score":0.08582229,"about_ca_system_score_codex":0.009942505,"about_ca_system_score_gemma":0.026632512,"threshold_uncertainty_score":0.4538771},"labels":[],"label_agreement":null},{"id":"W2103642833","doi":"10.1177/0272989x11398489","title":"Use of a Catalytic Model to Estimate Hepatitis A Incidence in a Low-Endemicity Country","year":2011,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Hepatitis Viruses Studies and Epidemiology","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; Toronto General Hospital; Toronto Public Health; University Health Network","funders":"","keywords":"Incidence (geometry); Seroprevalence; Confidence interval; Demography; Medicine; Hepatitis A; Cumulative incidence; Cohort; Hepatitis; Virology; Immunology; Mathematics; Internal medicine","score_opus":0.12874883077390986,"score_gpt":0.3978675051832317,"score_spread":0.26911867440932186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103642833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82586604,0.00058423396,0.15945995,0.00073637866,0.00004670082,0.00029411245,0.0013474717,0.00033557945,0.011329544],"genre_scores_gemma":[0.9860978,0.0001796469,0.012250428,0.000055542467,0.000006173587,0.00008814304,0.0005678452,0.000016974556,0.0007374371],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999243,0.00041712794,0.000031278974,0.00012178907,0.00007764601,0.00010908027],"domain_scores_gemma":[0.9943727,0.0039517814,0.00039249082,0.00017844625,0.00093071815,0.00017379863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035630353,0.0006243307,0.00064418424,0.0011760152,0.0005698701,0.0013176214,0.0016616833,0.00059331587,0.0011881845],"category_scores_gemma":[0.010941955,0.00042844587,0.00088160863,0.00085342943,0.0005667477,0.00056298054,0.0006296473,0.00066702423,0.00013641408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068982496,0.00002586607,0.026045231,0.000027351767,0.00008816679,0.00006643441,0.00003945888,0.96598667,0.00009172574,0.0026418678,0.0003573973,0.0045609004],"study_design_scores_gemma":[0.0000148337385,0.000016852971,0.0017649949,0.00000940692,0.000031200896,0.000014854535,0.000027005217,0.9969656,0.00006498406,0.0008921084,0.0001923885,0.0000057781285],"about_ca_topic_score_codex":0.4098873,"about_ca_topic_score_gemma":0.16668037,"teacher_disagreement_score":0.4098873,"about_ca_system_score_codex":0.0054578227,"about_ca_system_score_gemma":0.006182659,"threshold_uncertainty_score":0.81500304},"labels":[],"label_agreement":null},{"id":"W2105531965","doi":"10.1177/0272989x13492017","title":"Physicians’ Tacit and Stated Policies for Determining Patient Benefit and Referral to Cardiac Rehabilitation","year":2013,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"Canadian Institutes of Health Research","keywords":"Referral; Rehabilitation; Medicine; Family medicine; Scale (ratio); Psychology; Physical therapy","score_opus":0.02090035465025003,"score_gpt":0.3704648645458608,"score_spread":0.3495645098956108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105531965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926442,0.00031093563,0.0021892646,0.0011842476,0.000017721217,0.00007192133,0.00004975767,0.000015988911,0.0035159579],"genre_scores_gemma":[0.99885905,0.0000578942,0.0008929921,0.00010421911,0.000008019855,0.0000117878935,0.000018596853,0.0000015542112,0.000045901495],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.95628846,0.027752068,0.0036344097,0.0014094872,0.009600531,0.0013151484],"domain_scores_gemma":[0.7327599,0.16697195,0.06317978,0.009675502,0.022605626,0.0048073023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0402212,0.00029893583,0.0002439647,0.001897059,0.001912097,0.0024118861,0.0007005015,0.0009430817,0.00077022857],"category_scores_gemma":[0.18549183,0.00030886763,0.00044193259,0.0008862216,0.003704332,0.0010330948,0.0013730604,0.0013284505,0.00015517298],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005920948,0.00024775782,0.9120217,0.00018787174,0.00024772456,0.00016103688,0.03987452,0.0016243935,0.0015637483,0.0011463825,0.00087408564,0.04145861],"study_design_scores_gemma":[0.00007720538,0.00036821247,0.9539014,0.0004452211,0.00012267623,0.0004580274,0.024451144,0.010889605,0.0027071056,0.0031946755,0.0032419993,0.0001427563],"about_ca_topic_score_codex":0.04463267,"about_ca_topic_score_gemma":0.051623963,"teacher_disagreement_score":0.04463267,"about_ca_system_score_codex":0.005640133,"about_ca_system_score_gemma":0.008055756,"threshold_uncertainty_score":0.21271259},"labels":[],"label_agreement":null},{"id":"W2106584438","doi":"10.1177/0272989x0002000113","title":"An Assessment of Methods to Combine Published Survival Curves","year":2000,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Regional Cancer Foundation; University of Ottawa","funders":"","keywords":"Censoring (clinical trials); Covariate; Statistics; Survival analysis; Medicine; Mathematics; Oncology","score_opus":0.5056615645167237,"score_gpt":0.6965193766699368,"score_spread":0.19085781215321307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106584438","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036370035,0.013912965,0.9384623,0.0009151896,0.0004611499,0.0019113732,0.0028942323,0.0030359784,0.0020366556],"genre_scores_gemma":[0.30512258,0.0022553154,0.6840791,0.000565206,0.00024666803,0.0028714533,0.0031517171,0.0011313196,0.0005765093],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.66162014,0.27321863,0.02708071,0.012154725,0.024975639,0.0009501495],"domain_scores_gemma":[0.24829403,0.6219644,0.035933852,0.0611635,0.0318436,0.00080068683],"candidate_categories":["metaresearch","metaepi_broad"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.34096035,0.004891991,0.0041778754,0.015966281,0.0012215688,0.007231028,0.0038896645,0.0033388056,0.0019587567],"category_scores_gemma":[0.6851646,0.0015794166,0.01007451,0.011772288,0.001759256,0.0042947424,0.0051273983,0.002939819,0.00084868097],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003184349,0.00021623318,0.124197654,0.010489464,0.051150993,0.00042708675,0.0022059593,0.14695577,0.0031100377,0.01011465,0.007849131,0.64009863],"study_design_scores_gemma":[0.0019115185,0.0038174686,0.102042034,0.008958002,0.021433376,0.0031635705,0.0013857391,0.7252537,0.017636957,0.061767783,0.051010083,0.001619717],"about_ca_topic_score_codex":0.0033032482,"about_ca_topic_score_gemma":0.0025637834,"teacher_disagreement_score":0.99582213,"about_ca_system_score_codex":0.0028113613,"about_ca_system_score_gemma":0.0033214744,"threshold_uncertainty_score":0.8127132},"labels":[],"label_agreement":null},{"id":"W2106835183","doi":"10.1177/0272989x10370815","title":"Comparative Effectiveness Research: Challenges for Medical Journals","year":2010,"lang":"en","type":"editorial","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Ottawa Hospital","funders":"","keywords":"Comparative effectiveness research; Medical research; Alternative medicine; Medical journal; Medicine; MEDLINE; Medical education; Family medicine; Political science; Pathology","score_opus":0.7167079717686192,"score_gpt":0.6301479999372894,"score_spread":0.0865599718313298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106835183","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00005418622,0.058165204,0.0008875127,0.36832756,0.5711179,0.000033422726,0.00003088162,0.00006817449,0.0013152555],"genre_scores_gemma":[0.0021845114,0.043880492,0.003538021,0.15686722,0.79092085,0.000120325174,0.000032646705,0.00011311504,0.0023428118],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.79138386,0.09149379,0.037863746,0.0065491367,0.07040394,0.002305538],"domain_scores_gemma":[0.20588373,0.61488634,0.012870442,0.012218599,0.13960527,0.014535616],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.24785304,0.002696448,0.008578852,0.011875795,0.006531018,0.02956924,0.0076752747,0.028772153,0.006287089],"category_scores_gemma":[0.5458159,0.0019255118,0.0037884563,0.007645313,0.015163485,0.01865219,0.005277215,0.04749045,0.003958046],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008880074,0.00003846739,0.00005493598,0.0026493135,0.00017269903,0.00013435724,0.00035480026,0.000101250116,0.000039318602,0.016632285,0.9298841,0.049849607],"study_design_scores_gemma":[0.00028009358,0.00007394237,0.00028343577,0.00910273,0.00022742405,0.0003229305,0.0005467836,0.00043148902,0.00009845176,0.058493085,0.9300538,0.00008586091],"about_ca_topic_score_codex":0.0017869599,"about_ca_topic_score_gemma":0.0035968088,"teacher_disagreement_score":0.75214696,"about_ca_system_score_codex":0.008520144,"about_ca_system_score_gemma":0.02079629,"threshold_uncertainty_score":0.9275311},"labels":[],"label_agreement":null},{"id":"W2107324201","doi":"10.1177/0272989x04267008","title":"Refining Estimates of Major Depression Incidence and Episode Duration in Canada Using a Monte Carlo Markov Model","year":2004,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Mental Health Research Topics","field":"Psychology","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Incidence (geometry); Duration (music); Depression (economics); Statistics; Markov chain Monte Carlo; Markov model; Monte Carlo method; Econometrics; Computer science; Medicine; Markov process; Mathematics","score_opus":0.05948164965937775,"score_gpt":0.4307853803543425,"score_spread":0.37130373069496475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107324201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5770556,0.001312139,0.4111249,0.0014716809,0.00004540804,0.00052825216,0.0025770846,0.00047274499,0.005412236],"genre_scores_gemma":[0.91918045,0.0004891374,0.07750708,0.000094456,0.000017391443,0.00019257613,0.0013020881,0.00003464353,0.0011820763],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99787974,0.001170723,0.00011636747,0.00029046362,0.00034149585,0.00020119137],"domain_scores_gemma":[0.9797267,0.016085152,0.0011454037,0.00065009505,0.002115413,0.00027721096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0066984994,0.00039556896,0.0008655677,0.0018476186,0.00088850566,0.0014475314,0.0014347949,0.0006274511,0.0020280771],"category_scores_gemma":[0.04109819,0.0005656015,0.0008909807,0.0019284582,0.0006451267,0.00085579633,0.0008372344,0.00096713385,0.0001492704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003542018,0.00007657774,0.097228914,0.0001355645,0.00033120328,0.00014758421,0.0005076746,0.8447663,0.0003169431,0.01790137,0.0017554923,0.03647817],"study_design_scores_gemma":[0.000040438394,0.000026546335,0.015030706,0.000044905562,0.00006319163,0.00003827564,0.00007997636,0.9776024,0.00015340495,0.006006975,0.0008882467,0.00002489798],"about_ca_topic_score_codex":0.83529466,"about_ca_topic_score_gemma":0.77920276,"teacher_disagreement_score":0.16470534,"about_ca_system_score_codex":0.011319852,"about_ca_system_score_gemma":0.013290631,"threshold_uncertainty_score":0.33135062},"labels":[],"label_agreement":null},{"id":"W2107667787","doi":"10.1177/0272989x13491463","title":"Validation of SURE, a Four-Item Clinical Checklist for Detecting Decisional Conflict in Patients","year":2013,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":161,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; Université Laval","funders":"","keywords":"Checklist; Medicine; Spearman's rank correlation coefficient; Population; Clinical trial; Gold standard (test); Internal consistency; Physical therapy; Clinical psychology; Internal medicine; Psychometrics; Psychology; Statistics","score_opus":0.3313651932412289,"score_gpt":0.5151991827952819,"score_spread":0.183833989554053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107667787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98704743,0.0008619436,0.0060185445,0.0005195216,0.00008565055,0.0026233837,0.0006696962,0.0000802352,0.0020936043],"genre_scores_gemma":[0.9804704,0.00028381537,0.014595645,0.00031091747,0.000054859578,0.0032854343,0.0007547968,0.000010717067,0.0002333831],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.97262496,0.019057259,0.0033600258,0.0009022505,0.003427218,0.000628335],"domain_scores_gemma":[0.92471176,0.04489984,0.017362842,0.0032431283,0.0074297357,0.0023525306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.027159825,0.00051256584,0.001056314,0.0012802216,0.00039962985,0.0008633959,0.0009456101,0.000811596,0.0020162526],"category_scores_gemma":[0.08415458,0.00033433977,0.001095596,0.00083617674,0.0007336882,0.0011586054,0.0013751581,0.0010068647,0.00032382493],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006477815,0.0024594355,0.8044316,0.0014079871,0.00063519686,0.000128997,0.002576068,0.0034449743,0.0018189135,0.000607801,0.0032769793,0.1727343],"study_design_scores_gemma":[0.0021546998,0.023786206,0.95088774,0.0006687775,0.00031616702,0.00084802456,0.0014709604,0.010880371,0.0027580955,0.0008098755,0.005256907,0.00016210257],"about_ca_topic_score_codex":0.00051156647,"about_ca_topic_score_gemma":0.00073339255,"teacher_disagreement_score":0.027159825,"about_ca_system_score_codex":0.00074906374,"about_ca_system_score_gemma":0.0023943926,"threshold_uncertainty_score":0.14363658},"labels":[],"label_agreement":null},{"id":"W2109622137","doi":"10.1177/0272989x12443311","title":"Decision Coaching to Prepare Patients for Making Health Decisions","year":2012,"lang":"en","type":"review","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":162,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre hospitalier universitaire de Québec; University of Saskatchewan; Ottawa Hospital; University of Ottawa","funders":"","keywords":"Coaching; Clinical decision making; Medical decision making; Decision analysis; Psychology; Medicine; Management science; Process management; Business; Medical emergency; Intensive care medicine; Psychotherapist; Engineering; Economics","score_opus":0.47208703101640753,"score_gpt":0.5822630102371843,"score_spread":0.11017597922077677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109622137","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06998074,0.8826724,0.007069714,0.010501258,0.0020177716,0.0051809126,0.000555998,0.00016648235,0.0218547],"genre_scores_gemma":[0.5493208,0.40487865,0.026529111,0.006857753,0.0013556582,0.008653587,0.0006179952,0.00003668416,0.0017498188],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.98682505,0.009878993,0.0011459574,0.0007399129,0.0011570688,0.0002530479],"domain_scores_gemma":[0.9381915,0.054338317,0.004904039,0.0008009572,0.0009452516,0.000819931],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01079742,0.0007496911,0.002047587,0.0014344519,0.0007040782,0.0016391807,0.0012502166,0.0017979036,0.008732042],"category_scores_gemma":[0.05163979,0.0003377712,0.0028567135,0.001415607,0.0010305061,0.0014737269,0.0011466007,0.003214453,0.0005315839],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.01073607,0.0030425303,0.0027342832,0.20476215,0.004513937,0.000090021196,0.0011313753,0.0016746402,0.00030167808,0.0039374633,0.010302587,0.75677323],"study_design_scores_gemma":[0.071603455,0.02224333,0.027284415,0.664239,0.021946361,0.0012383335,0.002016391,0.0053618695,0.0034854563,0.01981047,0.16048643,0.00028441282],"about_ca_topic_score_codex":0.0016816604,"about_ca_topic_score_gemma":0.0024707727,"teacher_disagreement_score":0.01079742,"about_ca_system_score_codex":0.0015875606,"about_ca_system_score_gemma":0.0050117653,"threshold_uncertainty_score":0.05710292},"labels":[],"label_agreement":null},{"id":"W2111227431","doi":"10.1177/0272989x05280558","title":"Preference-Based Antithrombotic Therapy in Atrial Fibrillation: Implications for Clinical Decision Making","year":2005,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Canadian Institutes of Health Research; McMaster University; Institute for Clinical Evaluative Sciences; Élisabeth Bruyère Hospital; St. Thomas Hospital; Ottawa Hospital","funders":"Agency for Healthcare Research and Quality","keywords":"Warfarin; Medicine; Atrial fibrillation; Antithrombotic; Aspirin; Stroke (engine); MEDLINE; Intensive care medicine; Medical prescription; Clinical Practice; Physical therapy; Internal medicine","score_opus":0.2659753272242949,"score_gpt":0.4873222501553039,"score_spread":0.221346922931009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111227431","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04887667,0.69445306,0.02609331,0.21666144,0.0022604803,0.0009891033,0.0010275071,0.000052745203,0.009585677],"genre_scores_gemma":[0.78345764,0.14797543,0.03188117,0.03237011,0.0021121886,0.0016068362,0.00032516112,0.000023106653,0.00024835736],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.7903116,0.18621603,0.011739836,0.0025790082,0.0082942415,0.0008592918],"domain_scores_gemma":[0.26515886,0.70190287,0.020709617,0.003136147,0.007827853,0.0012647148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1694207,0.0011256572,0.0039144144,0.0053580203,0.00094157335,0.00726098,0.0023430565,0.003930007,0.0038629966],"category_scores_gemma":[0.4486063,0.0007408797,0.0047629266,0.006285323,0.0037833308,0.0076424773,0.0027485539,0.0052533443,0.00024052727],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032768012,0.0006204143,0.049894325,0.17210414,0.035333518,0.0009025717,0.009589999,0.015536584,0.00027739035,0.06013686,0.02561134,0.62671614],"study_design_scores_gemma":[0.0033293501,0.0021214406,0.04387966,0.23493718,0.017579421,0.0017321317,0.010506611,0.018325359,0.0004984625,0.6324188,0.033787303,0.00088427047],"about_ca_topic_score_codex":0.0038420928,"about_ca_topic_score_gemma":0.00509409,"teacher_disagreement_score":0.1694207,"about_ca_system_score_codex":0.006140283,"about_ca_system_score_gemma":0.010014748,"threshold_uncertainty_score":0.89599305},"labels":[],"label_agreement":null},{"id":"W2113500562","doi":"10.1177/0272989x07312721","title":"Modeling the Logistics of Response to Anthrax Bioterrorism","year":2008,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Bacillus and Francisella bacterial research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"U.S. Public Health Service","keywords":"Software deployment; Medicine; Medical emergency; Risk analysis (engineering); Business; Computer security; Environmental health; Intensive care medicine; Computer science","score_opus":0.04295761122448166,"score_gpt":0.3497121022199391,"score_spread":0.30675449099545743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113500562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5816832,0.0018558194,0.32067874,0.007850106,0.00042345255,0.0005772591,0.005670146,0.00088183826,0.0803795],"genre_scores_gemma":[0.9342872,0.0010800665,0.025449624,0.00035615152,0.000065518376,0.00052603864,0.0013111751,0.000120199016,0.036804013],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926144,0.00028166446,0.000030091522,0.00012546293,0.00006305845,0.00023829509],"domain_scores_gemma":[0.99661773,0.0021616768,0.00043983982,0.00008447018,0.0003743187,0.00032190973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013526807,0.0014862027,0.0010343066,0.0010594411,0.0009045247,0.0029870565,0.002348319,0.004001053,0.0096345395],"category_scores_gemma":[0.004837199,0.0011691032,0.0017556754,0.0012736686,0.0013355362,0.0020381934,0.0019595379,0.0017099442,0.0010021543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006247001,0.000038466544,0.0011755169,0.000030738214,0.000025082465,0.00007640376,0.00003511134,0.9908736,0.00016755173,0.0060264748,0.0005063539,0.0009823006],"study_design_scores_gemma":[0.000029236862,0.000032741482,0.0003003575,0.000011077351,0.000017638231,0.00002019452,0.00006841609,0.9949274,0.000058592315,0.0037393712,0.0007859147,0.000009069422],"about_ca_topic_score_codex":0.06626725,"about_ca_topic_score_gemma":0.02693479,"teacher_disagreement_score":0.06626725,"about_ca_system_score_codex":0.0043687387,"about_ca_system_score_gemma":0.0042896476,"threshold_uncertainty_score":0.13176304},"labels":[],"label_agreement":null},{"id":"W2113807678","doi":"10.1177/0272989x08327067","title":"Decisional Conflict in Patients and Their Physicians: A Dyadic Approach to Shared Decision Making","year":2009,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":197,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Université Laval; Hôpital Saint-François d'Assise; Centre hospitalier universitaire de Québec","funders":"","keywords":"Medical decision making; Psychology; Group decision-making; Management science; Social psychology; Medicine; Family medicine; Economics","score_opus":0.15019996944445355,"score_gpt":0.4396322377587697,"score_spread":0.2894322683143161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113807678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.968869,0.0022211524,0.01733362,0.0052652075,0.000052326195,0.00015067136,0.00007616699,0.000016982125,0.0060149087],"genre_scores_gemma":[0.99656737,0.000322188,0.0027988385,0.000090664944,0.000013763746,0.000058754245,0.000021752117,0.000002157324,0.00012450226],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98027956,0.017508926,0.00035230487,0.00050974026,0.00091173407,0.00043772082],"domain_scores_gemma":[0.9695104,0.024173236,0.003398371,0.0005368204,0.0008654989,0.0015156524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009563079,0.00048513385,0.0005971253,0.0016274715,0.0022746183,0.0036524623,0.0010288694,0.0007605782,0.0021957827],"category_scores_gemma":[0.03398445,0.00035350717,0.0005099752,0.0012033823,0.0022220048,0.0031617966,0.004236348,0.0017915078,0.00012200764],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010007733,0.000815266,0.51123184,0.0005903768,0.00077239645,0.0037828987,0.3431942,0.006582061,0.00072789093,0.030448534,0.002603103,0.09825067],"study_design_scores_gemma":[0.00031812984,0.0015448141,0.2745221,0.00095579366,0.0009213073,0.008312688,0.47707748,0.07575149,0.0011574489,0.14604957,0.0130985705,0.0002906481],"about_ca_topic_score_codex":0.0029664594,"about_ca_topic_score_gemma":0.003996353,"teacher_disagreement_score":0.009563079,"about_ca_system_score_codex":0.0030287376,"about_ca_system_score_gemma":0.0032512255,"threshold_uncertainty_score":0.05057496},"labels":[],"label_agreement":null},{"id":"W2115767227","doi":"10.1177/0272989x11424401","title":"Patient and Public Involvement in Clinical Practice Guidelines","year":2011,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Mental Health and Patient Involvement","field":"Health Professions","cited_by":164,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Canadian Arthritis Patient Alliance; Ministère de la Santé et des Services Sociaux (Québec)","funders":"Canadian Institutes of Health Research; Centre Hospitalier Universitaire de Québec","keywords":"Data extraction; Inclusion (mineral); Public health; Medicine; Variety (cybernetics); Family medicine; Focus group; MEDLINE; Medical education; Nursing; Psychology; Political science","score_opus":0.588202314041336,"score_gpt":0.5769600471350957,"score_spread":0.011242266906240306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115767227","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038756184,0.34510875,0.024236197,0.43413472,0.0061461865,0.0050415737,0.0010985708,0.0004442332,0.14503357],"genre_scores_gemma":[0.7543411,0.12779371,0.044963386,0.05529587,0.004313319,0.008368639,0.0010015438,0.00014565882,0.003776872],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.6205482,0.3189372,0.026686614,0.00519872,0.025597842,0.003031496],"domain_scores_gemma":[0.3976234,0.47645068,0.060231704,0.016826477,0.03605799,0.012809756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.17419346,0.0006494407,0.0013190297,0.005748475,0.0016956724,0.0072687934,0.003311406,0.0047477335,0.010687801],"category_scores_gemma":[0.44317994,0.00088145665,0.0018046218,0.006960137,0.005005836,0.010422892,0.009320169,0.0056973863,0.0011908789],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002677089,0.0006594676,0.015584842,0.07650834,0.00073955714,0.00053898117,0.028132817,0.0007955764,0.00025946865,0.040417302,0.08033116,0.75576484],"study_design_scores_gemma":[0.0010897998,0.00096337794,0.028416827,0.21585597,0.0009977178,0.0018813735,0.015330795,0.0009107255,0.0006279926,0.04878746,0.6849467,0.00019123653],"about_ca_topic_score_codex":0.0030648762,"about_ca_topic_score_gemma":0.0037190805,"teacher_disagreement_score":0.17419346,"about_ca_system_score_codex":0.007770978,"about_ca_system_score_gemma":0.03886967,"threshold_uncertainty_score":0.9212341},"labels":[],"label_agreement":null},{"id":"W2115838114","doi":"10.1177/0272989x12451056","title":"Use of Natural Health Products","year":2012,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Complementary and Alternative Medicine Studies","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph; University of Toronto","funders":"","keywords":"Laddering; Naturalness; Context (archaeology); Product (mathematics); Situational ethics; Psychology; Quality (philosophy); Marketing; Perception; Applied psychology; Social psychology; Medicine; Business","score_opus":0.14763258900715653,"score_gpt":0.4414239782614098,"score_spread":0.29379138925425324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115838114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7154672,0.07491749,0.0039665923,0.0051757707,0.00030381943,0.00037698634,0.0042162226,0.00018029223,0.19539556],"genre_scores_gemma":[0.9498162,0.020386936,0.0045812996,0.0016647009,0.00011530211,0.00009433507,0.001294614,0.000022963659,0.02202367],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9995043,0.00012564634,0.00003373843,0.000099104895,0.0001974765,0.00003975032],"domain_scores_gemma":[0.99938726,0.0002496285,0.00019854838,0.0000474366,0.000068617665,0.000048453603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000620718,0.000181815,0.00016828906,0.00029987327,0.00034476016,0.00082471786,0.00027128728,0.00044961646,0.018406983],"category_scores_gemma":[0.0011637753,0.000070415714,0.0003342104,0.00036510642,0.00043463672,0.00051921303,0.00045979282,0.00029179148,0.0017722338],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012907434,0.00054340484,0.1077321,0.008365489,0.00030436265,0.0022172574,0.0035659138,0.00026886308,0.048992857,0.0064783767,0.013544365,0.8066963],"study_design_scores_gemma":[0.0000943753,0.0017840646,0.258827,0.004113057,0.00033390446,0.009803283,0.0055460995,0.00036888756,0.020858645,0.00440136,0.6937867,0.000082636754],"about_ca_topic_score_codex":0.0019708166,"about_ca_topic_score_gemma":0.0036737812,"teacher_disagreement_score":0.018406983,"about_ca_system_score_codex":0.00040665703,"about_ca_system_score_gemma":0.00042194437,"threshold_uncertainty_score":0.0615775},"labels":[],"label_agreement":null},{"id":"W2116396363","doi":"10.1177/0272989x10393284","title":"Calculating Utility Decrements Associated With an Adverse Event","year":2011,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; St. Joseph’s Healthcare Hamilton; Programs for Assessment of Technology in Health Research Institute","funders":"","keywords":"Tobit model; Econometrics; Statistics; Mathematics; Event (particle physics)","score_opus":0.4643728791633878,"score_gpt":0.46888997858030834,"score_spread":0.0045170994169205225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116396363","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6799887,0.0096424,0.2668963,0.003785188,0.0004577781,0.0013517996,0.007935662,0.0003113477,0.029630978],"genre_scores_gemma":[0.9510421,0.0021312092,0.042958554,0.0002697152,0.00005694077,0.00069863035,0.0016344858,0.00002976482,0.001178652],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.97611976,0.016966688,0.002154234,0.000934023,0.003481672,0.0003436154],"domain_scores_gemma":[0.8830386,0.08610485,0.016750399,0.0051870104,0.008268134,0.0006509493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.027146297,0.00057082064,0.00058654224,0.0027912094,0.00028577776,0.001443369,0.00081041275,0.0006198785,0.0053135455],"category_scores_gemma":[0.13682824,0.00021918402,0.001878049,0.0029775486,0.0010422405,0.0012588102,0.001900702,0.00197549,0.00045577096],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002155429,0.00033232023,0.52056015,0.004151468,0.0021894325,0.0004911486,0.0031348749,0.035769988,0.0008291751,0.028910734,0.007428359,0.394047],"study_design_scores_gemma":[0.00020061662,0.0038213045,0.78169733,0.005116668,0.0025484683,0.0035354923,0.0033261946,0.074968,0.010334633,0.08158728,0.032531798,0.00033224997],"about_ca_topic_score_codex":0.0013633306,"about_ca_topic_score_gemma":0.001295227,"teacher_disagreement_score":0.027146297,"about_ca_system_score_codex":0.0014498477,"about_ca_system_score_gemma":0.0008359389,"threshold_uncertainty_score":0.14356506},"labels":[],"label_agreement":null},{"id":"W2118322498","doi":"10.1177/027298902237706","title":"Measurement of Health Preferences among Patients with Tuberculous Infection and Disease","year":2002,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Disease; Medicine; Internal medicine","score_opus":0.2843799878558878,"score_gpt":0.396803924049546,"score_spread":0.1124239361936582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118322498","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992071,0.00014096829,0.00011572943,0.000038792612,0.0000019110057,0.0000175019,0.000075347736,0.0000016562225,0.0004010944],"genre_scores_gemma":[0.9995907,0.000052608448,0.00017010515,0.000031420677,0.0000039555875,0.0000171433,0.00006460041,3.5697929e-7,0.000069163514],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99879634,0.0007091463,0.00012802336,0.00007158293,0.00017804634,0.00011685042],"domain_scores_gemma":[0.9949191,0.0022734199,0.0018865296,0.0001738139,0.00030966502,0.000437425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020391704,0.00023577563,0.00038815063,0.0008563885,0.00035246968,0.0006159724,0.00024000082,0.00048988493,0.0018045185],"category_scores_gemma":[0.012041837,0.00012571958,0.00043534642,0.0006614339,0.00031066203,0.0005071077,0.00042414968,0.00039705544,0.00028741336],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034928427,0.00014937072,0.9905964,0.000044274875,0.000054501787,0.00009068385,0.00063721597,0.00010974232,0.0002501971,0.000030087436,0.00010532359,0.007582973],"study_design_scores_gemma":[0.00003739817,0.0011009659,0.9961308,0.00001771697,0.00002697036,0.0005053113,0.0010919673,0.00059911166,0.00013182774,0.00008135928,0.00026167894,0.000014769436],"about_ca_topic_score_codex":0.0016273212,"about_ca_topic_score_gemma":0.0020484505,"teacher_disagreement_score":0.0020391704,"about_ca_system_score_codex":0.00030021768,"about_ca_system_score_gemma":0.00019494302,"threshold_uncertainty_score":0.010784268},"labels":[],"label_agreement":null},{"id":"W2120517142","doi":"10.1177/0272989x15594369","title":"A Practical Application of Value of Information and Prospective Payback of Research to Prioritize Evaluative Research","year":2015,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Coastal Health Research Institute; Vancouver Coastal Health","funders":"Medical Research Council; National Institute for Health and Care Research","keywords":"Prioritization; Value of information; Computer science; Management science; Value (mathematics); Risk analysis (engineering); Decision aids; Operations research; Data science; Actuarial science; Medicine; Artificial intelligence; Business; Economics; Machine learning; Alternative medicine","score_opus":0.6234322006084808,"score_gpt":0.631423106902669,"score_spread":0.007990906294188194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120517142","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021280432,0.0015950776,0.933401,0.010770034,0.00038473695,0.004283499,0.00044328248,0.0005321772,0.027309803],"genre_scores_gemma":[0.21735196,0.0006895315,0.7769758,0.0007873743,0.00011726401,0.0032602379,0.00010429955,0.00006989844,0.0006436261],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.5957344,0.36241966,0.010719701,0.007063626,0.02156477,0.0024978768],"domain_scores_gemma":[0.3235496,0.605925,0.023161702,0.023665536,0.021804512,0.0018936672],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.29412487,0.0030171517,0.0021141355,0.014005366,0.002625872,0.012964661,0.0030897153,0.004230874,0.009877407],"category_scores_gemma":[0.4821798,0.0017897409,0.0040683346,0.014165,0.010170498,0.015016512,0.008978472,0.005295476,0.0010555615],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007198097,0.0004224938,0.015753014,0.004792891,0.00074608123,0.00033714448,0.008144957,0.035219174,0.00096923765,0.51605105,0.00605068,0.41079342],"study_design_scores_gemma":[0.0005543648,0.0015916433,0.008024503,0.00580179,0.00063711865,0.00073140016,0.005364205,0.17105392,0.0034733023,0.76508373,0.037241295,0.00044277296],"about_ca_topic_score_codex":0.0023752202,"about_ca_topic_score_gemma":0.002646128,"teacher_disagreement_score":0.70587516,"about_ca_system_score_codex":0.012186782,"about_ca_system_score_gemma":0.02004419,"threshold_uncertainty_score":0.8704697},"labels":[],"label_agreement":null},{"id":"W2120962896","doi":"10.1177/0272989x12458457","title":"The Impact of Using Informative Priors in a Bayesian Cost-Effectiveness Analysis","year":2012,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; St. Joseph’s Healthcare Hamilton; Programs for Assessment of Technology in Health Research Institute","funders":"","keywords":"Prior probability; Bayesian probability; Bootstrapping (finance); Frequentist inference; Nonparametric statistics; Computer science; Econometrics; Statistics; Machine learning; Bayesian inference; Artificial intelligence; Mathematics","score_opus":0.33291262287449563,"score_gpt":0.5373039471839247,"score_spread":0.20439132430942908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120962896","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10020079,0.010037062,0.8705428,0.007339606,0.00025479167,0.0018201804,0.00053479016,0.0002264738,0.009043527],"genre_scores_gemma":[0.70138854,0.0026229813,0.29197136,0.0016397237,0.00022831884,0.0014282638,0.00021677466,0.00007826209,0.00042575147],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.63285726,0.3414833,0.0064869025,0.0044630263,0.01366084,0.0010486448],"domain_scores_gemma":[0.1928075,0.7856529,0.010973828,0.0069123106,0.0031971284,0.00045637935],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.26104578,0.0024973834,0.0027868622,0.003043811,0.00079001044,0.005229095,0.0029470117,0.0035390935,0.0035747983],"category_scores_gemma":[0.53123736,0.0014474688,0.0059155226,0.0026858158,0.0034274943,0.0071461173,0.0043378053,0.006981023,0.00023135397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00748721,0.0005916564,0.018313663,0.0039019694,0.010118584,0.00054664613,0.000856062,0.6640558,0.0017547162,0.09437284,0.001904029,0.19609682],"study_design_scores_gemma":[0.0020147772,0.0030242214,0.009498265,0.0030173624,0.00757246,0.0006739943,0.0003374696,0.7090042,0.0032117264,0.2570198,0.004235248,0.00039052163],"about_ca_topic_score_codex":0.002790664,"about_ca_topic_score_gemma":0.0022867282,"teacher_disagreement_score":0.7389542,"about_ca_system_score_codex":0.0041340366,"about_ca_system_score_gemma":0.0037294412,"threshold_uncertainty_score":0.9112621},"labels":[],"label_agreement":null},{"id":"W2121161686","doi":"10.1177/0272989x14563082","title":"The Need for Transparency and Efficiency in Reimbursement Decisions Relating to Drugs for Rare Diseases","year":2014,"lang":"en","type":"letter","venue":"Medical Decision Making","topic":"Complement system in diseases","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kingston General Hospital; Health Sciences Centre; Queen's University; University of Ottawa; Sunnybrook Health Science Centre","funders":"","keywords":"Transparency (behavior); Reimbursement; Actuarial science; External validity; Medicine; Psychology; Risk analysis (engineering); Social psychology; Business; Economics; Computer science; Health care","score_opus":0.031043579037847612,"score_gpt":0.3294900109060802,"score_spread":0.2984464318682326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121161686","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005468709,0.00053252483,0.00044623276,0.9963109,0.001173284,0.000006478639,0.000005262919,0.000008878301,0.0009695784],"genre_scores_gemma":[0.029573344,0.0011019823,0.0021858844,0.9485267,0.017873067,0.00004239347,0.000012326666,0.000026671774,0.0006575852],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9043165,0.056275107,0.009539649,0.0044685095,0.021113096,0.0042870985],"domain_scores_gemma":[0.63386637,0.3112822,0.016119402,0.008249344,0.021155804,0.009326837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.056008972,0.00047233567,0.0014242465,0.0011559911,0.0050887014,0.009850275,0.004435584,0.06299833,0.0035040712],"category_scores_gemma":[0.23590462,0.0009118832,0.0017872569,0.001663629,0.016088119,0.012935636,0.00417831,0.06424727,0.0022607753],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024907538,0.00014069887,0.0045028236,0.00038171728,0.00008970939,0.0077689555,0.0031722602,0.0011344526,0.00055897207,0.072073646,0.8251093,0.084818445],"study_design_scores_gemma":[0.00024230985,0.00039089227,0.0050722314,0.0023741308,0.00008372966,0.018546578,0.0042753555,0.00596199,0.0011693544,0.22420903,0.73726964,0.0004047209],"about_ca_topic_score_codex":0.0035594653,"about_ca_topic_score_gemma":0.0053053666,"teacher_disagreement_score":0.06299833,"about_ca_system_score_codex":0.011752057,"about_ca_system_score_gemma":0.01092002,"threshold_uncertainty_score":0.2962073},"labels":[],"label_agreement":null},{"id":"W2121206416","doi":"10.1177/0272989x14520719","title":"Response to “The Life Table Method of Half-Cycle Correction: Getting It Right”","year":2014,"lang":"en","type":"letter","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Table (database); Computer science; Statistics; Mathematics; Data mining","score_opus":0.23034348677672625,"score_gpt":0.4611532655172139,"score_spread":0.23080977874048766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121206416","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00017089339,0.0003203655,0.00020786152,0.98660207,0.011303629,0.000031916687,0.00011313453,0.00003185687,0.0012182519],"genre_scores_gemma":[0.0008168539,0.0001221383,0.00022569635,0.987698,0.007451412,0.00006920223,0.000017628947,0.000021851378,0.003577189],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98857236,0.003857098,0.0016098493,0.0015422684,0.0027171401,0.0017012059],"domain_scores_gemma":[0.9665796,0.021206293,0.0026159517,0.00082813896,0.006040612,0.0027294857],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.015117965,0.0014416408,0.00220996,0.0013505972,0.007985339,0.0065577603,0.0042995512,0.09720595,0.0111614885],"category_scores_gemma":[0.09119571,0.0020483043,0.0026864826,0.001359784,0.005706186,0.0048124692,0.0035942427,0.070956774,0.009297566],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060253846,0.000017452503,0.0003337952,0.00003435306,0.000015812002,0.0003215818,0.00014885164,0.000046010922,0.000061991326,0.0019534372,0.99335665,0.0036497812],"study_design_scores_gemma":[0.00023741767,0.00009203588,0.0024293582,0.00081176934,0.000098993434,0.00061540416,0.00095557125,0.00089667854,0.0004651547,0.011328928,0.9819087,0.0001600228],"about_ca_topic_score_codex":0.029188147,"about_ca_topic_score_gemma":0.04453284,"teacher_disagreement_score":0.98488206,"about_ca_system_score_codex":0.009555066,"about_ca_system_score_gemma":0.011811261,"threshold_uncertainty_score":0.07995236},"labels":[],"label_agreement":null},{"id":"W2122615848","doi":"10.1177/0272989x0102100305","title":"What Should Be Reported in a Methods Section on Utility Assessment?","year":2001,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Cronbach's alpha; Computer science; Scale (ratio); Reliability (semiconductor); Section (typography); Operations research; Risk analysis (engineering); Medicine; Statistics; Psychometrics; Mathematics","score_opus":0.6577698216773527,"score_gpt":0.6160409168506167,"score_spread":0.04172890482673597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122615848","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":"reporting","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":"reporting","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010314786,0.050776273,0.42198515,0.1841563,0.13512339,0.09715198,0.045215037,0.007113,0.0481641],"genre_scores_gemma":[0.027204141,0.026571132,0.54116297,0.084435135,0.027707055,0.25056344,0.019770589,0.002953646,0.019632038],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.7652911,0.1665956,0.04333398,0.0049479934,0.017709022,0.0021224152],"domain_scores_gemma":[0.4144158,0.40139255,0.03717692,0.047471475,0.09537548,0.0041677617],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.20555541,0.0039612786,0.0036338659,0.007858499,0.0020967717,0.00736165,0.0035985028,0.007638331,0.06711902],"category_scores_gemma":[0.53967863,0.0018673455,0.0067298743,0.0063057034,0.0027518913,0.0061545814,0.003008162,0.0052658706,0.026741922],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020577123,0.0006291615,0.0037551378,0.05649955,0.0007010802,0.0004405982,0.0022079044,0.00069913425,0.0019278486,0.017705115,0.49589247,0.41748422],"study_design_scores_gemma":[0.00070448697,0.0007226378,0.0079779895,0.060175218,0.00058760855,0.00062136917,0.0010726629,0.0016624663,0.0036131167,0.023060462,0.8995446,0.00025731354],"about_ca_topic_score_codex":0.0013392708,"about_ca_topic_score_gemma":0.0011712578,"teacher_disagreement_score":0.79444456,"about_ca_system_score_codex":0.0051711053,"about_ca_system_score_gemma":0.013960437,"threshold_uncertainty_score":0.9796916},"labels":[],"label_agreement":null},{"id":"W2123466484","doi":"10.1177/027298902236943","title":"What Accounts for the Appeal of Complementary/Alternative Medicine, and What Makes Complementary/Alternative Medicine \"Alternative\"?","year":2002,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Complementary and Alternative Medicine Studies","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Appeal; Alternative medicine; Medicine; Dimension (graph theory); Psychology; Mathematics; Pathology","score_opus":0.1512226850698555,"score_gpt":0.42547322137361376,"score_spread":0.2742505363037583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123466484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6733537,0.08398876,0.036465637,0.08301698,0.0014112798,0.00030183236,0.00037426854,0.0001539221,0.12093358],"genre_scores_gemma":[0.9888298,0.0044132913,0.0030899954,0.00228706,0.00056844525,0.00004669123,0.000061739316,0.000016036845,0.00068701414],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.9972801,0.0012987199,0.00016161181,0.00025169237,0.00082797074,0.00018000409],"domain_scores_gemma":[0.9753176,0.016004633,0.0046956823,0.0010579416,0.0020838056,0.000840316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060652727,0.00042023175,0.0006635016,0.0035207623,0.0011827366,0.0045764074,0.00095276255,0.001930519,0.0051336074],"category_scores_gemma":[0.031140666,0.0002887088,0.00088945735,0.0020118025,0.005215725,0.0052729063,0.0011677786,0.0012346574,0.0003967474],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006411709,0.000764245,0.2167555,0.0041144714,0.0010566453,0.0009764976,0.024169384,0.0023703773,0.0019807266,0.31079277,0.013421135,0.422957],"study_design_scores_gemma":[0.00017203228,0.0004647982,0.2850587,0.0019334077,0.00072923023,0.003093318,0.02561364,0.016732235,0.0006795193,0.62193596,0.043362603,0.0002245976],"about_ca_topic_score_codex":0.0031311794,"about_ca_topic_score_gemma":0.0035647408,"teacher_disagreement_score":0.0060652727,"about_ca_system_score_codex":0.0020987901,"about_ca_system_score_gemma":0.0015307539,"threshold_uncertainty_score":0.032076657},"labels":[],"label_agreement":null},{"id":"W2123512569","doi":"10.1177/0272989x14559729","title":"Psst, Have I Got a Model for You . . .","year":2014,"lang":"en","type":"editorial","venue":"Medical Decision Making","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science","score_opus":0.11254584941191156,"score_gpt":0.49519890766808483,"score_spread":0.38265305825617324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123512569","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000021383637,0.0064742044,0.0004161878,0.08687348,0.90498155,0.000013460099,0.000087956636,0.00006197269,0.001069825],"genre_scores_gemma":[0.0008466859,0.012747552,0.0005361648,0.05202532,0.9197534,0.000040911225,0.00011342368,0.00008357008,0.013852997],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9943506,0.0015878837,0.00080932566,0.0004880537,0.0025642335,0.0001998783],"domain_scores_gemma":[0.9600274,0.022893226,0.0012421241,0.0010014642,0.011865165,0.0029706114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009867805,0.0026910524,0.0033878847,0.0027053966,0.0023390206,0.008113906,0.0034162824,0.016784796,0.017641455],"category_scores_gemma":[0.067765586,0.0010068796,0.0035217095,0.0015603936,0.002869391,0.0053660977,0.0015536019,0.028163936,0.0113117695],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014184773,0.0000043007594,0.000009345416,0.000120616576,0.000015333666,0.000026881542,0.0000066456773,0.000039965584,0.000009723147,0.00049577456,0.9959714,0.0032857368],"study_design_scores_gemma":[0.000062802814,0.000021738124,0.000095112715,0.0006831587,0.000075395,0.00016427078,0.00004354927,0.0003968531,0.00007048212,0.004972017,0.9933908,0.000023804341],"about_ca_topic_score_codex":0.0033217412,"about_ca_topic_score_gemma":0.007601271,"teacher_disagreement_score":0.017641455,"about_ca_system_score_codex":0.0034546284,"about_ca_system_score_gemma":0.0054428233,"threshold_uncertainty_score":0.059016526},"labels":[],"label_agreement":null},{"id":"W2124095688","doi":"10.1177/0272989x14565820","title":"Value of Genetic Testing for Hereditary Colorectal Cancer in a Probability-Based US Online Sample","year":2015,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Cancer Institute","keywords":"Genetic testing; Hereditary Cancer; Colorectal cancer; Sample (material); Medicine; Value (mathematics); Statistics; Oncology; Computer science; Cancer; Internal medicine; Mathematics","score_opus":0.04497405348664674,"score_gpt":0.35821223145774767,"score_spread":0.31323817797110093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124095688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992169,0.000036721565,0.000067780304,0.00013989385,0.0000012737977,0.000011429464,0.00018099105,0.0000013198179,0.00034369377],"genre_scores_gemma":[0.9996426,0.000026488922,0.00009676031,0.0000676366,0.0000018111285,0.000007795308,0.00011053737,5.107115e-7,0.000045749683],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983006,0.0010213348,0.0001296451,0.00015806957,0.00026561038,0.00012482386],"domain_scores_gemma":[0.9909956,0.004617289,0.0027720688,0.00033821084,0.0005187844,0.0007581588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026858312,0.00015612655,0.00017080453,0.000745535,0.0003472781,0.0008388558,0.0002717338,0.00045076117,0.0028769935],"category_scores_gemma":[0.016827896,0.00009157946,0.000358824,0.0006833334,0.0003781327,0.0006406353,0.0006093029,0.00046560634,0.000246892],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003617854,0.00028021482,0.99257445,0.000024672796,0.00008252353,0.000120317476,0.000623655,0.0003749621,0.0001290669,0.00013594572,0.00042115024,0.004871176],"study_design_scores_gemma":[0.00003685904,0.00063768605,0.9907492,0.0000422516,0.000078454104,0.0006800615,0.0024915563,0.0039280476,0.0002299127,0.00044263212,0.00066358707,0.000019743902],"about_ca_topic_score_codex":0.0043585626,"about_ca_topic_score_gemma":0.0036360922,"teacher_disagreement_score":0.0043585626,"about_ca_system_score_codex":0.000549387,"about_ca_system_score_gemma":0.0002895043,"threshold_uncertainty_score":0.014204204},"labels":[],"label_agreement":null},{"id":"W2124392780","doi":"10.1177/0272989x10395029","title":"Information for Decision Making by Patients With Early-Stage Prostate Cancer","year":2011,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"","keywords":"Developing country; Medicine; Psychology; Demography; Family medicine; Economic growth; Economics; Sociology","score_opus":0.12380627893514994,"score_gpt":0.4328348681376491,"score_spread":0.30902858920249915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124392780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916523,0.0024250373,0.00026046397,0.0019573278,0.000033004526,0.00003810114,0.00015693424,0.000010010995,0.0034668269],"genre_scores_gemma":[0.9981816,0.00066490046,0.0005174089,0.00036579676,0.000014318149,0.000018661638,0.00006808472,0.0000017905719,0.00016754857],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99559045,0.0034362935,0.00026461337,0.00008604783,0.00033242977,0.00029015203],"domain_scores_gemma":[0.9809823,0.012655795,0.004022032,0.00024958543,0.00079227594,0.0012980141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039520254,0.00029228014,0.0003510942,0.00082138035,0.00085107645,0.0017144228,0.00031115083,0.0007958482,0.004013864],"category_scores_gemma":[0.026261069,0.00016368087,0.0004717858,0.00075227534,0.0007486124,0.0013389712,0.0010823765,0.0010194945,0.00040991194],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017836883,0.0005156505,0.80942976,0.0012592355,0.00024078516,0.001342532,0.04844202,0.00077310816,0.00097147725,0.00076464465,0.0063932245,0.12808381],"study_design_scores_gemma":[0.0004938145,0.0036859857,0.7618732,0.0026452702,0.00041603897,0.010162372,0.17198756,0.0024884935,0.0016670572,0.0023513825,0.042001914,0.00022689605],"about_ca_topic_score_codex":0.0015318707,"about_ca_topic_score_gemma":0.002033277,"teacher_disagreement_score":0.004013864,"about_ca_system_score_codex":0.0007391844,"about_ca_system_score_gemma":0.001082027,"threshold_uncertainty_score":0.020900548},"labels":[],"label_agreement":null},{"id":"W2124968614","doi":"10.1177/0272989x0002000403","title":"Patient Preference-based Treatment Thresholds and Recommendations","year":2000,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Aspirin; Stroke (engine); Medicine; Myocardial infarction; Minor stroke; Physical therapy; Internal medicine","score_opus":0.044109027906295915,"score_gpt":0.3231085061340767,"score_spread":0.2789994782277808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124968614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.513792,0.006858858,0.36901113,0.032165755,0.00037990842,0.0028710694,0.0032852073,0.00034894922,0.07128702],"genre_scores_gemma":[0.9484535,0.0005453887,0.048668474,0.0011391229,0.00006711867,0.0005582956,0.00028972863,0.00001711181,0.000261247],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9128519,0.07412487,0.0031622194,0.0020286648,0.00686206,0.0009701876],"domain_scores_gemma":[0.80630136,0.17393708,0.008770093,0.0037522246,0.0057639247,0.0014753107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.050648604,0.0007894668,0.0012411476,0.0020462712,0.0005204954,0.00350236,0.0012687118,0.0020561784,0.0068739103],"category_scores_gemma":[0.18756616,0.0004698161,0.0017010343,0.0016617617,0.0015464703,0.002860613,0.0013303156,0.0030514405,0.00061262236],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0064721312,0.0016223668,0.13446365,0.0032889545,0.0031339787,0.00043469633,0.003937822,0.18545578,0.0010273926,0.11994633,0.016537346,0.52367955],"study_design_scores_gemma":[0.0028833926,0.0039331852,0.055733588,0.002710508,0.0012842974,0.001281123,0.0033104352,0.3905424,0.002187167,0.514963,0.020703398,0.00046751316],"about_ca_topic_score_codex":0.0018448612,"about_ca_topic_score_gemma":0.0012060542,"teacher_disagreement_score":0.050648604,"about_ca_system_score_codex":0.0038903018,"about_ca_system_score_gemma":0.0034742695,"threshold_uncertainty_score":0.26785862},"labels":[],"label_agreement":null},{"id":"W2125389120","doi":"10.1177/0272989x04265483","title":"From Diagnostic Accuracy to Accurate Diagnosis: Interpreting a Test Result with Confidence","year":2004,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Statistics; Confidence interval; Logit; Logistic regression; Statement (logic); Transformation (genetics); Computer science; Sample (material); Positive predicative value; Test (biology); Econometrics; Diagnostic accuracy; Pre- and post-test probability; Mathematics; Data mining; Predictive value; Medicine","score_opus":0.202435274144168,"score_gpt":0.48219096307565,"score_spread":0.279755688931482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125389120","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03581131,0.0100727305,0.91473275,0.018699996,0.0010405614,0.0007251567,0.00070242083,0.00070401386,0.017511073],"genre_scores_gemma":[0.64654344,0.0027883113,0.34610143,0.002312664,0.00062230526,0.00094780244,0.0002588347,0.00010003407,0.00032518254],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.808347,0.13973282,0.015280256,0.0050079753,0.030324645,0.001307203],"domain_scores_gemma":[0.4136822,0.51732075,0.02694838,0.019307269,0.020835914,0.00190548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.10446371,0.001124315,0.0014627305,0.008369097,0.00086821924,0.006436898,0.003062572,0.0031467255,0.0039576245],"category_scores_gemma":[0.57823634,0.00055962557,0.0010708348,0.005275483,0.010414972,0.005828041,0.006142,0.0043875948,0.0008862634],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013239252,0.00021723875,0.055966422,0.0052410667,0.00073805614,0.0008964147,0.005641837,0.017838437,0.00223583,0.24873571,0.017039718,0.6441252],"study_design_scores_gemma":[0.00022892086,0.0010688386,0.025901977,0.005670097,0.0007554104,0.004295266,0.0028812229,0.08248228,0.011060398,0.8356869,0.02956045,0.00040813367],"about_ca_topic_score_codex":0.0015507046,"about_ca_topic_score_gemma":0.00069316936,"teacher_disagreement_score":0.10446371,"about_ca_system_score_codex":0.0031295014,"about_ca_system_score_gemma":0.0036111204,"threshold_uncertainty_score":0.55246353},"labels":[],"label_agreement":null},{"id":"W2127429441","doi":"10.1177/0272989x0202200315","title":"“You’re Perfect for the Procedure! Why Don’t You Want It?” Elderly Arthritis Patients’ Unwillingness to Consider Total Joint Arthroplasty Surgery: A Qualitative Study","year":2002,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":115,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Western Hospital; Women's College Hospital; Health Sciences Centre; Sunnybrook Health Science Centre; University of Toronto; SickKids Foundation; Hospital for Sick Children; St. Michael's Hospital","funders":"","keywords":"Candidacy; Medicine; Joint arthroplasty; Deliberation; Arthroplasty; Osteoarthritis; Physical therapy; Surgery; Alternative medicine","score_opus":0.26448530451583124,"score_gpt":0.46124874926034554,"score_spread":0.1967634447445143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127429441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968912,0.0002799441,0.00049844646,0.0012053004,0.000019151497,0.0000656622,0.000032269294,0.0000034412276,0.0010047024],"genre_scores_gemma":[0.99780387,0.00043065735,0.0003327094,0.0006347542,0.000009846738,0.00010871446,0.000015673622,0.000003943647,0.00065978034],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99159384,0.006272575,0.00030192922,0.00032412983,0.0005692069,0.00093838293],"domain_scores_gemma":[0.97374356,0.020160299,0.0022996622,0.00039464125,0.0015615968,0.0018402544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016180463,0.0004265997,0.0006183426,0.0010128696,0.0061610597,0.002636778,0.0010470828,0.001512584,0.0024542406],"category_scores_gemma":[0.025042465,0.0006983086,0.00036517918,0.00080275035,0.006072377,0.0036577082,0.0028124806,0.002249102,0.00028858773],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054559627,0.000056725134,0.0050538727,0.000093932074,0.000005629419,0.00046333284,0.99093866,0.000013848139,0.00037477154,0.00026140167,0.0002870571,0.0023961943],"study_design_scores_gemma":[0.000008994572,0.000078116886,0.0015159638,0.00009547233,0.0000053721956,0.00019849469,0.9957307,0.00003928616,0.00011502748,0.00009540925,0.0021074703,0.000009690622],"about_ca_topic_score_codex":0.0069237966,"about_ca_topic_score_gemma":0.009670404,"teacher_disagreement_score":0.016180463,"about_ca_system_score_codex":0.0027225825,"about_ca_system_score_gemma":0.004206041,"threshold_uncertainty_score":0.08557153},"labels":[],"label_agreement":null},{"id":"W2128221807","doi":"10.1177/0272989x07302127","title":"Extrinsic Goals and Time Tradeoff","year":2007,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","score_opus":0.27433173765214913,"score_gpt":0.4680319024412106,"score_spread":0.1937001647890615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128221807","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6961767,0.0035880725,0.02877367,0.008078255,0.0001310845,0.00010175832,0.00021549223,0.00003140689,0.26290354],"genre_scores_gemma":[0.9972938,0.0003007189,0.0011464519,0.00016181792,0.000021247864,0.000025006537,0.000031436648,0.000005988117,0.001013562],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.996469,0.002284948,0.00013522372,0.00023359663,0.00055877626,0.00031853115],"domain_scores_gemma":[0.9798083,0.010400731,0.004993191,0.0008336613,0.0017085086,0.002255641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051093623,0.00030910803,0.00019401197,0.0012434112,0.0008801999,0.0032574588,0.00042087343,0.00067492464,0.005277072],"category_scores_gemma":[0.015815325,0.00011922191,0.00030335697,0.00100197,0.005129583,0.0017725916,0.002439422,0.0012970583,0.0003195248],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040819807,0.00046523553,0.16132794,0.0005915872,0.00014770983,0.0004694757,0.01759459,0.0034290645,0.0006969807,0.7151193,0.0028097965,0.096940205],"study_design_scores_gemma":[0.00008859457,0.00075986463,0.2476295,0.0008270694,0.000113035065,0.0017563428,0.023188457,0.0058041206,0.0012008847,0.6294567,0.08906421,0.00011123095],"about_ca_topic_score_codex":0.00057747663,"about_ca_topic_score_gemma":0.0005862581,"teacher_disagreement_score":0.005277072,"about_ca_system_score_codex":0.0022420785,"about_ca_system_score_gemma":0.0010065895,"threshold_uncertainty_score":0.02702117},"labels":[],"label_agreement":null},{"id":"W2129285512","doi":"10.1177/0272989x03256883","title":"The Impact of Ignoring Population Heterogeneity when Markov Models are Used in Cost-Effectiveness Analysis","year":2003,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Markov model; Psychological intervention; Econometrics; Quality-adjusted life year; Population; Markov chain; Cost-effectiveness analysis; Cost effectiveness; Cost–benefit analysis; Actuarial science; Statistics; Medicine; Economics; Mathematics; Environmental health","score_opus":0.3765691349258113,"score_gpt":0.4999965294025286,"score_spread":0.1234273944767173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129285512","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05434461,0.017185798,0.8903885,0.019549198,0.0010667712,0.0009575937,0.00053075294,0.0005712074,0.015405629],"genre_scores_gemma":[0.7736812,0.00866072,0.2079065,0.0053788866,0.0008934205,0.0012212914,0.00032426819,0.0003118824,0.0016218119],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.6953509,0.28243503,0.0065202033,0.00253321,0.011829478,0.0013311615],"domain_scores_gemma":[0.30796382,0.67301905,0.0083324835,0.007407248,0.0026849555,0.00059238175],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.17689848,0.0014738413,0.0029573108,0.0028024083,0.0010891592,0.005455734,0.002467923,0.002765637,0.0025113344],"category_scores_gemma":[0.43331513,0.0013048453,0.004448409,0.0043506054,0.002451191,0.008162168,0.0032167288,0.0060028327,0.00036857856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021593918,0.00018916816,0.029095333,0.002282302,0.0050765923,0.0012263283,0.0019087105,0.46834627,0.00045964398,0.22094549,0.008854769,0.25945592],"study_design_scores_gemma":[0.0005255738,0.000996961,0.007381581,0.0017616744,0.0021019815,0.0015062575,0.00070472754,0.49365613,0.0010996513,0.48232222,0.007657212,0.00028601632],"about_ca_topic_score_codex":0.0057004616,"about_ca_topic_score_gemma":0.0063672527,"teacher_disagreement_score":0.8231015,"about_ca_system_score_codex":0.0045906855,"about_ca_system_score_gemma":0.003930046,"threshold_uncertainty_score":0.9355398},"labels":[],"label_agreement":null},{"id":"W2130358353","doi":"10.1177/0272989x14528382","title":"Identifying Best-Fitting Inputs in Health-Economic Model Calibration","year":2014,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Cancer Institute","keywords":"Calibration; Pareto principle; Set (abstract data type); Statistics; Measure (data warehouse); Goodness of fit; Computer science; Data set; Mathematics; Econometrics; Mathematical optimization; Data mining","score_opus":0.3501431477793351,"score_gpt":0.4898896560167661,"score_spread":0.139746508237431,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130358353","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.092486516,0.0012325981,0.8980652,0.002014636,0.000064185726,0.0007040202,0.0004093021,0.00035300705,0.0046705958],"genre_scores_gemma":[0.8420452,0.00055546436,0.15501596,0.00046267005,0.00004497374,0.001003965,0.00046388328,0.000097161435,0.0003108105],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.95053184,0.039758995,0.0015140577,0.002924739,0.003971235,0.0012990636],"domain_scores_gemma":[0.8381349,0.14217326,0.008395191,0.005585666,0.0048657707,0.0008451963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0617859,0.0037983996,0.0034236377,0.005762759,0.0013662382,0.004763989,0.003507433,0.0040787696,0.002411371],"category_scores_gemma":[0.2134497,0.0016447455,0.0032676668,0.0040103067,0.0041848323,0.0049645766,0.0056681717,0.0051626493,0.0003060268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015670329,0.00009651899,0.0075478246,0.00029466752,0.00033684677,0.00013173862,0.00020552441,0.9532205,0.00022026831,0.021348573,0.0005784342,0.01586242],"study_design_scores_gemma":[0.000063054875,0.00015347058,0.0021228634,0.00033362836,0.000119512166,0.000071272974,0.00013261204,0.9156923,0.000756371,0.079832815,0.00064779,0.000074271295],"about_ca_topic_score_codex":0.005951918,"about_ca_topic_score_gemma":0.002790027,"teacher_disagreement_score":0.0617859,"about_ca_system_score_codex":0.0063142716,"about_ca_system_score_gemma":0.00521315,"threshold_uncertainty_score":0.32675892},"labels":[],"label_agreement":null},{"id":"W2132708603","doi":"10.1177/0272989x12455463","title":"State-Transition Modeling","year":2012,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":342,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Computer science; Microsimulation; Markov model; Decision model; Psychological intervention; Set (abstract data type); Decision analysis; Risk analysis (engineering); State (computer science); Management science; Markov chain; Monte Carlo method; Medicine; Machine learning; Engineering; Mathematics; Algorithm; Statistics","score_opus":0.3828859167539311,"score_gpt":0.4790400401415357,"score_spread":0.0961541233876046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132708603","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006770125,0.00091687404,0.9487372,0.0015636847,0.0002650769,0.00028741657,0.0048164097,0.0010791029,0.035564125],"genre_scores_gemma":[0.589843,0.003425453,0.32713804,0.0010494273,0.0005145425,0.0019060718,0.00990941,0.00053191214,0.06568218],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99813396,0.0006977037,0.00011707489,0.00049682,0.0003166193,0.00023785286],"domain_scores_gemma":[0.9952324,0.0031200126,0.00041749107,0.00035406338,0.0007005509,0.00017543026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025685912,0.0012130487,0.0015098684,0.0014671779,0.0009571461,0.0031669454,0.0029368598,0.0021233086,0.033863325],"category_scores_gemma":[0.011143456,0.00062587316,0.0022304761,0.0019221122,0.0009662833,0.0026124849,0.0022089279,0.002462179,0.005502055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007009111,0.0000866647,0.0023724174,0.00015485277,0.00009627644,0.00020221819,0.00019370511,0.38529396,0.00022952705,0.5695429,0.0130995875,0.028657837],"study_design_scores_gemma":[0.00003011572,0.000027685015,0.00032131627,0.000049077513,0.00005008693,0.00007033087,0.00004656809,0.7301262,0.00014883027,0.24770415,0.02140004,0.000025570314],"about_ca_topic_score_codex":0.014538688,"about_ca_topic_score_gemma":0.009038362,"teacher_disagreement_score":0.033863325,"about_ca_system_score_codex":0.0019095486,"about_ca_system_score_gemma":0.0030168304,"threshold_uncertainty_score":0.11328417},"labels":[],"label_agreement":null},{"id":"W2133539059","doi":"10.1177/0272989x14526642","title":"The Fallacy of Interpreting Deaths and Driving Distances","year":2014,"lang":"en","type":"editorial","venue":"Medical Decision Making","topic":"Traffic and Road Safety","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; University of Toronto; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research","keywords":"Casual; Notice; Demography; Transport engineering; Geography; Actuarial science; Engineering; Political science; Business; Law; Sociology","score_opus":0.002295697382072704,"score_gpt":0.2491472852735786,"score_spread":0.2468515878915059,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133539059","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000074686905,0.019556573,0.00048616086,0.15903817,0.81940126,0.000013522561,0.00013624664,0.000062939245,0.0012304335],"genre_scores_gemma":[0.0012637165,0.012715691,0.00055513403,0.10358412,0.8790197,0.000030815194,0.00006839611,0.00009660034,0.0026659446],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9636528,0.013788069,0.0063439123,0.0033404347,0.01219288,0.00068192295],"domain_scores_gemma":[0.84545153,0.11432869,0.0035742943,0.0027882967,0.031316075,0.0025411225],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03431317,0.0035135846,0.002884686,0.0055234,0.0036322002,0.010268471,0.007300752,0.017427512,0.0029739877],"category_scores_gemma":[0.16651502,0.0019109206,0.002392333,0.0029691516,0.010265753,0.009794082,0.002617646,0.042314813,0.004909115],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013508731,0.0000072378293,0.00007616687,0.00024379372,0.000031298943,0.000037577112,0.00011535654,0.000044886245,0.000023557084,0.0011899226,0.98958534,0.008631299],"study_design_scores_gemma":[0.000038118855,0.000034477278,0.00077876897,0.002143105,0.000112567046,0.00021409766,0.0003448989,0.00033467857,0.00019624908,0.006057614,0.98967427,0.00007110499],"about_ca_topic_score_codex":0.010656477,"about_ca_topic_score_gemma":0.015209055,"teacher_disagreement_score":0.96568686,"about_ca_system_score_codex":0.0053434535,"about_ca_system_score_gemma":0.00744703,"threshold_uncertainty_score":0.1814676},"labels":[],"label_agreement":null},{"id":"W2134023402","doi":"10.1177/0272989x12454579","title":"Model Transparency and Validation","year":2012,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":791,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Transparency (behavior); Computer science; Face validity; External validity; Rigour; Documentation; Management science; Health care; Medicine; Psychology; Engineering; Psychometrics","score_opus":0.49166679562981086,"score_gpt":0.48999380860289565,"score_spread":0.001672987026915207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134023402","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":"reproducibility","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":"reproducibility","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008590841,0.0021725572,0.8947479,0.023361702,0.0020558867,0.0037940855,0.0029805235,0.0031271535,0.05916926],"genre_scores_gemma":[0.26923236,0.002222865,0.6975401,0.005435149,0.0007435794,0.009727166,0.0050823586,0.0019537348,0.008062692],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.6734943,0.24655877,0.017272245,0.014330168,0.045188714,0.0031558739],"domain_scores_gemma":[0.44030443,0.34615973,0.018826995,0.11569525,0.07662007,0.0023934378],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.25976357,0.0030593697,0.0031454542,0.005503853,0.0033991877,0.016352572,0.00622049,0.0057163513,0.01698703],"category_scores_gemma":[0.5639932,0.00190886,0.006036076,0.004353341,0.0073676384,0.014901176,0.012103299,0.010796813,0.004834762],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004294951,0.00028864926,0.0068847192,0.0033518167,0.00095549173,0.00027876333,0.005833365,0.06437962,0.0010846363,0.6432878,0.053872064,0.21935362],"study_design_scores_gemma":[0.00040943,0.00037483778,0.0026147328,0.007203378,0.00046604406,0.00023683236,0.002049252,0.16160025,0.004036991,0.61499673,0.2056837,0.00032778838],"about_ca_topic_score_codex":0.012665264,"about_ca_topic_score_gemma":0.0074222926,"teacher_disagreement_score":0.7402364,"about_ca_system_score_codex":0.009761242,"about_ca_system_score_gemma":0.03809229,"threshold_uncertainty_score":0.9128433},"labels":[],"label_agreement":null},{"id":"W2134799417","doi":"10.1177/0272989x11421529","title":"Systematic Review and Empirical Comparison of Contemporaneous EQ-5D and SF-6D Group Mean Scores","year":2011,"lang":"en","type":"review","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Comparability; EQ-5D; Statistics; Preference; Psychology; SF-36; Medicine; Econometrics; Demography; Health related quality of life; Mathematics","score_opus":0.698916839044423,"score_gpt":0.529984587193883,"score_spread":0.16893225185054006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134799417","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0044720266,0.98911625,0.0011922345,0.00041161242,0.00021200968,0.0017662394,0.0021418827,0.000025204148,0.0006625129],"genre_scores_gemma":[0.110060655,0.87190413,0.0052551734,0.0013365687,0.00026578043,0.008478011,0.0023583034,0.000040540148,0.000300912],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.92631227,0.027262833,0.028185302,0.004866703,0.012478725,0.0008941617],"domain_scores_gemma":[0.7342999,0.20461999,0.041883145,0.005223216,0.013189028,0.0007847854],"candidate_categories":["metaresearch","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.04852915,0.0020628516,0.013949144,0.02280677,0.0009462413,0.0043075955,0.003373953,0.0024641845,0.0049119503],"category_scores_gemma":[0.2562469,0.0015261263,0.011841286,0.02094457,0.002060143,0.0041870447,0.0024702004,0.0016702565,0.00053614017],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024057052,0.000013754548,0.002950119,0.945804,0.03136202,0.00011510195,0.0001734689,0.00014213966,0.00009591235,0.00035202425,0.00090125034,0.017849566],"study_design_scores_gemma":[0.00036981632,0.00024519782,0.010660959,0.84136754,0.13655287,0.00037526985,0.0003612216,0.00013944968,0.00022343046,0.0007904171,0.008865808,0.000048081925],"about_ca_topic_score_codex":0.0066375276,"about_ca_topic_score_gemma":0.014164453,"teacher_disagreement_score":0.98605084,"about_ca_system_score_codex":0.0062408927,"about_ca_system_score_gemma":0.014751612,"threshold_uncertainty_score":0.25664973},"labels":[],"label_agreement":null},{"id":"W2135388962","doi":"10.1177/0272989x07306781","title":"Can Computerized Decision Support Help Patients Make Complex Treatment Decisions? A Randomized Controlled Trial of an Individualized Menopause Decision Aid","year":2007,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Agency for Healthcare Research and Quality","keywords":"Coaching; Randomized controlled trial; Medicine; Physical therapy; Decision aids; Patient satisfaction; Intervention (counseling); Menopause; Patient education; Family medicine; Nursing; Psychology; Alternative medicine; Internal medicine","score_opus":0.14623062078939802,"score_gpt":0.45932080891479476,"score_spread":0.31309018812539674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135388962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98433614,0.0028175714,0.0006151865,0.0012658347,0.0007440592,0.008157603,0.0003987688,0.00007982548,0.0015850995],"genre_scores_gemma":[0.9721568,0.001916482,0.0037418192,0.0012388497,0.00081422593,0.018283393,0.0003473431,0.000010932559,0.0014900666],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99607015,0.0027305684,0.00037047578,0.0003794741,0.00020718858,0.00024207328],"domain_scores_gemma":[0.992664,0.0045848447,0.0012768033,0.0003281536,0.00016920565,0.0009769528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040156525,0.0010823342,0.0023719673,0.0006313391,0.00068112725,0.0013482891,0.0011013335,0.0028544825,0.011485811],"category_scores_gemma":[0.012038356,0.00081707863,0.0017828709,0.0006028389,0.0013289611,0.0013824761,0.000741626,0.0029685448,0.00068004214],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9480068,0.02952123,0.00071806496,0.00079576625,0.0008063557,0.000023343233,0.00008424817,0.00031551256,0.00024061995,0.00010589615,0.00034940866,0.01903278],"study_design_scores_gemma":[0.9444508,0.05326819,0.0009528716,0.000060347716,0.0003749027,0.0000065921863,0.000026136808,0.00038963716,0.00009185682,0.000093706505,0.00027659215,0.000008354112],"about_ca_topic_score_codex":0.0014208847,"about_ca_topic_score_gemma":0.0016864481,"teacher_disagreement_score":0.011485811,"about_ca_system_score_codex":0.00090976997,"about_ca_system_score_gemma":0.0018820273,"threshold_uncertainty_score":0.038423896},"labels":[],"label_agreement":null},{"id":"W2136024222","doi":"10.1177/0272989x07309644","title":"A Second-Order Simulation Model of the Cost-Effectiveness of Managing Dyspepsia in the United States","year":2007,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Helicobacter pylori-related gastroenterology studies","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Guideline; Randomized controlled trial; Population; Psychological intervention; Helicobacter pylori; Cost effectiveness; Endoscopy; Quality of life (healthcare); Intensive care medicine; Internal medicine; Environmental health; Pathology; Risk analysis (engineering)","score_opus":0.043515462851865395,"score_gpt":0.36580463102823757,"score_spread":0.32228916817637215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136024222","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5960895,0.0055832216,0.32457945,0.011357115,0.00061484036,0.001076483,0.008428898,0.00053476513,0.051735822],"genre_scores_gemma":[0.96568567,0.0017050874,0.01582486,0.0007148752,0.00012160697,0.0010520378,0.0016699017,0.000047890135,0.013178206],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974486,0.0017759351,0.00008060469,0.0002449018,0.00016777268,0.0002821613],"domain_scores_gemma":[0.9855123,0.0120372195,0.0009570453,0.000243446,0.00085464714,0.00039528846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051623923,0.0015739151,0.0020725352,0.0019034649,0.0007188106,0.0025258174,0.0023190968,0.0034833797,0.008582463],"category_scores_gemma":[0.020049086,0.0010655182,0.0029784732,0.0016929996,0.0014577473,0.0017026293,0.0013819574,0.0020013798,0.00060876453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019029868,0.000043796208,0.0015178815,0.00004393015,0.00007760617,0.00006835898,0.000037087706,0.9863674,0.000040925974,0.009670475,0.00056167005,0.0013805372],"study_design_scores_gemma":[0.00015507369,0.000077671655,0.00062709866,0.000028301169,0.00007024963,0.00002854567,0.000031745538,0.99141324,0.000025673653,0.007069536,0.00045513062,0.00001785019],"about_ca_topic_score_codex":0.060626764,"about_ca_topic_score_gemma":0.016245248,"teacher_disagreement_score":0.060626764,"about_ca_system_score_codex":0.0035025412,"about_ca_system_score_gemma":0.0026297122,"threshold_uncertainty_score":0.12054777},"labels":[],"label_agreement":null},{"id":"W2137387795","doi":"10.1177/0272989x06297395","title":"A Little Planning Goes a Long Way: Multilevel Allocation of HIV Prevention Resources","year":2007,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Institute on Drug Abuse","keywords":"Resource allocation; Actuarial science; Business; Human immunodeficiency virus (HIV); Yield (engineering); Economics; Public economics; Computer science; Medicine; Computer network","score_opus":0.05039823766169159,"score_gpt":0.42572724314820304,"score_spread":0.37532900548651144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137387795","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32329756,0.015063901,0.53184664,0.07567575,0.0005620872,0.0011448713,0.0007424415,0.00055395684,0.051112745],"genre_scores_gemma":[0.914898,0.0018001717,0.079144254,0.0018890116,0.00009079304,0.00027000453,0.00010112596,0.00006477445,0.0017419417],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9870411,0.010514083,0.00019761962,0.00057603494,0.0007093822,0.00096168014],"domain_scores_gemma":[0.9903932,0.006491608,0.0009779267,0.00073456013,0.0006415963,0.0007611156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008942344,0.0006963349,0.0011948711,0.0008883541,0.001292783,0.003207486,0.0017523068,0.0015130377,0.004460124],"category_scores_gemma":[0.018782882,0.0006903793,0.001437179,0.0016158228,0.0025182469,0.0051446655,0.0028765793,0.0030551911,0.00026630337],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008149178,0.00046453634,0.024354313,0.001454234,0.0015124367,0.00028024093,0.0014043055,0.5681532,0.0020934,0.16611879,0.011286904,0.22206266],"study_design_scores_gemma":[0.00035164502,0.0016620068,0.025806004,0.0014546927,0.0008625429,0.0002044008,0.0031444442,0.38568494,0.0030368085,0.53998834,0.03756199,0.00024219457],"about_ca_topic_score_codex":0.015462332,"about_ca_topic_score_gemma":0.025849704,"teacher_disagreement_score":0.015462332,"about_ca_system_score_codex":0.006950253,"about_ca_system_score_gemma":0.006664529,"threshold_uncertainty_score":0.050427914},"labels":[],"label_agreement":null},{"id":"W2138858328","doi":"10.1177/0272989x11416870","title":"Bridging Health Technology Assessment (HTA) and Efficient Health Care Decision Making with Multicriteria Decision Analysis (MCDA)","year":2011,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":168,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Multiple-criteria decision analysis; Health technology; Decision analysis; Management science; Medicine; Consistency (knowledge bases); Health care; Transparency (behavior); Actuarial science; Operations research; Computer science; Statistics; Mathematics; Engineering; Business; Economics","score_opus":0.2001476001113418,"score_gpt":0.47856238755398384,"score_spread":0.27841478744264203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138858328","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031527247,0.0069548776,0.91524446,0.023597974,0.00041623678,0.0071465457,0.00025107738,0.0002826042,0.014579105],"genre_scores_gemma":[0.13825902,0.0015954723,0.8553949,0.0012587328,0.00017539847,0.0030341088,0.000075266624,0.000031043044,0.00017609201],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.61791915,0.3432211,0.011758171,0.006400322,0.017875843,0.0028253486],"domain_scores_gemma":[0.5200148,0.42869657,0.015631532,0.01590518,0.016704177,0.0030476619],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.24594891,0.002969317,0.0046687596,0.011489461,0.004988455,0.012733451,0.005698062,0.0049178135,0.0041978564],"category_scores_gemma":[0.28931886,0.001905323,0.004222973,0.00881655,0.011546357,0.008237208,0.017461602,0.007224619,0.00051872036],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008795857,0.0013286775,0.010408747,0.019322257,0.0029174068,0.0007367722,0.026691994,0.12546076,0.0028397883,0.26510128,0.007638803,0.5366739],"study_design_scores_gemma":[0.0008957663,0.0012817795,0.005398537,0.014278904,0.0009008791,0.0003849442,0.009860716,0.18371023,0.0032762866,0.73262453,0.04684077,0.0005465773],"about_ca_topic_score_codex":0.010676524,"about_ca_topic_score_gemma":0.015154358,"teacher_disagreement_score":0.24594891,"about_ca_system_score_codex":0.019826936,"about_ca_system_score_gemma":0.049422424,"threshold_uncertainty_score":0.92987925},"labels":[],"label_agreement":null},{"id":"W2139793607","doi":"10.1177/0272989x12454578","title":"Dynamic Transmission Modeling","year":2012,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":145,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Public Health Ontario; University of Toronto; Western University","funders":"","keywords":"Transmission (telecommunications); Population; Disease transmission; Set (abstract data type); Computer science; Communicable disease; Risk analysis (engineering); Medicine; Virology; Environmental health; Public health; Telecommunications","score_opus":0.2676586335729907,"score_gpt":0.4942500310837464,"score_spread":0.2265913975107557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139793607","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017780319,0.0013103925,0.89017814,0.003522351,0.0003815466,0.00017462212,0.0025678207,0.00051064027,0.08357416],"genre_scores_gemma":[0.7089734,0.003980598,0.15745737,0.0008440128,0.0005323109,0.0007782045,0.0033953611,0.0004262067,0.12361261],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912363,0.00034662418,0.000050480077,0.0001885791,0.00017105095,0.00011967765],"domain_scores_gemma":[0.99782336,0.0013017748,0.00027435337,0.00014115903,0.00033612136,0.0001232869],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012325993,0.0009752436,0.0010585412,0.0012474884,0.0008780805,0.0023695256,0.0029264856,0.0023796773,0.019562338],"category_scores_gemma":[0.006244099,0.00048302952,0.0012151223,0.0013888426,0.00074232573,0.002625973,0.0015459902,0.001736287,0.0029969125],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003856168,0.00006214486,0.00116325,0.00009503898,0.00004915674,0.00020356607,0.00022727746,0.547557,0.00040327923,0.42496997,0.008225845,0.017004877],"study_design_scores_gemma":[0.000011375056,0.000015602966,0.00018061366,0.000023825332,0.000016237364,0.00008692284,0.000045895104,0.9049967,0.00008021664,0.0833517,0.01117707,0.000013858758],"about_ca_topic_score_codex":0.012868895,"about_ca_topic_score_gemma":0.00653925,"teacher_disagreement_score":0.019562338,"about_ca_system_score_codex":0.0015370621,"about_ca_system_score_gemma":0.0013987354,"threshold_uncertainty_score":0.0654425},"labels":[],"label_agreement":null},{"id":"W2140349292","doi":"10.1177/0272989x0102100506","title":"Optimal Investment in a Portfolio of HIV Prevention Programs","year":2001,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"HIV, Drug Use, Sexual Risk","field":"Medicine","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Institute on Drug Abuse","keywords":"Population; Resource allocation; Actuarial science; Investment (military); Business; Medicine; Economics; Environmental health","score_opus":0.06362461979662012,"score_gpt":0.40015603227547725,"score_spread":0.3365314124788571,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140349292","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60294795,0.0024309217,0.34115115,0.0056524607,0.00015938231,0.001138605,0.0009870268,0.00034873767,0.045183804],"genre_scores_gemma":[0.9423496,0.0008418379,0.0490629,0.00027723325,0.00004541589,0.000432172,0.00022826453,0.000037360765,0.0067252335],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99779165,0.0012936386,0.00006442471,0.00024655453,0.00019836868,0.00040533408],"domain_scores_gemma":[0.9974788,0.0016355496,0.00035513067,0.00008412149,0.00019355021,0.00025276857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002664205,0.0010604943,0.0013678636,0.0011055972,0.0004169913,0.0019775643,0.0012211755,0.0015413095,0.0061975108],"category_scores_gemma":[0.011669163,0.0008140051,0.00054144004,0.00067958544,0.00060519745,0.002533407,0.0014948273,0.0010491208,0.00050878996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037705025,0.00036736732,0.004498352,0.00018678464,0.00017320996,0.00012617106,0.000071377195,0.9206837,0.0008558935,0.025400944,0.0015939884,0.04566521],"study_design_scores_gemma":[0.00027830037,0.00059455604,0.003892489,0.00018411486,0.00017335195,0.00010994442,0.00021474523,0.93838173,0.0010299728,0.051480487,0.0036216427,0.000038610095],"about_ca_topic_score_codex":0.002630489,"about_ca_topic_score_gemma":0.001875707,"teacher_disagreement_score":0.0061975108,"about_ca_system_score_codex":0.0023089424,"about_ca_system_score_gemma":0.0032448263,"threshold_uncertainty_score":0.02073276},"labels":[],"label_agreement":null},{"id":"W2140421779","doi":"10.1177/0272989x08315241","title":"The Half-Cycle Correction Explained: Two Alternative Pedagogical Approaches","year":2008,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":94,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; Health Sciences Centre; Guelph General Hospital; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Computer science; Psychology","score_opus":0.641460467607799,"score_gpt":0.4960213170226308,"score_spread":0.14543915058516815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140421779","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010291738,0.00067776616,0.8980092,0.021314776,0.0017116326,0.00060231343,0.00011749745,0.00210945,0.065165654],"genre_scores_gemma":[0.17788172,0.00094584964,0.77883106,0.007935031,0.0005034424,0.0015354954,0.00009691043,0.0006398517,0.03163059],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9936046,0.0036874202,0.0003527049,0.0006096993,0.001408316,0.00033723656],"domain_scores_gemma":[0.97536474,0.017004076,0.0010628612,0.0029184744,0.0026312764,0.0010185722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0077076945,0.00116192,0.00058699807,0.0016479809,0.001204077,0.0040051066,0.0032684524,0.0034930361,0.021982377],"category_scores_gemma":[0.041764807,0.0005622245,0.0012640397,0.0010616068,0.004669464,0.006144871,0.0043596136,0.0071206805,0.004026199],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028595698,0.00031430784,0.001151831,0.00038305033,0.000019870997,0.00023529855,0.0048589627,0.004789354,0.0019402192,0.6916519,0.029793084,0.26457623],"study_design_scores_gemma":[0.00026263902,0.0004809672,0.0010653245,0.00093650934,0.000043918513,0.0007228462,0.002118579,0.056240637,0.0049937256,0.64822066,0.2847548,0.00015952847],"about_ca_topic_score_codex":0.001392195,"about_ca_topic_score_gemma":0.0021828888,"teacher_disagreement_score":0.021982377,"about_ca_system_score_codex":0.0023798824,"about_ca_system_score_gemma":0.0032597652,"threshold_uncertainty_score":0.07353836},"labels":[],"label_agreement":null},{"id":"W2140728867","doi":"10.1177/0272989x07307272","title":"Are Patient Decision Aids the Best Way to Improve Clinical Decision Making? Report of the IPDAS Symposium","year":2007,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Agency for Healthcare Research and Quality","keywords":"Decision aids; Proposition; Medical decision making; Decision theory; Clinical decision making; Decision analysis; Health care; Optimal decision; Management science; Psychology; Medicine; Computer science; Decision tree; Political science; Alternative medicine; Family medicine; Artificial intelligence; Economics; Epistemology","score_opus":0.15187703525862073,"score_gpt":0.4980633069236943,"score_spread":0.3461862716650736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140728867","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018286303,0.013003188,0.0022236954,0.91854703,0.017951863,0.00011525709,0.00016277695,0.000042246804,0.029667545],"genre_scores_gemma":[0.569661,0.07098821,0.014056459,0.22929382,0.04540867,0.0013389381,0.00064725085,0.00024951878,0.068356164],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.97768164,0.012811305,0.0008951092,0.0009430977,0.0057250527,0.0019438093],"domain_scores_gemma":[0.9447035,0.034808636,0.0019538275,0.0012117986,0.010589392,0.0067329016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06515732,0.00063318334,0.0006801721,0.0008840865,0.0035966549,0.009991354,0.0014109222,0.0059968038,0.00811958],"category_scores_gemma":[0.06890684,0.0005349822,0.00077652786,0.0009956382,0.002772323,0.005567031,0.0060845055,0.01608052,0.0013442156],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045786682,0.0006254175,0.0037440974,0.00094449904,0.000059941583,0.0005068201,0.012609585,0.00059638784,0.001052962,0.03165447,0.7262894,0.22145864],"study_design_scores_gemma":[0.00008731885,0.00030637786,0.0040141186,0.0009388691,0.000045129407,0.00025808858,0.013888361,0.0003677755,0.0013129163,0.005427196,0.97329336,0.00006046047],"about_ca_topic_score_codex":0.0018754695,"about_ca_topic_score_gemma":0.0021328412,"teacher_disagreement_score":0.06515732,"about_ca_system_score_codex":0.004171128,"about_ca_system_score_gemma":0.013244329,"threshold_uncertainty_score":0.34458894},"labels":[],"label_agreement":null},{"id":"W2141146484","doi":"10.1177/0272989x07312709","title":"What Factors Influence Case Managers' Resource Allocation Decisions? A Systematic Review of the Literature","year":2008,"lang":"en","type":"review","venue":"Medical Decision Making","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Systematic review; Resource allocation; Business; Management science; Actuarial science; MEDLINE; Risk analysis (engineering); Psychology; Computer science; Economics; Political science","score_opus":0.06536634993108341,"score_gpt":0.45302657118854295,"score_spread":0.3876602212574595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141146484","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018670108,0.9957891,0.00027239602,0.00088931876,0.00016826013,0.00049560866,0.00014537861,0.0000061724804,0.00036672872],"genre_scores_gemma":[0.031664334,0.9628177,0.0021545058,0.0012309997,0.00017801055,0.0016548799,0.00019611885,0.000007610541,0.00009587904],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.92999303,0.03600397,0.020865308,0.0028241328,0.009217103,0.0010963873],"domain_scores_gemma":[0.71496046,0.22700086,0.036380302,0.0022388336,0.0180544,0.0013651218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.046591207,0.0018090766,0.0067453217,0.02331479,0.0015748228,0.005583909,0.002428309,0.0032692836,0.0029418084],"category_scores_gemma":[0.2199644,0.0020003582,0.0065853065,0.019768428,0.002036841,0.0067117903,0.0021431749,0.0020483208,0.0003418224],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001442327,0.00004848152,0.0027063128,0.90292805,0.0035229223,0.00022157321,0.0018607143,0.00011250522,0.00011797038,0.00080336607,0.0025301406,0.085003704],"study_design_scores_gemma":[0.000100203426,0.00011789386,0.004237704,0.9714256,0.01000331,0.00042337857,0.0019290583,0.00008089755,0.0001240062,0.0004741034,0.011040441,0.000043351254],"about_ca_topic_score_codex":0.010537634,"about_ca_topic_score_gemma":0.030872185,"teacher_disagreement_score":0.046591207,"about_ca_system_score_codex":0.008882229,"about_ca_system_score_gemma":0.04012791,"threshold_uncertainty_score":0.24640077},"labels":[],"label_agreement":null},{"id":"W2143457017","doi":"10.1177/0272989x07300604","title":"A Review and Meta-Analysis of Prostate Cancer Utilities","year":2007,"lang":"en","type":"review","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":102,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Prostate cancer; Affect (linguistics); Quality of life (healthcare); Variance (accounting); Medicine; Actuarial science; Cancer; Computer science; Psychology; Accounting; Nursing; Economics","score_opus":0.7527892240790977,"score_gpt":0.6008747232664101,"score_spread":0.15191450081268754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143457017","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026182327,0.99392277,0.001414379,0.0002893259,0.00017827928,0.0002791832,0.000910945,0.00003872552,0.0003481649],"genre_scores_gemma":[0.1473982,0.84250647,0.005154646,0.0008632046,0.00035694262,0.0017958877,0.0015843236,0.00006107814,0.00027917314],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.96517944,0.023006849,0.0061872057,0.002112967,0.0030122355,0.00050142943],"domain_scores_gemma":[0.9358964,0.053550046,0.0057368255,0.001622796,0.0029113004,0.00028256094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.035194907,0.0037534963,0.018891558,0.014433241,0.00064105,0.004280895,0.0021246315,0.0018675596,0.003382253],"category_scores_gemma":[0.09868644,0.0015650928,0.0528166,0.012841116,0.0007531676,0.0021255638,0.001903783,0.0022911264,0.00031387908],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016104224,0.0000267909,0.0037504123,0.27140993,0.6897769,0.000111554255,0.00006188062,0.0015802275,0.00010075771,0.0003954082,0.0013296277,0.029846072],"study_design_scores_gemma":[0.0005969164,0.00022854915,0.0043451716,0.033636454,0.9561281,0.00018396782,0.000043633183,0.00051814254,0.00012842484,0.00088896323,0.0032638789,0.000037764286],"about_ca_topic_score_codex":0.006492903,"about_ca_topic_score_gemma":0.008635266,"teacher_disagreement_score":0.035194907,"about_ca_system_score_codex":0.0046534375,"about_ca_system_score_gemma":0.004418678,"threshold_uncertainty_score":0.18613064},"labels":[],"label_agreement":null},{"id":"W2143804633","doi":"10.1177/0272989x15595365","title":"Exclusion Criteria in National Health State Valuation Studies","year":2015,"lang":"en","type":"review","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Advancing Health Outcomes; St. Paul's Hospital; University of British Columbia; Simon Fraser University; Vancouver Coastal Health Research Institute; Vancouver Coastal Health","funders":"Canadian Institutes of Health Research; Health Technology Assessment international","keywords":"Valuation (finance); Time-trade-off; Data extraction; Medicine; MEDLINE; Quality-adjusted life year; Inclusion and exclusion criteria; Actuarial science; EQ-5D; Family medicine; Quality of life (healthcare); Health related quality of life; Disease; Alternative medicine; Economics; Political science; Cost effectiveness","score_opus":0.8215206556921038,"score_gpt":0.6539012632462616,"score_spread":0.16761939244584212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143804633","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10964854,0.438472,0.15724653,0.027708473,0.007846011,0.171644,0.03816648,0.00055769907,0.04871028],"genre_scores_gemma":[0.31678918,0.07484625,0.2026477,0.020837374,0.0019970173,0.35582122,0.022454038,0.0003710117,0.0042361873],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.5668345,0.21833871,0.16490574,0.009197183,0.038796328,0.0019275824],"domain_scores_gemma":[0.2542899,0.60444254,0.08481118,0.023079542,0.032055892,0.0013210624],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.33152378,0.0015441388,0.005237336,0.01986247,0.0032567822,0.0047497507,0.0053721936,0.0043677203,0.008465176],"category_scores_gemma":[0.5655857,0.0012912356,0.006265442,0.021914613,0.0045760944,0.0068676732,0.0052994136,0.0032793197,0.00090226345],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0045834444,0.0003273993,0.05556949,0.5146548,0.009289905,0.0030279092,0.022923678,0.0016376132,0.0009064305,0.069950014,0.04117398,0.27595532],"study_design_scores_gemma":[0.0019364611,0.0009581543,0.059080333,0.56536645,0.00981618,0.0019095861,0.008306342,0.0023980043,0.0025367662,0.084037304,0.26319242,0.00046198786],"about_ca_topic_score_codex":0.0026187566,"about_ca_topic_score_gemma":0.0035565624,"teacher_disagreement_score":0.6684762,"about_ca_system_score_codex":0.0057787206,"about_ca_system_score_gemma":0.012502073,"threshold_uncertainty_score":0.82435024},"labels":[],"label_agreement":null},{"id":"W2144528553","doi":"10.1177/0272989x11426176","title":"Test Result–Based Sampling","year":2011,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Sample size determination; Sampling (signal processing); Statistics; Ranging; Sampling design; Simple random sample; Sample (material); Computer science; Population; Mathematics; Medicine","score_opus":0.29731825932960054,"score_gpt":0.5081463113278938,"score_spread":0.21082805199829324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144528553","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12363606,0.0011054884,0.81049883,0.0007685076,0.00046759043,0.04905433,0.0021500299,0.0010503808,0.011268683],"genre_scores_gemma":[0.5526312,0.00048739326,0.39249057,0.0014769287,0.00031461616,0.04649903,0.0028290555,0.0001643266,0.0031069228],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.8668456,0.10160691,0.007960403,0.005877801,0.016460335,0.0012490196],"domain_scores_gemma":[0.82877624,0.10786656,0.012331869,0.025237152,0.024176022,0.0016122028],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.08993455,0.0015209349,0.0016407493,0.0020395303,0.00078340556,0.0012859355,0.003900495,0.0019196538,0.0060677794],"category_scores_gemma":[0.23574886,0.0006839145,0.001178365,0.0015724989,0.0015938112,0.0011685626,0.002422597,0.0012233241,0.002876475],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.012249786,0.0027636888,0.20361924,0.0036741933,0.0011934673,0.0010465309,0.0029802686,0.030590672,0.014993952,0.027668152,0.024494976,0.67472506],"study_design_scores_gemma":[0.013231373,0.050430253,0.18697193,0.0030210367,0.0023138872,0.007133187,0.0018749227,0.45602816,0.06797767,0.06969821,0.14089245,0.00042691376],"about_ca_topic_score_codex":0.0016371476,"about_ca_topic_score_gemma":0.00083255215,"teacher_disagreement_score":0.9100655,"about_ca_system_score_codex":0.0011469016,"about_ca_system_score_gemma":0.0029258972,"threshold_uncertainty_score":0.47562504},"labels":[],"label_agreement":null},{"id":"W2145135401","doi":"10.1177/0272989x07307319","title":"Do Patient Decision Aids Meet Effectiveness Criteria of the International Patient Decision Aid Standards Collaboration? A Systematic Review and Meta-analysis","year":2007,"lang":"en","type":"review","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":272,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Algonquin College; University of Ottawa","funders":"","keywords":"Decision aids; Decision analysis; Medicine; Meta-analysis; Multiple-criteria decision analysis; MEDLINE; Management science; Risk analysis (engineering); Operations research; Engineering; Alternative medicine","score_opus":0.24418946367039823,"score_gpt":0.5520368353204408,"score_spread":0.30784737165004256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145135401","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012571366,0.9817645,0.00199696,0.0006284894,0.00034981073,0.0016316613,0.0004610927,0.00003527748,0.0005607708],"genre_scores_gemma":[0.5767666,0.40172178,0.009956988,0.002169928,0.00076920976,0.007160783,0.0010787019,0.000057234134,0.0003186971],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.8308336,0.11672802,0.030939637,0.006415281,0.013932172,0.0011511737],"domain_scores_gemma":[0.7614141,0.18886979,0.03628513,0.0054433346,0.007026171,0.00096160226],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.11427081,0.003357976,0.026365273,0.00802007,0.0008995839,0.005470424,0.003173313,0.0038782342,0.002586205],"category_scores_gemma":[0.24703911,0.0022219305,0.034981932,0.00739554,0.0026566805,0.003971702,0.0024305673,0.002896416,0.00022477849],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0069282115,0.00006304347,0.0059072915,0.24173017,0.7254074,0.00005502521,0.00015442507,0.0005089178,0.00009381525,0.00038440156,0.00044575907,0.018321488],"study_design_scores_gemma":[0.007574329,0.0012835991,0.0058878832,0.049917392,0.9311274,0.00014196507,0.00015331751,0.00061496376,0.00027685618,0.00092532375,0.0020320145,0.000064909305],"about_ca_topic_score_codex":0.0044080685,"about_ca_topic_score_gemma":0.0071587036,"teacher_disagreement_score":0.8857292,"about_ca_system_score_codex":0.0052541313,"about_ca_system_score_gemma":0.0044753724,"threshold_uncertainty_score":0.604329},"labels":[],"label_agreement":null},{"id":"W2146006549","doi":"10.1177/0272989x13511704","title":"Knowledge, Attitudes, and Self-efficacy as Predictors of Preparedness for Oncology Clinical Trials","year":2013,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Preparedness; Self-efficacy; Clinical trial; Moderation; Medicine; Cancer; Family medicine; Psychology; Internal medicine; Social psychology","score_opus":0.5327753667992864,"score_gpt":0.6832187117492886,"score_spread":0.15044334495000222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146006549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967458,0.00038220314,0.00047755038,0.0006393399,0.000008394156,0.00008225399,0.00009260932,0.000006095811,0.0015657137],"genre_scores_gemma":[0.9994019,0.000058127374,0.00032059944,0.000045722663,0.0000043006344,0.00003545338,0.000043102777,6.727561e-7,0.00009012067],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99296135,0.0047956193,0.00057062274,0.00031475598,0.0009560682,0.00040157593],"domain_scores_gemma":[0.885089,0.089449905,0.015861552,0.00220762,0.002622084,0.0047698286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013128991,0.00025341864,0.0004429874,0.00094729144,0.00046376523,0.0017692433,0.0004897558,0.00063542894,0.003232867],"category_scores_gemma":[0.08676989,0.00019124121,0.0010085534,0.0005869262,0.0011665473,0.00066861056,0.00074963254,0.0013417962,0.00019310009],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004481473,0.00076977996,0.9854063,0.000093874434,0.00032622504,0.000057322322,0.00071015715,0.0018691885,0.00007758795,0.00046399943,0.00019274189,0.0095847],"study_design_scores_gemma":[0.00023586155,0.0014488735,0.9808349,0.00025331054,0.0002992614,0.0001996431,0.0014073451,0.011460555,0.0005274503,0.0023418271,0.0009404172,0.00005051043],"about_ca_topic_score_codex":0.0029714238,"about_ca_topic_score_gemma":0.0034860454,"teacher_disagreement_score":0.013128991,"about_ca_system_score_codex":0.0011511561,"about_ca_system_score_gemma":0.0033205966,"threshold_uncertainty_score":0.06943357},"labels":[],"label_agreement":null},{"id":"W2146075572","doi":"10.1177/0272989x0102100404","title":"An Off-the-Shelf Help List","year":2001,"lang":"en","type":"review","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":93,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Off the shelf; Medicine; Computer science","score_opus":0.5076141008802234,"score_gpt":0.5445087613010589,"score_spread":0.036894660420835446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146075572","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031426393,0.095856875,0.028820856,0.024431653,0.010575355,0.007860631,0.0979136,0.016219484,0.71517897],"genre_scores_gemma":[0.0066700336,0.08550246,0.047524408,0.015988247,0.0061964556,0.008418383,0.06912567,0.0023851662,0.75818914],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986755,0.00039750576,0.00029675485,0.000085227075,0.0004671464,0.000077812976],"domain_scores_gemma":[0.98530966,0.008169087,0.0012050553,0.00050246133,0.004114862,0.0006989603],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019919,0.0012929154,0.0025111218,0.0074852947,0.000648123,0.0020135073,0.0017738425,0.0018466128,0.6215638],"category_scores_gemma":[0.01698531,0.00064755743,0.0010022464,0.010744819,0.00028663976,0.0031206505,0.002367181,0.000992365,0.49136776],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004220187,0.0000355145,0.00013408823,0.003642495,0.000008454519,0.00006938894,0.000037676673,0.000038492686,0.0002130116,0.00059740525,0.7205174,0.27466378],"study_design_scores_gemma":[0.000048659622,0.000042623233,0.0010662919,0.0015322561,0.000009629989,0.00015395015,0.000049251383,0.00006267732,0.00010633775,0.0007442931,0.996172,0.000012023776],"about_ca_topic_score_codex":0.001430429,"about_ca_topic_score_gemma":0.002957083,"teacher_disagreement_score":0.6215638,"about_ca_system_score_codex":0.0007907354,"about_ca_system_score_gemma":0.0018563096,"threshold_uncertainty_score":0.5397933},"labels":[],"label_agreement":null},{"id":"W2146395157","doi":"10.1177/0272989x07305322","title":"The Value of Bayes Theorem in the Interpretation of Subjective Diagnostic Findings: What Can We Learn from Agreement Studies?","year":2007,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Coastal Health","funders":"","keywords":"Bayes' theorem; Interpretation (philosophy); Value (mathematics); Agreement; Econometrics; Psychology; Mathematics; Statistics; Actuarial science; Medicine; Mathematical economics; Bayesian probability; Computer science; Economics; Philosophy; Linguistics","score_opus":0.1676988182647056,"score_gpt":0.4484082102253236,"score_spread":0.28070939196061806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146395157","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009804846,0.20296977,0.39229622,0.3737749,0.009036886,0.00023964077,0.00027496915,0.00021594517,0.011386959],"genre_scores_gemma":[0.3994331,0.20879392,0.26843244,0.075075716,0.044329047,0.0012097084,0.0003089003,0.00030561842,0.0021115725],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.8193103,0.14773782,0.008915816,0.006377734,0.016454775,0.0012034703],"domain_scores_gemma":[0.2381508,0.71491253,0.011966902,0.016425736,0.016580502,0.0019635058],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3172038,0.0022997372,0.007863873,0.009671066,0.0025014896,0.01465782,0.008492107,0.014156658,0.0029463784],"category_scores_gemma":[0.58442193,0.001827561,0.0032858022,0.0057809674,0.03579291,0.041253295,0.0073522376,0.018209064,0.0010550105],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00088956475,0.00022801563,0.013656078,0.0065366556,0.0025477768,0.0016206483,0.0075161033,0.009015379,0.0002784258,0.45588797,0.025775257,0.47604808],"study_design_scores_gemma":[0.00008217862,0.00010904564,0.0011809703,0.0030625586,0.0001506803,0.00037659425,0.0009104699,0.004994971,0.00012867933,0.9782904,0.010580815,0.00013265418],"about_ca_topic_score_codex":0.0063725165,"about_ca_topic_score_gemma":0.003039391,"teacher_disagreement_score":0.3172038,"about_ca_system_score_codex":0.0056852545,"about_ca_system_score_gemma":0.005425788,"threshold_uncertainty_score":0.8420093},"labels":[],"label_agreement":null},{"id":"W2146665164","doi":"10.1177/0272989x13497262","title":"Medical Therapy v. PCI in Stable Coronary Artery Disease","year":2013,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Conventional PCI; Quality-adjusted life year; Population; Percutaneous coronary intervention; Coronary artery disease; Restenosis; Cost effectiveness; Cohort; Internal medicine; Life expectancy; Emergency medicine; Surgery; Stent; Myocardial infarction","score_opus":0.028745020620735404,"score_gpt":0.340868792821779,"score_spread":0.3121237722010436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146665164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58850634,0.27556875,0.015260022,0.025435444,0.0025352347,0.0027399552,0.014088198,0.0001862052,0.07567991],"genre_scores_gemma":[0.9529766,0.034297463,0.0039256797,0.0034167145,0.0007468785,0.00032790558,0.0024096535,0.000019494397,0.0018796293],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9975464,0.0015204577,0.0001479259,0.00013024954,0.00045104933,0.00020390542],"domain_scores_gemma":[0.9982843,0.0011530404,0.00031998937,0.00003751825,0.00008620154,0.00011900759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002988333,0.00045370503,0.0010005478,0.0009018153,0.0001797395,0.0008343143,0.0004538986,0.00083893014,0.00518974],"category_scores_gemma":[0.0055721304,0.00018644982,0.0016987976,0.0009186342,0.0004574332,0.00039428685,0.00044248413,0.00070781464,0.00029753294],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.07380657,0.0012886676,0.07836524,0.026743487,0.013450564,0.0011800204,0.00024865894,0.09691832,0.0025257983,0.044034146,0.039215654,0.62222284],"study_design_scores_gemma":[0.06501968,0.04273733,0.35690916,0.028094554,0.03198984,0.006237458,0.0006307244,0.15697023,0.0052064727,0.089721,0.21618195,0.00030162997],"about_ca_topic_score_codex":0.009778805,"about_ca_topic_score_gemma":0.014132063,"teacher_disagreement_score":0.009778805,"about_ca_system_score_codex":0.0028434733,"about_ca_system_score_gemma":0.003765405,"threshold_uncertainty_score":0.020630896},"labels":[],"label_agreement":null},{"id":"W2149049271","doi":"10.1177/0272989x07312474","title":"Health Technology Assessment in the Cost-Disutility Plane","year":2008,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; University of Toronto","funders":"","keywords":"Inefficiency; Net present value; Cost–benefit analysis; Cost effectiveness; Value of information; Computer science; Risk analysis (engineering); Economics; Operations management; Microeconomics; Business","score_opus":0.43480952321486205,"score_gpt":0.5296234635130782,"score_spread":0.09481394029821616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149049271","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041132733,0.04953659,0.7981494,0.0155197745,0.0009827679,0.0011051043,0.0010484048,0.00020167512,0.09232357],"genre_scores_gemma":[0.77254534,0.022864653,0.1972901,0.0017732339,0.0007417215,0.0020989235,0.00041393717,0.00011863052,0.0021534387],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.8994746,0.078965805,0.0038137373,0.0028409755,0.0134270005,0.0014778852],"domain_scores_gemma":[0.8815189,0.1064998,0.0036231196,0.0032702377,0.0045098085,0.0005780287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.065955475,0.002247583,0.0031860752,0.009174814,0.0009334899,0.011199836,0.0017129162,0.002693348,0.0041706343],"category_scores_gemma":[0.15727764,0.00060761074,0.0029194148,0.008395386,0.005377682,0.013994215,0.005345636,0.0058816206,0.00050255965],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021115704,0.000070613154,0.0024378714,0.00086664583,0.00041073575,0.00009013267,0.0003969389,0.05270196,0.0002282168,0.84890616,0.0013873039,0.092292175],"study_design_scores_gemma":[0.00007090625,0.00031665168,0.0031341524,0.00092937355,0.00026646722,0.00022340867,0.0005226876,0.046862915,0.0005207949,0.9348031,0.0122505445,0.00009898849],"about_ca_topic_score_codex":0.0031006194,"about_ca_topic_score_gemma":0.0010892624,"teacher_disagreement_score":0.065955475,"about_ca_system_score_codex":0.0068116435,"about_ca_system_score_gemma":0.00398845,"threshold_uncertainty_score":0.34881008},"labels":[],"label_agreement":null},{"id":"W2149779663","doi":"10.1177/0272989x10386800","title":"Predicting EQ-5D Utility Scores from the Seattle Angina Questionnaire in Coronary Artery Disease","year":2010,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Sciences Centre; University of Toronto; University of Alberta; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research","keywords":"Statistics; Linear regression; Heteroscedasticity; Medicine; Cohort; Coronary artery disease; Regression analysis; Simple linear regression; Unstable angina; Regression; Physical therapy; Mathematics; Coronary heart disease; Cardiology","score_opus":0.2553805329291292,"score_gpt":0.41139738887091826,"score_spread":0.15601685594178905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149779663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9836624,0.00035837415,0.012267282,0.00022730103,0.000023850347,0.0001692415,0.0019481927,0.00009869021,0.0012445867],"genre_scores_gemma":[0.99348104,0.000084050116,0.004618886,0.000027256367,0.000006686783,0.00006782456,0.0015142579,0.000008415331,0.00019163163],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981598,0.0010685987,0.00010884923,0.00018521636,0.00037479063,0.00010267791],"domain_scores_gemma":[0.9942041,0.0037227864,0.0006860733,0.00033787783,0.00082011503,0.0002289522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008138928,0.0007622626,0.00042530277,0.0021427688,0.00021268001,0.0008536877,0.00085278525,0.0005450179,0.0014573823],"category_scores_gemma":[0.023604173,0.00024039771,0.0009083239,0.0013625524,0.00032620245,0.00045159832,0.00082680304,0.0009667441,0.0004902946],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016892087,0.00008382206,0.9846165,0.000024105553,0.00012751302,0.000027248176,0.00006282971,0.0064316285,0.00007696443,0.00010021668,0.0007266385,0.007553593],"study_design_scores_gemma":[0.000080430305,0.00031180235,0.90758806,0.00004645653,0.0001431856,0.000113949885,0.00014292571,0.08978727,0.00030674943,0.00093841244,0.0005185923,0.000022201133],"about_ca_topic_score_codex":0.021452757,"about_ca_topic_score_gemma":0.018821225,"teacher_disagreement_score":0.021452757,"about_ca_system_score_codex":0.00086348684,"about_ca_system_score_gemma":0.0009101098,"threshold_uncertainty_score":0.043043256},"labels":[],"label_agreement":null},{"id":"W2151481259","doi":"10.1177/0272989x09342752","title":"Increasing the Detection and Response to Adherence Problems with Cardiovascular Medication in Primary Care through Computerized Drug Management Systems: A Randomized Controlled Trial","year":2009,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; College of Family Physicians of Canada; McGill University","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Drug; Randomized controlled trial; Pharmacotherapy; Lipid profile; Intervention (counseling); Intensive care medicine; Emergency medicine; Internal medicine; Physical therapy; Pharmacology; Cholesterol","score_opus":0.01763316223466533,"score_gpt":0.29213108891049083,"score_spread":0.2744979266758255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151481259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98178536,0.0048044524,0.0006125604,0.0010576482,0.0010556352,0.008192876,0.0006344494,0.00014740028,0.0017094597],"genre_scores_gemma":[0.98187673,0.0024829563,0.002203181,0.001054864,0.0011188952,0.009721932,0.00042578595,0.000014549224,0.0011011614],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9948737,0.0032520937,0.00044305387,0.0006487811,0.00038840127,0.00039389252],"domain_scores_gemma":[0.9942601,0.0029805275,0.0012873214,0.00037374903,0.00028258536,0.0008157873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004350465,0.0012840587,0.0032596474,0.00085883273,0.00084321987,0.0015706696,0.0014254363,0.0041434485,0.0072272737],"category_scores_gemma":[0.009333347,0.0009858622,0.0037503508,0.0009330089,0.0018555059,0.0012566444,0.0008730295,0.0033711449,0.00055912574],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.96782136,0.016800307,0.0014257105,0.0010890845,0.0021077427,0.000025446085,0.00006066598,0.00019924017,0.0002941208,0.000066440974,0.00038922267,0.009720698],"study_design_scores_gemma":[0.94936293,0.046092503,0.0028044074,0.00008919662,0.001008309,0.000009237073,0.000015579973,0.00031664895,0.000097060634,0.00005170143,0.0001443292,0.000008036505],"about_ca_topic_score_codex":0.0030992194,"about_ca_topic_score_gemma":0.0029603902,"teacher_disagreement_score":0.0072272737,"about_ca_system_score_codex":0.001304949,"about_ca_system_score_gemma":0.0020577828,"threshold_uncertainty_score":0.02417761},"labels":[],"label_agreement":null},{"id":"W2152033706","doi":"10.1177/0272989x12451339","title":"Looking at Patients’ Choices through the Lens of Expected Utility","year":2012,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Expected utility hypothesis; Medical decision making; Outcome (game theory); Actuarial science; Medical Expenditure Panel Survey; Perception; Psychology; Exploratory research; Management science; Medicine; Economics; Health care; Family medicine; Health insurance; Microeconomics; Sociology","score_opus":0.34594823469583896,"score_gpt":0.4572533501583475,"score_spread":0.11130511546250854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152033706","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043891747,0.021012101,0.6964115,0.10397393,0.00088942534,0.000162957,0.0009342501,0.000105931205,0.13261817],"genre_scores_gemma":[0.90437275,0.009537751,0.0770556,0.003283793,0.00094210374,0.00021417474,0.00023876449,0.00004277404,0.004312242],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9903432,0.007642782,0.0002572505,0.00047026714,0.0008993966,0.0003871039],"domain_scores_gemma":[0.976597,0.020054,0.0011790876,0.0008952099,0.0008008181,0.0004737745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010191035,0.0012063271,0.0010584898,0.0037782502,0.000946681,0.00892339,0.0015598714,0.0025211077,0.005167623],"category_scores_gemma":[0.028181702,0.0005471921,0.0013357416,0.00243827,0.0070193694,0.010839156,0.0027424295,0.007940646,0.00033276062],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023195804,0.000033787375,0.0014313367,0.00006692045,0.00006330918,0.000117350515,0.0006857759,0.0044408245,0.000048869686,0.9833013,0.0013290158,0.008458351],"study_design_scores_gemma":[0.000010146405,0.000021595477,0.0004990291,0.00009126211,0.000017224955,0.00007166634,0.00043969566,0.0066280407,0.000041920695,0.9871224,0.0050439057,0.000013097382],"about_ca_topic_score_codex":0.0038192808,"about_ca_topic_score_gemma":0.0028865258,"teacher_disagreement_score":0.010191035,"about_ca_system_score_codex":0.004615676,"about_ca_system_score_gemma":0.0019107641,"threshold_uncertainty_score":0.05389601},"labels":[],"label_agreement":null},{"id":"W2155209767","doi":"10.1177/0272989x08318468","title":"``Not Everyone Who Needs One Is Going to Get One'': The Influence of Medical Brokering on Patient Candidacy for Total Joint Arthroplasty","year":2008,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Candidacy; Medicine; Joint arthroplasty; Health care; Promotion (chess); Negotiation; Orthopedic surgery; Nursing; Medical emergency; Family medicine; Arthroplasty; Surgery","score_opus":0.03201727682480866,"score_gpt":0.3025960665410089,"score_spread":0.27057878971620025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155209767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9752104,0.0005850982,0.0002904825,0.015086214,0.00004559495,0.000048765694,0.000040274484,0.000007426678,0.0086856615],"genre_scores_gemma":[0.99878746,0.00015989764,0.0001604699,0.0005793485,0.000011143398,0.0000095586165,0.000007147673,0.0000022176969,0.00028264328],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.991364,0.005659837,0.00031633853,0.00043503518,0.0011900445,0.0010346357],"domain_scores_gemma":[0.9565639,0.026550267,0.009243211,0.0005257013,0.0024615356,0.004655384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007114638,0.00018094681,0.0002495064,0.00050925626,0.0055883876,0.0036905447,0.0008210118,0.0012083304,0.0048222626],"category_scores_gemma":[0.039732825,0.00027363974,0.0003001756,0.00061813695,0.004419872,0.0012014643,0.0019201182,0.0013789757,0.00019694093],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000655831,0.0003664001,0.56268495,0.0002967561,0.00013728073,0.0023011619,0.38901272,0.00035393873,0.0012774598,0.0032583002,0.0074786055,0.032176618],"study_design_scores_gemma":[0.00017637662,0.0002965593,0.48119226,0.000503897,0.00015801858,0.00081987283,0.4898424,0.0018813452,0.00047182426,0.0030733433,0.021473294,0.00011094661],"about_ca_topic_score_codex":0.32296404,"about_ca_topic_score_gemma":0.3896214,"teacher_disagreement_score":0.32296404,"about_ca_system_score_codex":0.0122505035,"about_ca_system_score_gemma":0.021389175,"threshold_uncertainty_score":0.6421684},"labels":[],"label_agreement":null},{"id":"W2155395793","doi":"10.1177/0272989x04273142","title":"Optimal Statistical Decisions for Hospital Report Cards","year":2005,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient Satisfaction in Healthcare","field":"Health Professions","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; University of Toronto","funders":"Canadian Institutes of Health Research; Institute for Clinical Evaluative Sciences","keywords":"False positive paradox; Statistical significance; False positives and false negatives; Medicine; Statistics; Quality (philosophy); Relative value; Actuarial science; Operations management; Mathematics; Economics","score_opus":0.09029463823620998,"score_gpt":0.5133631414625724,"score_spread":0.42306850322636247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155395793","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09194056,0.00060735137,0.895922,0.0029153945,0.00012341386,0.0022531014,0.00038060884,0.00055484305,0.0053026867],"genre_scores_gemma":[0.5606315,0.000320499,0.4352816,0.00053173676,0.000107018226,0.001411562,0.0005023625,0.00008398739,0.001129807],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9081697,0.078395806,0.0024089173,0.003045743,0.0060840347,0.0018958454],"domain_scores_gemma":[0.6596159,0.30462047,0.014643416,0.008596119,0.010386144,0.002138006],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.07428406,0.0016967084,0.0024733972,0.0026716385,0.0009774631,0.005164082,0.0031584634,0.001991373,0.004692643],"category_scores_gemma":[0.23684338,0.0017336401,0.000952077,0.0023528736,0.0031810591,0.005027402,0.0027679552,0.0032032733,0.00057034753],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029559159,0.00063601014,0.0094169285,0.0005406759,0.00023980842,0.00020188684,0.00045495143,0.67120296,0.0007638344,0.17741875,0.004479117,0.13168918],"study_design_scores_gemma":[0.00059837266,0.00077678444,0.0021887834,0.00014869007,0.000080458885,0.000106486266,0.00023370044,0.86586446,0.0015366434,0.12583105,0.0025482718,0.000086354536],"about_ca_topic_score_codex":0.0017123488,"about_ca_topic_score_gemma":0.0012644106,"teacher_disagreement_score":0.9257159,"about_ca_system_score_codex":0.0063332804,"about_ca_system_score_gemma":0.007046926,"threshold_uncertainty_score":0.39285636},"labels":[],"label_agreement":null},{"id":"W2157595559","doi":"10.1177/0272989x0202200411","title":"Primary Prevention Drug Therapy: Can It Meet Patients’ Requirements for Reduced Risk?","year":2002,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Drug; Intensive care medicine; Primary prevention; Risk analysis (engineering); Pharmacology; Internal medicine; Disease","score_opus":0.3970579477170205,"score_gpt":0.45924310028730797,"score_spread":0.06218515257028745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157595559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8650746,0.012503043,0.012628643,0.0904699,0.00016333991,0.00026278477,0.00074440736,0.00006015608,0.018093169],"genre_scores_gemma":[0.99405575,0.0010644911,0.0030283926,0.0014571496,0.000094007366,0.00005738932,0.00008650551,0.0000032564399,0.000153077],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9901046,0.0076294327,0.0004980477,0.00030401014,0.0011399549,0.0003239234],"domain_scores_gemma":[0.9786355,0.01566951,0.0032826462,0.0006846243,0.0007503643,0.000977386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011647563,0.0002472199,0.0012766332,0.00069053425,0.0004946539,0.0017398265,0.00037040675,0.0013365382,0.0028257526],"category_scores_gemma":[0.06437922,0.00018960728,0.00050132885,0.0009257015,0.0009772461,0.0017068662,0.00065954676,0.0011682655,0.00053697586],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032642572,0.0013506358,0.5263798,0.0011940219,0.00075420225,0.0006340865,0.0014477411,0.009425431,0.00063077046,0.0201258,0.012513291,0.42227995],"study_design_scores_gemma":[0.0017422417,0.007860508,0.7802749,0.0013719916,0.00088467536,0.0049247984,0.0041728634,0.05288705,0.002038533,0.110453404,0.033208787,0.00018025316],"about_ca_topic_score_codex":0.0011330756,"about_ca_topic_score_gemma":0.0013653361,"teacher_disagreement_score":0.011647563,"about_ca_system_score_codex":0.00076401746,"about_ca_system_score_gemma":0.0014556763,"threshold_uncertainty_score":0.061598957},"labels":[],"label_agreement":null},{"id":"W2158062010","doi":"10.1177/0272989x02238301","title":"Willingness to Pay for What? A Note on Alternative Definitions of Health Care Program Benefits for Contingent Valuation Studies","year":2002,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research; McMaster University; St. Joseph's Hospital; St. Joseph’s Healthcare Hamilton; University of Calgary","funders":"","keywords":"Contingent valuation; Willingness to pay; Actuarial science; Valuation (finance); Health care; Economics; Cost–benefit analysis; Value (mathematics); Health economics; Public economics; Microeconomics; Statistics; Accounting; Mathematics","score_opus":0.41473583205410913,"score_gpt":0.38604142505608113,"score_spread":0.028694406998028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158062010","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02882885,0.04446768,0.6220158,0.2179777,0.006045577,0.00044398397,0.0010353077,0.00014765948,0.079037465],"genre_scores_gemma":[0.65252566,0.01716932,0.27397746,0.033568323,0.009111763,0.0031748875,0.00057902676,0.00034429666,0.009549319],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9553413,0.032875545,0.0033193228,0.0023906704,0.0050106323,0.0010625703],"domain_scores_gemma":[0.8645904,0.11456763,0.0038674392,0.0097639365,0.005860044,0.0013505031],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07274554,0.001710726,0.0033454273,0.0049622026,0.0033249743,0.017273776,0.0065279556,0.009208996,0.004914657],"category_scores_gemma":[0.0928761,0.0012154197,0.004217352,0.009113085,0.032984823,0.021833893,0.006718307,0.022451079,0.0006475664],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019229556,0.00001913788,0.00032164145,0.00007595441,0.000015185016,0.000038093265,0.0007750517,0.0006047843,0.000043713895,0.990132,0.0021469428,0.005808214],"study_design_scores_gemma":[0.000014152235,0.000024657867,0.00040667233,0.00024588653,0.000011798377,0.000096629075,0.00044788513,0.0020879277,0.000058068443,0.9813169,0.0152508095,0.000038628652],"about_ca_topic_score_codex":0.0018843639,"about_ca_topic_score_gemma":0.0014450399,"teacher_disagreement_score":0.07274554,"about_ca_system_score_codex":0.0053976304,"about_ca_system_score_gemma":0.0026602005,"threshold_uncertainty_score":0.3847198},"labels":[],"label_agreement":null},{"id":"W2158298440","doi":"10.1177/0272989x15585114","title":"The ONCOTYROL Prostate Cancer Outcome and Policy Model","year":2015,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital; University of Toronto","funders":"Erasmus+; Erasmus Medisch Centrum","keywords":"Outcome (game theory); Prostate cancer; Cancer; Prostate; Medicine; Oncology; Internal medicine; Economics","score_opus":0.06896233147531967,"score_gpt":0.42756798301733,"score_spread":0.35860565154201035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158298440","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4325512,0.0018627753,0.39331594,0.01608177,0.0006091002,0.0017848694,0.057149176,0.0017725674,0.09487257],"genre_scores_gemma":[0.92528397,0.00071373914,0.024094632,0.0008378501,0.00013302756,0.0020535865,0.0078029735,0.00012338841,0.038956787],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987412,0.0005356646,0.000034823315,0.00027137672,0.00015281998,0.00026418877],"domain_scores_gemma":[0.997996,0.0011378883,0.0002732909,0.00009647415,0.00029222912,0.00020424454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026291031,0.0009911602,0.0012244,0.0012341246,0.0004995036,0.0017532378,0.0027191746,0.0016388233,0.014435826],"category_scores_gemma":[0.0054535093,0.0004919879,0.0011852583,0.0012237022,0.00078270305,0.0011571842,0.0014109671,0.0019616017,0.0015615156],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030689503,0.000100346035,0.005095968,0.00011857653,0.00009926667,0.0002818225,0.00009807528,0.9032562,0.0001603068,0.07517592,0.0069876504,0.008318963],"study_design_scores_gemma":[0.00022089249,0.00013610622,0.0022273806,0.00004222321,0.000104643266,0.0001205825,0.00006462421,0.95929426,0.00014222095,0.030686222,0.0069147144,0.000046117504],"about_ca_topic_score_codex":0.04036502,"about_ca_topic_score_gemma":0.017406033,"teacher_disagreement_score":0.04036502,"about_ca_system_score_codex":0.0041074613,"about_ca_system_score_gemma":0.00375181,"threshold_uncertainty_score":0.0802601},"labels":[],"label_agreement":null},{"id":"W2158460222","doi":"10.1177/0272989x09341755","title":"The Relative Ability of Different Propensity Score Methods to Balance Measured Covariates Between Treated and Untreated Subjects in Observational Studies","year":2009,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":456,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; University of Toronto","funders":"","keywords":"Propensity score matching; Covariate; Statistics; Observational study; Inverse probability weighting; Weighting; Medicine; Mathematics","score_opus":0.4399813510196111,"score_gpt":0.5151726562683904,"score_spread":0.07519130524877926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158460222","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02521487,0.009473683,0.9587231,0.0029756497,0.00030374122,0.0007306787,0.00030581743,0.00020284089,0.002069565],"genre_scores_gemma":[0.27254713,0.0066873436,0.71613,0.0011837224,0.00053473265,0.0015414926,0.0004669664,0.00011935834,0.00078924414],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.71544194,0.2575209,0.009908682,0.0067778965,0.0098615885,0.00048904493],"domain_scores_gemma":[0.44453183,0.51053554,0.019087626,0.019621452,0.005527124,0.0006965204],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.26412725,0.0015090348,0.002079567,0.006519463,0.0007846547,0.0041158083,0.0027313747,0.0023385477,0.0023178635],"category_scores_gemma":[0.47963735,0.0012805723,0.0033752343,0.007904064,0.0036110687,0.0041248403,0.0035716342,0.003065813,0.00047996818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016029237,0.00032109863,0.112522,0.003486309,0.011178799,0.00020662523,0.0020837705,0.070020884,0.001411484,0.16012813,0.0042734486,0.63276464],"study_design_scores_gemma":[0.0014390188,0.0016940497,0.090367064,0.0027886997,0.003965213,0.0010073101,0.0006323428,0.28589618,0.005507547,0.58017254,0.026067188,0.00046273356],"about_ca_topic_score_codex":0.00197236,"about_ca_topic_score_gemma":0.0017587024,"teacher_disagreement_score":0.73587275,"about_ca_system_score_codex":0.0018831429,"about_ca_system_score_gemma":0.0022812302,"threshold_uncertainty_score":0.9074621},"labels":[],"label_agreement":null},{"id":"W2158784546","doi":"10.1177/0272989x03261566","title":"A Comparison of Narrative and Table Formats for Presenting Hypothetical Health States to Patients with Gastrointestinal or Pulmonary Disease","year":2004,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; McMaster University Medical Centre","funders":"","keywords":"Table (database); Presentation (obstetrics); Medicine; Narrative; Disease; Test (biology); Pulmonary disease; Health care; Family medicine; Surgery; Computer science; Pathology; Internal medicine; Data mining; Linguistics","score_opus":0.23508284086492112,"score_gpt":0.4712507837423802,"score_spread":0.2361679428774591,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158784546","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8596722,0.009576269,0.055155694,0.010252617,0.004403036,0.01273847,0.00622979,0.00090688653,0.041065086],"genre_scores_gemma":[0.9098555,0.0064438283,0.06403789,0.0023291772,0.0006484908,0.01117836,0.0021242246,0.00015391142,0.0032286427],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9611086,0.031975843,0.0034625884,0.0006669786,0.0023710297,0.0004149845],"domain_scores_gemma":[0.6721491,0.29954934,0.01548234,0.005485429,0.0046691196,0.002664641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.024326686,0.0011703488,0.0012749339,0.0024773108,0.0005965357,0.0028994058,0.0012475174,0.0021200378,0.022101445],"category_scores_gemma":[0.227391,0.00059628394,0.0023924788,0.0020374127,0.001159312,0.0049285376,0.0019609185,0.0022558202,0.002028474],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.18590629,0.013552112,0.02208695,0.012760755,0.0020033717,0.00053722714,0.0063368087,0.013153917,0.0019667863,0.023815919,0.03368038,0.6841996],"study_design_scores_gemma":[0.19642103,0.27604336,0.10040034,0.025928434,0.007240599,0.0034284675,0.02219487,0.17168228,0.0068632388,0.075322226,0.11197377,0.0025013809],"about_ca_topic_score_codex":0.001043482,"about_ca_topic_score_gemma":0.00094880705,"teacher_disagreement_score":0.024326686,"about_ca_system_score_codex":0.0019833653,"about_ca_system_score_gemma":0.0016448653,"threshold_uncertainty_score":0.12865335},"labels":[],"label_agreement":null},{"id":"W2162160016","doi":"10.1177/0272989x11426483","title":"Hic Sunt Dracones","year":2011,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Psychology","score_opus":0.1363412555539356,"score_gpt":0.32751723684840156,"score_spread":0.19117598129446597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162160016","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017375146,0.029542284,0.0028775574,0.22046249,0.12811616,0.0000860945,0.00081277394,0.0008452995,0.6155198],"genre_scores_gemma":[0.010219693,0.0055469377,0.00072223827,0.02483947,0.007630885,0.000041014642,0.00018945691,0.00031798554,0.9504923],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987717,0.00021861494,0.000045794128,0.0003006222,0.000499634,0.0001636267],"domain_scores_gemma":[0.99726844,0.00054080866,0.00013023462,0.0001885651,0.0010650364,0.0008069838],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015629855,0.0005286545,0.0005099572,0.0010498051,0.002547171,0.0040686824,0.00092725863,0.0024727255,0.3029502],"category_scores_gemma":[0.007299844,0.00024673482,0.00031970063,0.0005843605,0.00088421995,0.0022721533,0.0024449178,0.0050548348,0.11748252],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027285132,0.000011548527,0.000106606196,0.00003989213,0.0000020849939,0.00009233972,0.00007088012,0.000035240217,0.00008420747,0.012342253,0.96131206,0.025875606],"study_design_scores_gemma":[0.0000021721369,0.0000041048174,0.00008046225,0.00004240362,8.2042493e-7,0.000092584196,0.000047874317,0.000031128417,0.000059545393,0.00085038465,0.99878544,0.0000031210297],"about_ca_topic_score_codex":0.004764163,"about_ca_topic_score_gemma":0.0091280695,"teacher_disagreement_score":0.3029502,"about_ca_system_score_codex":0.0021421849,"about_ca_system_score_gemma":0.002357254,"threshold_uncertainty_score":0.9942569},"labels":[],"label_agreement":null},{"id":"W2163103872","doi":"10.1177/0272989x07312712","title":"Do Patients' Communication Behaviors Provide Insight into Their Preferences for Participation in Decision Making?","year":2008,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Active listening; Patient participation; Psychology; Preference; Decision aids; Deference; Decision quality; Coding (social sciences); Social psychology; Applied psychology; MEDLINE; Medicine; Patient satisfaction; Nursing; Alternative medicine","score_opus":0.22766620629373663,"score_gpt":0.4864941687792341,"score_spread":0.2588279624854975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163103872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959836,0.0003297019,0.00071253726,0.00060786126,0.000011608827,0.000019296642,0.00020608069,0.000010081039,0.002119174],"genre_scores_gemma":[0.99921405,0.0001590649,0.00036005213,0.00008477589,0.000013138746,0.00001864876,0.00008680765,0.0000025165934,0.00006099433],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9954026,0.0026990166,0.0005746584,0.0002461796,0.00081100943,0.00026645235],"domain_scores_gemma":[0.95913893,0.026926639,0.009840383,0.00079975504,0.0018724946,0.0014217331],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005478165,0.00030107153,0.00036570537,0.0010491956,0.00025932136,0.0012089463,0.0002271263,0.0006297247,0.0032521293],"category_scores_gemma":[0.04290488,0.00013384638,0.00040779816,0.0006949695,0.0007644268,0.0010694752,0.0005380105,0.00064596225,0.0004907652],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054643117,0.00011445812,0.95240164,0.00017169355,0.00013631831,0.00014026978,0.0041870032,0.00025478445,0.00072967215,0.00013886092,0.0005123648,0.040666547],"study_design_scores_gemma":[0.000051431194,0.0009882613,0.9842312,0.00016568374,0.00014177548,0.0011203627,0.00798985,0.0014842161,0.0010189312,0.0010429119,0.0017102148,0.00005517946],"about_ca_topic_score_codex":0.00028023557,"about_ca_topic_score_gemma":0.00045740444,"teacher_disagreement_score":0.005478165,"about_ca_system_score_codex":0.00031144195,"about_ca_system_score_gemma":0.0004266896,"threshold_uncertainty_score":0.028971612},"labels":[],"label_agreement":null},{"id":"W2167571049","doi":"10.1177/0272989x11434601","title":"The Impact of Explicit Values Clarification Exercises in a Patient Decision Aid Emerges After the Decision Is Actually Made","year":2012,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":114,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Decision aids; Decision analysis; Management science; Psychology; Computer science; Medicine; Economics; Mathematics; Alternative medicine; Statistics","score_opus":0.13361205902914516,"score_gpt":0.47341729943167826,"score_spread":0.3398052404025331,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167571049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943597,0.0028950223,0.00038387318,0.00042886968,0.00010849399,0.00075041334,0.00007898068,0.00002364682,0.00097103295],"genre_scores_gemma":[0.99490535,0.0009326978,0.0022761717,0.00029310878,0.00014587985,0.0009921531,0.00007434063,0.0000028340344,0.00037746335],"study_design_codex":"randomized_trial","study_design_gemma":"observational","domain_scores_codex":[0.99743134,0.0017618723,0.00024029483,0.00020962328,0.00023960468,0.00011732565],"domain_scores_gemma":[0.9877428,0.008236257,0.002842837,0.0002768196,0.00015431682,0.0007470136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024613685,0.0005628451,0.00091691414,0.00024378099,0.00030307742,0.00071559206,0.00052918657,0.0009941582,0.005855304],"category_scores_gemma":[0.014290468,0.0002911443,0.00076492224,0.00025028983,0.00040010863,0.0005873067,0.00045822532,0.0013449108,0.00026852763],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.48809645,0.06371546,0.024715519,0.0075331638,0.002689649,0.00024201046,0.00082515884,0.0031014287,0.004584598,0.00042016688,0.0013905665,0.4026859],"study_design_scores_gemma":[0.41653654,0.4798897,0.077190265,0.0023192407,0.003885566,0.00044785114,0.0005911664,0.005552962,0.007171289,0.00073034817,0.005562293,0.00012267564],"about_ca_topic_score_codex":0.00026015172,"about_ca_topic_score_gemma":0.0004034973,"teacher_disagreement_score":0.005855304,"about_ca_system_score_codex":0.00036172487,"about_ca_system_score_gemma":0.00090233015,"threshold_uncertainty_score":0.019587874},"labels":[],"label_agreement":null},{"id":"W2171038270","doi":"10.1177/0272989x14535984","title":"Predictive Modeling of Implantation Outcome in an In Vitro Fertilization Setting","year":2014,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Ovarian function and disorders","field":"Medicine","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"In vitro fertilisation; Outcome (game theory); Human fertilization; Medicine; Computer science; Intensive care medicine; Biology; Pregnancy; Mathematics; Mathematical economics","score_opus":0.03068180435003499,"score_gpt":0.34883476275386266,"score_spread":0.3181529584038277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171038270","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8743423,0.0016981916,0.11898227,0.0010345205,0.00011035932,0.00022507417,0.0016042767,0.0003973388,0.0016055945],"genre_scores_gemma":[0.99203074,0.0002976627,0.006459377,0.00004323515,0.000032672917,0.00007844091,0.0005905846,0.000004858331,0.0004624817],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945277,0.00023364254,0.000034691253,0.0001204361,0.00007770928,0.0000808266],"domain_scores_gemma":[0.9961392,0.0030234016,0.00033373275,0.00007786297,0.00033956193,0.00008635701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00255657,0.0010701478,0.00081331114,0.0008936262,0.00032094753,0.0009400348,0.0008999569,0.00084653223,0.0009953267],"category_scores_gemma":[0.0058564865,0.00032544142,0.00088014326,0.0004868957,0.0003454891,0.00031142295,0.00044045364,0.0010731171,0.00024791528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046527933,0.00025394125,0.06474521,0.00009273998,0.00019858063,0.0005018916,0.00007808053,0.89929485,0.0008191038,0.00055421144,0.0010095832,0.031986587],"study_design_scores_gemma":[0.000009651752,0.00005783634,0.0042959913,0.000010452965,0.000023969922,0.00004299799,0.000011441011,0.9948059,0.00017677037,0.0004934748,0.00006581186,0.0000058021765],"about_ca_topic_score_codex":0.019248283,"about_ca_topic_score_gemma":0.0070173224,"teacher_disagreement_score":0.019248283,"about_ca_system_score_codex":0.00083218963,"about_ca_system_score_gemma":0.000928556,"threshold_uncertainty_score":0.0382725},"labels":[],"label_agreement":null},{"id":"W2172241123","doi":"10.1177/0272989x04271040","title":"A Bayesian Approach to Net Health Benefits: An Illustration and Application to Modeling HIV Prevention","year":2004,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"National Institute of Mental Health; Agency for Healthcare Research and Quality","keywords":"Bayes' theorem; Quality-adjusted life year; Human immunodeficiency virus (HIV); Bayesian probability; Statistics; Sampling (signal processing); Cost–benefit analysis; Bayesian inference; Econometrics; Monte Carlo method; Medicine; Cost effectiveness; Actuarial science; Computer science; Mathematics; Economics; Filter (signal processing); Family medicine","score_opus":0.28559403579679826,"score_gpt":0.45349318421533275,"score_spread":0.16789914841853448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2172241123","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008310328,0.0019069654,0.97737676,0.003221855,0.000086114436,0.0001094495,0.00020672739,0.000110627974,0.008671258],"genre_scores_gemma":[0.3914078,0.007453648,0.58636236,0.0011825886,0.00046977765,0.0013806269,0.00027979235,0.00013281088,0.011330602],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99509674,0.003957175,0.00009587992,0.00024024048,0.00046226336,0.0001477047],"domain_scores_gemma":[0.9798252,0.018777432,0.00044029203,0.00027736844,0.0004964619,0.00018338687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012223247,0.001401565,0.0019951693,0.0022418683,0.0011099719,0.002423354,0.0025011196,0.0037829536,0.0076808697],"category_scores_gemma":[0.030998852,0.001130107,0.0019039088,0.0031255705,0.0020665033,0.0029274125,0.0015946514,0.003290206,0.0005779725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008227975,0.00007818297,0.0010934357,0.0001436085,0.00011491858,0.0001721996,0.00014327567,0.57170016,0.00012985247,0.39603403,0.0021614598,0.028146587],"study_design_scores_gemma":[0.00006470654,0.00005545903,0.00036488753,0.000081719314,0.00005254598,0.00013337976,0.000032370073,0.6445859,0.00005062559,0.3517325,0.0028149385,0.000031026797],"about_ca_topic_score_codex":0.015663458,"about_ca_topic_score_gemma":0.015767984,"teacher_disagreement_score":0.015663458,"about_ca_system_score_codex":0.003079378,"about_ca_system_score_gemma":0.002282701,"threshold_uncertainty_score":0.06464344},"labels":[],"label_agreement":null},{"id":"W2290249185","doi":"10.1177/0272989x16635130","title":"Expected Value of Sample Information with Imperfect Implementation","year":2016,"lang":"en","type":"letter","venue":"Medical Decision Making","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Clinical Evaluative Sciences","funders":"","keywords":"Value of information; Sample (material); Value (mathematics); Computer science; Imperfect; Statistics; Econometrics; Actuarial science; Mathematics; Economics; Artificial intelligence","score_opus":0.049879439113442656,"score_gpt":0.4413930489005117,"score_spread":0.391513609787069,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2290249185","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017886,0.0016088238,0.046669625,0.8950787,0.0020235549,0.000077202036,0.00044946445,0.0001256782,0.03608094],"genre_scores_gemma":[0.7802436,0.0018604177,0.023310106,0.17252293,0.0132085765,0.00021650475,0.00012980694,0.00010082387,0.008407224],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9714237,0.019523717,0.0013390701,0.0018135828,0.0044491002,0.0014507866],"domain_scores_gemma":[0.578563,0.39987352,0.0062383837,0.008231397,0.005421982,0.0016716503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.031235782,0.00046924013,0.0015301541,0.0008246067,0.00089281163,0.0048419116,0.0020539938,0.01924321,0.0041463184],"category_scores_gemma":[0.27595642,0.0006128302,0.0009114172,0.0008301981,0.004752563,0.0042812037,0.0014920321,0.016215151,0.00079879386],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021323261,0.00032581246,0.01593142,0.00033673272,0.00038971708,0.008978332,0.0007404076,0.023376154,0.00059837115,0.59620637,0.2103236,0.14066075],"study_design_scores_gemma":[0.00027251284,0.00014394174,0.002843467,0.00021874791,0.00011069346,0.0025078151,0.00021682134,0.0673046,0.000694379,0.9049181,0.020709176,0.000059748712],"about_ca_topic_score_codex":0.0024450074,"about_ca_topic_score_gemma":0.0026092515,"teacher_disagreement_score":0.031235782,"about_ca_system_score_codex":0.0046714814,"about_ca_system_score_gemma":0.0032976968,"threshold_uncertainty_score":0.1651926},"labels":[],"label_agreement":null},{"id":"W2311411644","doi":"10.1177/0272989x16638312","title":"Analyzing Health-Related Quality of Life in the EVOLVE Trial","year":2016,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Parathyroid Disorders and Treatments","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Amgen","keywords":"Cinacalcet; Medicine; Quality of life (healthcare); Placebo; Randomized controlled trial; Clinical trial; Health related quality of life; Hemodialysis; Secondary hyperparathyroidism; Physical therapy; Internal medicine; Alternative medicine","score_opus":0.08450794248199468,"score_gpt":0.4245980359837341,"score_spread":0.3400900935017394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2311411644","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9746336,0.016005341,0.0010627412,0.001213192,0.00022921202,0.0013700947,0.0027749394,0.000045441604,0.0026653674],"genre_scores_gemma":[0.9909373,0.002434736,0.0010082873,0.00056792557,0.00018768491,0.0016361732,0.0024390968,0.000011314887,0.00077747315],"study_design_codex":"randomized_trial","study_design_gemma":"observational","domain_scores_codex":[0.9951998,0.0038042942,0.00020406659,0.0002887317,0.00032479488,0.00017824383],"domain_scores_gemma":[0.9967733,0.0014855403,0.0010275784,0.00023098398,0.00018421673,0.00029833106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063797003,0.0007221991,0.0017384455,0.00029811048,0.00018907218,0.000973202,0.00048704166,0.0007402358,0.0027511755],"category_scores_gemma":[0.006455389,0.00020418521,0.0021406596,0.00048800712,0.0004953298,0.00053588883,0.0006295848,0.0017276971,0.0002060025],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.88459855,0.0024972407,0.041327715,0.0024839514,0.013440677,0.000088858586,0.000087306595,0.0035108293,0.0010721299,0.0009606677,0.0026209462,0.047311183],"study_design_scores_gemma":[0.7165263,0.092649125,0.15734196,0.0007135316,0.012958457,0.00022608649,0.00014042473,0.007247847,0.0019460008,0.0026120297,0.0075347107,0.0001035202],"about_ca_topic_score_codex":0.00050065905,"about_ca_topic_score_gemma":0.00092727406,"teacher_disagreement_score":0.0063797003,"about_ca_system_score_codex":0.0004962748,"about_ca_system_score_gemma":0.00063553004,"threshold_uncertainty_score":0.033739448},"labels":[],"label_agreement":null},{"id":"W2329193078","doi":"10.1177/0272989x15626397","title":"Design Features of Explicit Values Clarification Methods","year":2016,"lang":"en","type":"review","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":124,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; The Quebec Population Health Research Network; Cancer Care Ontario; Queen's University","funders":"","keywords":"Computer science; Publication; Taxonomy (biology); Data extraction; Management science; CINAHL; Selection (genetic algorithm); Multiple-criteria decision analysis; Information retrieval; MEDLINE; Data science; Operations research; Artificial intelligence; Mathematics","score_opus":0.5677519364902025,"score_gpt":0.625225247757608,"score_spread":0.057473311267405514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2329193078","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013784794,0.017450733,0.7989625,0.015012527,0.0023470663,0.07735876,0.0043140673,0.003199814,0.06756981],"genre_scores_gemma":[0.042810977,0.004074303,0.85999286,0.0030471452,0.00025648184,0.08456693,0.0010604458,0.00040654748,0.0037842894],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.70644623,0.21144564,0.051284496,0.00802686,0.02068348,0.0021133863],"domain_scores_gemma":[0.37404755,0.48421615,0.03958459,0.050006308,0.0497656,0.0023798305],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2402056,0.0023422262,0.0018892994,0.0109897,0.0025097115,0.008752902,0.0049312958,0.004494344,0.024229933],"category_scores_gemma":[0.4429967,0.002265254,0.004942298,0.009305185,0.005482266,0.013196156,0.00737455,0.0044122012,0.006697751],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016991748,0.0003559411,0.0035987315,0.084915325,0.0006754881,0.00022958906,0.031322446,0.0013661524,0.0016959336,0.09593602,0.03462972,0.74357545],"study_design_scores_gemma":[0.0025855293,0.00121125,0.003797203,0.1155672,0.001865345,0.0005756142,0.009427613,0.0031438624,0.006867959,0.12667969,0.7278491,0.00042956547],"about_ca_topic_score_codex":0.0011816381,"about_ca_topic_score_gemma":0.0021610167,"teacher_disagreement_score":0.2402056,"about_ca_system_score_codex":0.0060554524,"about_ca_system_score_gemma":0.018926729,"threshold_uncertainty_score":0.93696177},"labels":[],"label_agreement":null},{"id":"W2336378046","doi":"10.1177/0272989x16643940","title":"Linked Sensitivity Analysis, Calibration, and Uncertainty Analysis Using a System Dynamics Model for Stroke Comparative Effectiveness Research","year":2016,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"National Center for Research Resources; Duke-NUS Medical School; U.S. Department of Veterans Affairs","keywords":"Robustness (evolution); Sensitivity (control systems); Uncertainty analysis; Calibration; Computer science; Stroke (engine); Statistics; Simulation; Mathematics; Engineering","score_opus":0.49337474827372163,"score_gpt":0.5373113945109718,"score_spread":0.04393664623725013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2336378046","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020045219,0.00056596263,0.9757589,0.00052148744,0.000058322028,0.0008002995,0.00015836842,0.00011990744,0.0019715887],"genre_scores_gemma":[0.56696695,0.001080313,0.42617738,0.00041504696,0.00010164084,0.0038758346,0.00021591781,0.00007018165,0.0010968107],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.91730124,0.07551242,0.0012235405,0.0022415763,0.002878024,0.0008431865],"domain_scores_gemma":[0.824956,0.16431776,0.004592863,0.002530223,0.003060941,0.0005422494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.075897604,0.0031663869,0.0033637949,0.0062130434,0.0014597944,0.0040148497,0.0024704318,0.0030285923,0.0038334886],"category_scores_gemma":[0.13438311,0.001591069,0.007888032,0.0027423266,0.0030995246,0.0032133625,0.0066062836,0.0051099365,0.00019745895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001521722,0.0001261511,0.002481374,0.0003871653,0.0010637029,0.00017276553,0.00033300638,0.92230433,0.0003518268,0.059400834,0.00034821554,0.012878474],"study_design_scores_gemma":[0.000050230374,0.00020946056,0.00063139,0.00014242862,0.00024230698,0.000028740644,0.000101414844,0.93359524,0.00033499903,0.06383409,0.00076474156,0.00006498918],"about_ca_topic_score_codex":0.008202266,"about_ca_topic_score_gemma":0.0052574323,"teacher_disagreement_score":0.075897604,"about_ca_system_score_codex":0.006253936,"about_ca_system_score_gemma":0.0074068448,"threshold_uncertainty_score":0.40138972},"labels":[],"label_agreement":null},{"id":"W2337644055","doi":"10.1177/0272989x16634085","title":"Effects of Design Features of Explicit Values Clarification Methods","year":2016,"lang":"en","type":"review","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; The Quebec Population Health Research Network","funders":"","keywords":"Regret; CINAHL; Congruence (geometry); Data extraction; Computer science; Context (archaeology); MEDLINE; Psychology; Management science; Social psychology; Psychological intervention; Machine learning","score_opus":0.40922831923926334,"score_gpt":0.5985183872905243,"score_spread":0.18929006805126097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2337644055","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37249202,0.20397453,0.15161376,0.024684375,0.006891523,0.16280091,0.0036896633,0.0019057041,0.07194755],"genre_scores_gemma":[0.60818946,0.025497828,0.22134736,0.005038409,0.0007304968,0.13495132,0.0007513385,0.0003841376,0.003109576],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.48389348,0.39597195,0.07544925,0.007618118,0.034149848,0.00291732],"domain_scores_gemma":[0.14163826,0.7882448,0.039696526,0.013558969,0.015424679,0.0014368698],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.33519295,0.0027041812,0.0034260387,0.0058790226,0.001974962,0.009425514,0.0041668774,0.004608365,0.011816561],"category_scores_gemma":[0.68903846,0.0023798188,0.008327749,0.005332878,0.0034120397,0.010837575,0.0056235096,0.005644927,0.0010311091],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.035598848,0.0020461439,0.013055102,0.24026479,0.01004176,0.00029937873,0.02785327,0.0035781756,0.0014415296,0.013361143,0.0060573313,0.6464026],"study_design_scores_gemma":[0.047700666,0.026118023,0.037379984,0.5841986,0.054453876,0.0006497734,0.02296845,0.010538679,0.019078368,0.051647585,0.1439011,0.0013648863],"about_ca_topic_score_codex":0.0017424562,"about_ca_topic_score_gemma":0.002633373,"teacher_disagreement_score":0.33519295,"about_ca_system_score_codex":0.009588599,"about_ca_system_score_gemma":0.012401157,"threshold_uncertainty_score":0.8198255},"labels":[],"label_agreement":null},{"id":"W2338219775","doi":"10.1177/0272989x16644427","title":"Dissemination of Clinical Practice Guidelines","year":2016,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; McMaster University","funders":"Centers for Disease Control and Prevention; Queensland Health; Canadian Diabetes Association","keywords":"Agency (philosophy); Guideline; Health care; Psychological intervention; Medicine; Target audience; Psychology; Medical education; Nursing; Business; Advertising; Sociology; Political science","score_opus":0.3661973846826643,"score_gpt":0.6576081472958724,"score_spread":0.2914107626132081,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2338219775","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024270942,0.065292984,0.08790447,0.2757333,0.02522774,0.13493156,0.036996216,0.007157921,0.36432868],"genre_scores_gemma":[0.077032454,0.12332069,0.40698028,0.064945616,0.010541689,0.20746423,0.055463944,0.005050066,0.049201168],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.59938514,0.23010725,0.09026508,0.013224233,0.06132658,0.005691728],"domain_scores_gemma":[0.38983032,0.24644452,0.042654548,0.059428755,0.24057993,0.021061955],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.24685788,0.0030830617,0.006174297,0.028487977,0.0045613674,0.020070115,0.011396635,0.017860152,0.08964428],"category_scores_gemma":[0.6303509,0.0037475028,0.0065737064,0.02402792,0.0063091223,0.013815913,0.02002228,0.02084306,0.05809366],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014787428,0.00025782108,0.0010146115,0.040600166,0.0004374481,0.00026653212,0.0039636153,0.0004931343,0.00034236134,0.018829497,0.5483746,0.38527235],"study_design_scores_gemma":[0.0009121791,0.00016830009,0.0020406062,0.13535483,0.00030645178,0.00032268022,0.0014640654,0.000777656,0.00035350106,0.019980563,0.83816594,0.00015321471],"about_ca_topic_score_codex":0.009391547,"about_ca_topic_score_gemma":0.0059276093,"teacher_disagreement_score":0.24685788,"about_ca_system_score_codex":0.017896665,"about_ca_system_score_gemma":0.13527562,"threshold_uncertainty_score":0.9287583},"labels":[],"label_agreement":null},{"id":"W2339677920","doi":"10.1177/0272989x16636113","title":"Extent and Predictors of Decision Regret about Health Care Decisions","year":2016,"lang":"en","type":"review","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":292,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; Université Laval; University of Ottawa","funders":"","keywords":"Regret; MEDLINE; Health care; Psychology; Scale (ratio); Actuarial science; Medicine; Applied psychology; Computer science; Business","score_opus":0.2587543775411541,"score_gpt":0.5321878643264757,"score_spread":0.2734334867853216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2339677920","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13693373,0.844169,0.0028704507,0.0066213394,0.00039090912,0.00033488005,0.0024042618,0.000019937183,0.0062555005],"genre_scores_gemma":[0.7988143,0.19497164,0.0027866268,0.0014483228,0.00040796574,0.00037769147,0.00096452323,0.000011329939,0.00021759293],"study_design_codex":"observational","study_design_gemma":"systematic_review","domain_scores_codex":[0.960444,0.022771655,0.008509198,0.0017988815,0.0058546453,0.0006217076],"domain_scores_gemma":[0.6253262,0.31676012,0.049147308,0.0018780269,0.0059879124,0.0009004288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04005176,0.00049066934,0.0020881353,0.0055505433,0.00051460625,0.003760246,0.000991131,0.001210653,0.0028160443],"category_scores_gemma":[0.20909815,0.0004575104,0.003888294,0.005723114,0.001278319,0.0025611145,0.0015604338,0.0018343909,0.00010193392],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029954964,0.00021675312,0.3479347,0.25887552,0.040469266,0.0006807258,0.0077834725,0.002221589,0.00026852387,0.0076702074,0.0050110235,0.32587287],"study_design_scores_gemma":[0.0008553676,0.0010255332,0.5069276,0.3852029,0.038339797,0.0030963118,0.0077344114,0.00236467,0.0011333314,0.020795338,0.032144032,0.00038063063],"about_ca_topic_score_codex":0.0029607308,"about_ca_topic_score_gemma":0.004055545,"teacher_disagreement_score":0.04005176,"about_ca_system_score_codex":0.0018235875,"about_ca_system_score_gemma":0.0030524167,"threshold_uncertainty_score":0.21181649},"labels":[],"label_agreement":null},{"id":"W2378256387","doi":"","title":"Should patients prescribed long-term low-dose aspirin receive proton pump inhibitors? Systematic review and meta-analysis","year":2014,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Antiplatelet Therapy and Cardiovascular Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Aspirin; Internal medicine; Clopidogrel; Observational study; Randomized controlled trial; Cohort study; Proton-pump inhibitor; Relative risk; Adverse effect; Cohort; Meta-analysis; Medical prescription; Intensive care medicine; Confidence interval; Pharmacology","score_opus":0.0390957876871832,"score_gpt":0.3338881069804447,"score_spread":0.2947923192932615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2378256387","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0044770967,0.99350774,0.00067395385,0.00027663333,0.00021725959,0.00033234962,0.00029183106,0.000022562688,0.00020064849],"genre_scores_gemma":[0.2955012,0.6955846,0.0034996937,0.0015244201,0.0005417984,0.0021356628,0.0008091502,0.000032969703,0.00037050864],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9790829,0.0118430555,0.005312173,0.0017410122,0.0016342411,0.00038655137],"domain_scores_gemma":[0.96353155,0.026991157,0.0062057055,0.001101958,0.0017891473,0.00038037493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.022832267,0.0027078113,0.022246208,0.0062479586,0.0005927198,0.003023363,0.0024549223,0.002821503,0.0037426658],"category_scores_gemma":[0.051700242,0.0018346974,0.037975,0.007070012,0.0008670143,0.0024202864,0.0014293704,0.0020117068,0.00032896886],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017703439,0.000023031454,0.0045499247,0.23413646,0.75214374,0.000087116154,0.00005965809,0.0003396586,0.00007887977,0.000103332895,0.00031395437,0.006393839],"study_design_scores_gemma":[0.0007697972,0.00018539997,0.003133408,0.0201768,0.9741638,0.00007835773,0.000036164045,0.00023564207,0.00007092079,0.00020014614,0.0009297134,0.000019982124],"about_ca_topic_score_codex":0.007883693,"about_ca_topic_score_gemma":0.014526157,"teacher_disagreement_score":0.022832267,"about_ca_system_score_codex":0.0036230346,"about_ca_system_score_gemma":0.0039105327,"threshold_uncertainty_score":0.12074995},"labels":[],"label_agreement":null},{"id":"W2400092153","doi":"10.1177/0272989x16646732","title":"The Role of Decision Models in Health Care Policy","year":2016,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact; Lawson Health Research Institute; Western University","funders":"Canadian Institutes of Health Research","keywords":"Conceptualization; Focus group; Medicaid; Decision aids; Decision model; Coding (social sciences); Health services research; Health care; Decision analysis; Medicine; Psychology; Computer science; Public health; Nursing; Alternative medicine; Artificial intelligence; Statistics; Political science; Business","score_opus":0.018019875677882803,"score_gpt":0.3560188477862532,"score_spread":0.3379989721083704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2400092153","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19447967,0.018842485,0.3412084,0.2573685,0.0012152712,0.001468139,0.00069416873,0.00030763858,0.18441573],"genre_scores_gemma":[0.92552024,0.004049524,0.06426106,0.0038465194,0.00037047363,0.0008186011,0.00016773459,0.000055276498,0.0009105318],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.73830265,0.23552163,0.0049623335,0.0046403017,0.011056081,0.0055170623],"domain_scores_gemma":[0.4389591,0.52501154,0.0157863,0.007182656,0.008291913,0.0047685183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.17412876,0.0018925673,0.0017748424,0.00984761,0.007085477,0.017296245,0.0034985594,0.0051761293,0.0050913864],"category_scores_gemma":[0.24923345,0.0013891706,0.0025601974,0.008153746,0.028557561,0.023111517,0.009205477,0.008529373,0.0005043708],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002540981,0.00031132897,0.012414331,0.0013112284,0.00034583217,0.0003686944,0.024297934,0.028994283,0.00013106308,0.86278915,0.005024363,0.06375767],"study_design_scores_gemma":[0.000094324656,0.00009331522,0.001473416,0.0015221891,0.000057198195,0.00010502884,0.0076262373,0.026392382,0.00014278965,0.9450773,0.017343543,0.000072358824],"about_ca_topic_score_codex":0.010350973,"about_ca_topic_score_gemma":0.006208831,"teacher_disagreement_score":0.17412876,"about_ca_system_score_codex":0.025534073,"about_ca_system_score_gemma":0.027398081,"threshold_uncertainty_score":0.9208919},"labels":[],"label_agreement":null},{"id":"W2403992605","doi":"10.1177/0272989x16650181","title":"Underestimation of Variance of Predicted Health Utilities Derived from Multiattribute Utility Instruments","year":2016,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; St. Joseph’s Healthcare Hamilton; Canadian Centre for Applied Research in Cancer Control; Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Statistics; Imputation (statistics); Bayesian probability; Econometrics; Standard error; Standard deviation; Population; Prior probability; Bayes' theorem; Mathematics; Missing data; Medicine","score_opus":0.3380654660943516,"score_gpt":0.45565146847164334,"score_spread":0.11758600237729172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2403992605","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49260017,0.0061496715,0.49341252,0.0017265059,0.00026641638,0.0002825403,0.0010394626,0.0004598886,0.004062873],"genre_scores_gemma":[0.97393996,0.00036990654,0.024288682,0.00046296604,0.000083080165,0.00014101608,0.00044953078,0.00007794773,0.00018678744],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.8793587,0.09327549,0.005904787,0.008209533,0.012367491,0.0008840598],"domain_scores_gemma":[0.6182465,0.3204334,0.024637826,0.026456008,0.009787859,0.00043840776],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.100261636,0.00092724845,0.0010490728,0.0017134331,0.00043630713,0.0021447928,0.0013790125,0.00096339453,0.00068519026],"category_scores_gemma":[0.30735403,0.0006445079,0.0016196674,0.0020837311,0.0015206764,0.0018852483,0.002283408,0.0018874302,0.00021012158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009669018,0.0002307154,0.7290061,0.00091280177,0.00508151,0.0003086376,0.0036861876,0.047964312,0.0019109395,0.012160063,0.002865141,0.19490659],"study_design_scores_gemma":[0.000138576,0.0006163995,0.7784583,0.001552498,0.0018314245,0.001684025,0.0008448621,0.15112,0.008262249,0.048031624,0.007180201,0.00027992387],"about_ca_topic_score_codex":0.0032631473,"about_ca_topic_score_gemma":0.002776999,"teacher_disagreement_score":0.8997384,"about_ca_system_score_codex":0.0016717218,"about_ca_system_score_gemma":0.00097481115,"threshold_uncertainty_score":0.53024054},"labels":[],"label_agreement":null},{"id":"W2415915394","doi":"10.1177/0272989x16651885","title":"Handling Regional Variation in Health State Preferences within a Country","year":2016,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hospital for Sick Children; McMaster University; Public Health Ontario; University of Toronto; University of Alberta","funders":"","keywords":"Estimator; Jurisdiction; Regional variation; Valuation (finance); Health care; Population; Estimation; Variation (astronomy); Computer science; Statistics; Econometrics; Medicine; Mathematics; Economics; Business; Political science; Environmental health; Economic growth","score_opus":0.33589835849134747,"score_gpt":0.4612256250656939,"score_spread":0.12532726657434645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2415915394","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7218566,0.00084121455,0.26672962,0.0013751583,0.000107050575,0.00037421164,0.0014108534,0.00021201838,0.007093282],"genre_scores_gemma":[0.9584794,0.00012405997,0.04012018,0.00022085708,0.0000221916,0.0002884533,0.0004316646,0.000056101475,0.0002570918],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.97515815,0.018383946,0.0012352883,0.002812466,0.0018887253,0.000521448],"domain_scores_gemma":[0.8847244,0.08784052,0.011210825,0.008879396,0.0067496086,0.0005952596],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.038677964,0.0005022582,0.00092843757,0.0014422608,0.0008861333,0.0022336238,0.0011692573,0.0007079813,0.0026433168],"category_scores_gemma":[0.124526635,0.00041485362,0.0016178718,0.0023577723,0.001456294,0.0014916635,0.0020161327,0.0013783788,0.00017083777],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013080307,0.0002058089,0.6935325,0.0009286655,0.0029932952,0.0009924838,0.0132319,0.08269358,0.0035140645,0.02184595,0.0059937974,0.17275992],"study_design_scores_gemma":[0.00019461525,0.000637296,0.6876919,0.000704241,0.001146943,0.0011041083,0.011123404,0.1832233,0.00624214,0.092347555,0.015244879,0.00033947235],"about_ca_topic_score_codex":0.02480159,"about_ca_topic_score_gemma":0.025836486,"teacher_disagreement_score":0.961322,"about_ca_system_score_codex":0.0020348597,"about_ca_system_score_gemma":0.0020211653,"threshold_uncertainty_score":0.20455104},"labels":[],"label_agreement":null},{"id":"W2416639700","doi":"10.1177/0272989x16662242","title":"Determinants of Change in the Cost-effectiveness Threshold","year":2016,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Endowment; Publishing; Statement (logic); Independence (probability theory); Political science; Library science; Public relations; Accounting; Management; Economics; Law; Computer science","score_opus":0.5897847189267643,"score_gpt":0.5298265753517177,"score_spread":0.059958143575046585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2416639700","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4575631,0.042948216,0.22515221,0.057919525,0.0010868686,0.0011921104,0.009889495,0.0007054074,0.203543],"genre_scores_gemma":[0.98416406,0.0036143442,0.007410783,0.0010508155,0.00020523164,0.00020352578,0.00047252525,0.00005661266,0.0028221465],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99282163,0.0028081345,0.00064732,0.0009211176,0.0014296785,0.0013720974],"domain_scores_gemma":[0.93783104,0.050885912,0.006298587,0.0014848054,0.0024825148,0.0010171939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012179064,0.00070841255,0.0017508551,0.0033694694,0.00054766325,0.0055213654,0.0012857077,0.0022868381,0.0109216515],"category_scores_gemma":[0.075929716,0.00059904694,0.0020435883,0.0028972751,0.002260469,0.0064406223,0.001908374,0.0036017594,0.00042339487],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039306868,0.00025209732,0.047545016,0.001474094,0.0011190545,0.0005174196,0.00035347647,0.13323526,0.0012979119,0.7303781,0.005891941,0.07754261],"study_design_scores_gemma":[0.00014547787,0.0004214786,0.11643286,0.0008242441,0.0009099775,0.0008916088,0.0007245128,0.06454433,0.0015883615,0.7870872,0.02622991,0.0002000458],"about_ca_topic_score_codex":0.0047021485,"about_ca_topic_score_gemma":0.0026324764,"teacher_disagreement_score":0.012179064,"about_ca_system_score_codex":0.0067596757,"about_ca_system_score_gemma":0.002245831,"threshold_uncertainty_score":0.06440979},"labels":[],"label_agreement":null},{"id":"W2433178472","doi":"10.1177/0272989x16654444","title":"Using Survival Analysis to Improve Estimates of Life Year Gains in Policy Evaluations","year":2016,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Advancing Health Outcomes; University of British Columbia","funders":"National Institute for Health and Care Research","keywords":"Life expectancy; Population; Medicine; Survival analysis; Cohort; Quality-adjusted life year; Demography; Years of potential life lost; Relative survival; Gerontology; Cost effectiveness; Surgery; Environmental health; Cancer registry; Internal medicine","score_opus":0.45798793401025295,"score_gpt":0.5515188494908664,"score_spread":0.09353091548061343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2433178472","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14257878,0.0058382237,0.83129025,0.0035037512,0.0006469554,0.0023412,0.004123548,0.00068129675,0.008995927],"genre_scores_gemma":[0.8074459,0.0013045857,0.18482216,0.00078956917,0.00018897494,0.0027212182,0.0017898864,0.00017814965,0.00075958704],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.7894291,0.19482882,0.0052734655,0.0035127816,0.005561249,0.0013945976],"domain_scores_gemma":[0.37817827,0.58967084,0.015312238,0.009145341,0.0069127786,0.0007804995],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.20732003,0.0031955133,0.003096398,0.008932482,0.0007170188,0.0029512811,0.001923517,0.0021974454,0.006443546],"category_scores_gemma":[0.4305482,0.0011270269,0.008006031,0.0056041447,0.001993309,0.0053253863,0.004315628,0.00644981,0.00044337776],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022495587,0.00052396045,0.08535228,0.0025633206,0.010819585,0.00040036396,0.0010383588,0.69949,0.00040191316,0.04425432,0.0047313883,0.14817494],"study_design_scores_gemma":[0.00056454114,0.0025838306,0.033021376,0.0022250405,0.0026171168,0.00026395314,0.00051537965,0.81807345,0.001871727,0.12979245,0.008200183,0.00027094572],"about_ca_topic_score_codex":0.009007654,"about_ca_topic_score_gemma":0.0055840597,"teacher_disagreement_score":0.79267997,"about_ca_system_score_codex":0.0046020956,"about_ca_system_score_gemma":0.0045314077,"threshold_uncertainty_score":0.9775155},"labels":[],"label_agreement":null},{"id":"W2441281755","doi":"10.1177/0272989x16653397","title":"Why Do Health Economists Promote Technology Adoption Rather Than the Search for Efficiency? A Proposal for a Change in Our Approach to Economic Evaluation in Health Care","year":2016,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Coastal Health Research Institute; University of British Columbia; Vancouver Coastal Health","funders":"","keywords":"Disinvestment; Health technology; Scarcity; Redress; Population health; Health economics; Health care; Economics; Argument (complex analysis); Value (mathematics); Public economics; Process (computing); Population; Emerging technologies; Actuarial science; Business; Risk analysis (engineering); Medicine; Computer science; Microeconomics; Political science; Economic growth","score_opus":0.31954636437603084,"score_gpt":0.50318503793997,"score_spread":0.1836386735639392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2441281755","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0039236783,0.014983001,0.08691265,0.8719345,0.0021350805,0.0001410094,0.00005977209,0.00008894692,0.019821405],"genre_scores_gemma":[0.5319227,0.027445946,0.14682798,0.26740086,0.014639945,0.0012743882,0.00006460974,0.00035578932,0.010067751],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.8775689,0.096333236,0.003783306,0.004181381,0.015419757,0.0027135303],"domain_scores_gemma":[0.679298,0.27720246,0.009574585,0.010526611,0.020542184,0.0028561717],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.19323215,0.001726626,0.003907562,0.0069079683,0.0035102987,0.019126805,0.0040029385,0.015535719,0.004068955],"category_scores_gemma":[0.3018179,0.0010809592,0.0023196938,0.0075399657,0.050390154,0.035325278,0.0074571273,0.02512884,0.0008744115],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056845547,0.000049371316,0.00060614094,0.00025004742,0.0000665099,0.000029631618,0.00047559824,0.0017713028,0.0000416582,0.9762889,0.008105351,0.012258742],"study_design_scores_gemma":[0.00009200959,0.000049111524,0.00028444873,0.00041513104,0.000026607853,0.000020293717,0.00034940476,0.00229244,0.00010479473,0.97744125,0.018878562,0.00004601631],"about_ca_topic_score_codex":0.0055690194,"about_ca_topic_score_gemma":0.0045855637,"teacher_disagreement_score":0.8067678,"about_ca_system_score_codex":0.01330475,"about_ca_system_score_gemma":0.012929275,"threshold_uncertainty_score":0.99488837},"labels":[],"label_agreement":null},{"id":"W2463735421","doi":"10.1177/0272989x16655346","title":"Quantitative Framework for Retrospective Assessment of Interim Decisions in Clinical Trials","year":2016,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Interim; Management science; Neglect; Clinical trial; Interim analysis; Set (abstract data type); Dimension (graph theory); Outcome (game theory); Probabilistic logic; Focus (optics); Computer science; Epistemology; Psychology; Medicine; Political science; Artificial intelligence; Economics; Mathematics; Law","score_opus":0.8337389509473252,"score_gpt":0.7541194232979128,"score_spread":0.07961952764941238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2463735421","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013609516,0.00046574778,0.9935912,0.001384641,0.000094557,0.00018147976,0.00010112601,0.00006417559,0.0027561702],"genre_scores_gemma":[0.14537665,0.0011643945,0.8487191,0.0007076183,0.0004012042,0.001495868,0.00018972231,0.000090381676,0.0018550257],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.90752035,0.077776305,0.0032465209,0.002952534,0.007521017,0.0009832628],"domain_scores_gemma":[0.8345822,0.13755521,0.011477659,0.0069789286,0.0079899365,0.0014160002],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.10336791,0.0023226761,0.0017975047,0.0031186917,0.0011606351,0.0063353153,0.003442148,0.003320223,0.0059626373],"category_scores_gemma":[0.17272885,0.0011741483,0.0022147493,0.0021436277,0.0060811727,0.007524021,0.0030189352,0.005534976,0.0009715807],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057625693,0.000034411285,0.00046671272,0.0001856979,0.00008174554,0.000064195374,0.00035066737,0.0527905,0.00025803444,0.9300845,0.0008754921,0.014750448],"study_design_scores_gemma":[0.00004125618,0.0001428934,0.00023886093,0.00018179763,0.000058836602,0.000064736625,0.00008400687,0.12762314,0.00038902217,0.86441594,0.0067109363,0.00004860387],"about_ca_topic_score_codex":0.001484769,"about_ca_topic_score_gemma":0.0011315682,"teacher_disagreement_score":0.8966321,"about_ca_system_score_codex":0.0038572906,"about_ca_system_score_gemma":0.006804792,"threshold_uncertainty_score":0.5466683},"labels":[],"label_agreement":null},{"id":"W2481965157","doi":"10.1177/0272989x16660711","title":"Using Simulation to Model and Validate Invasive Breast Cancer Progression in Women in the Study and Control Groups of the Canadian National Breast Screening Studies I and II","year":2016,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; Public Health Ontario; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Health Canada","keywords":"Medicine; Breast cancer; Mammography; Cancer; Breast cancer screening; Gerontology; Internal medicine","score_opus":0.13096581636416382,"score_gpt":0.4384319024398323,"score_spread":0.3074660860756685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2481965157","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9560787,0.00081805774,0.03434584,0.0012146009,0.00009593619,0.0005153244,0.0033781768,0.00024369446,0.003309635],"genre_scores_gemma":[0.98259777,0.0003356478,0.01238303,0.00020562028,0.000015908716,0.00032829997,0.0031615854,0.000023480727,0.0009486705],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977496,0.0012505569,0.00008254038,0.0002936881,0.00025356424,0.0003700233],"domain_scores_gemma":[0.9826916,0.012767597,0.0013127165,0.00074798905,0.001973967,0.00050614803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010620752,0.0010132596,0.0009296909,0.0012865767,0.0011013697,0.0011146527,0.0016406868,0.0012756604,0.0015390788],"category_scores_gemma":[0.028156288,0.0006026771,0.0016370277,0.0012708107,0.000891921,0.00052203744,0.0007608519,0.0013889082,0.00015905107],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005916469,0.00018836556,0.11284037,0.00008534398,0.0004036317,0.00011260636,0.0003128584,0.872102,0.00019961773,0.0046037254,0.0012171332,0.0073428294],"study_design_scores_gemma":[0.00015223848,0.00010381841,0.014256313,0.000032354023,0.00010081088,0.000019665784,0.00009645264,0.98259765,0.00015262954,0.0017349708,0.0007233634,0.000029673924],"about_ca_topic_score_codex":0.8147327,"about_ca_topic_score_gemma":0.6643131,"teacher_disagreement_score":0.18526733,"about_ca_system_score_codex":0.012630984,"about_ca_system_score_gemma":0.014924537,"threshold_uncertainty_score":0.37271678},"labels":[],"label_agreement":null},{"id":"W2514144324","doi":"10.1177/0272989x16670616","title":"Using Discrete Choice Experiments with Duration to Model EQ-5D-5L Health State Preferences","year":2016,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Duration (music); EQ-5D; Discrete choice; Econometrics; Medicine; Statistics; Computer science; Mathematics; Health related quality of life","score_opus":0.5593668936041863,"score_gpt":0.5074657157812797,"score_spread":0.0519011778229066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2514144324","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70751595,0.000407823,0.27805924,0.0004044757,0.0002235321,0.009057216,0.00079628295,0.00016210032,0.0033733596],"genre_scores_gemma":[0.7279108,0.00028621286,0.23363926,0.00042398606,0.00009709156,0.035152063,0.00059202965,0.000028210936,0.0018702826],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.93111014,0.0619748,0.0017315522,0.002670574,0.0018085334,0.0007042749],"domain_scores_gemma":[0.6136557,0.356311,0.017313842,0.009639631,0.0021657865,0.0009141057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.078515485,0.001451632,0.0013703933,0.00078224554,0.0006350629,0.0020252736,0.0017443997,0.0022758336,0.006257979],"category_scores_gemma":[0.13530886,0.0010943599,0.0025667765,0.0008278129,0.0027077186,0.0025328093,0.0018320516,0.0034942164,0.0004776922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.117717266,0.038620435,0.11060142,0.0065151756,0.007557322,0.0004973867,0.0130736865,0.35448778,0.02455411,0.12528041,0.0028640134,0.19823104],"study_design_scores_gemma":[0.032734737,0.15233211,0.070635945,0.0010191839,0.0027594916,0.00027505937,0.0014039704,0.51445407,0.019750979,0.18879424,0.014852559,0.0009876522],"about_ca_topic_score_codex":0.0011370297,"about_ca_topic_score_gemma":0.0009548832,"teacher_disagreement_score":0.078515485,"about_ca_system_score_codex":0.002211879,"about_ca_system_score_gemma":0.0016686734,"threshold_uncertainty_score":0.4152345},"labels":[],"label_agreement":null},{"id":"W2525874109","doi":"10.1177/0272989x16670638","title":"Understanding the Effects of Competition for Constrained Colonoscopy Services with the Introduction of Population-level Colorectal Cancer Screening","year":2016,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; Dalhousie University","funders":"Canadian Institutes of Health Research","keywords":"Colonoscopy; Colorectal cancer; Medicine; Population; Cancer; Environmental health; Internal medicine","score_opus":0.03754278899380787,"score_gpt":0.318556062930486,"score_spread":0.28101327393667813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2525874109","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95349526,0.00016145928,0.02989016,0.0018275479,0.000025570576,0.00015007435,0.0006388695,0.00004831525,0.013762763],"genre_scores_gemma":[0.9963871,0.00007906024,0.0022933471,0.00008115677,0.0000051291045,0.0000445041,0.0001047447,0.000005835619,0.0009990425],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9991605,0.00045608266,0.00001946308,0.000100434685,0.0000740213,0.0001895509],"domain_scores_gemma":[0.99483794,0.0038302708,0.0005314666,0.00012244802,0.0003513706,0.00032649972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016560246,0.0004918135,0.00040322024,0.0003812154,0.00048354312,0.0013304594,0.0010329757,0.0010643748,0.0047664675],"category_scores_gemma":[0.008732517,0.0003258484,0.0008423782,0.00051847124,0.00076428184,0.0012452928,0.0010060449,0.0010693677,0.00012658618],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007277345,0.000080703656,0.013764889,0.000026274882,0.000028614071,0.00007435563,0.000064737585,0.97847867,0.00019188909,0.005247372,0.00031800175,0.0016516794],"study_design_scores_gemma":[0.000051881794,0.00013257367,0.006229278,0.000012243153,0.00003457401,0.000022573991,0.00017384416,0.9889902,0.00013308898,0.0037349036,0.00047273727,0.000012148942],"about_ca_topic_score_codex":0.17813687,"about_ca_topic_score_gemma":0.11588893,"teacher_disagreement_score":0.17813687,"about_ca_system_score_codex":0.005732573,"about_ca_system_score_gemma":0.0058912057,"threshold_uncertainty_score":0.3542},"labels":[],"label_agreement":null},{"id":"W2526000330","doi":"","title":"Patients' outcomes and preferences for the induction and maintenance of anaesthesia for day surgery.","year":2002,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Health Economics","funders":"","keywords":"Medicine; Anesthesia; Regional anaesthesia","score_opus":0.040634499102576986,"score_gpt":0.30430405541188726,"score_spread":0.26366955630931027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2526000330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930414,0.0005495969,0.00015728513,0.0022032666,0.000026942489,0.000012987067,0.00034214355,0.000002505791,0.0036638065],"genre_scores_gemma":[0.9995372,0.00007730367,0.00008173465,0.00011498963,0.000010475402,0.0000054543757,0.000109432105,8.8226074e-7,0.00006257049],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99746084,0.0015192049,0.00022091865,0.000105295185,0.00036635555,0.00032735182],"domain_scores_gemma":[0.98657435,0.0069966293,0.0034339803,0.0001707781,0.00050153234,0.0023228491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002733815,0.00013131599,0.00020538567,0.00050923025,0.00048486708,0.0011686166,0.00030179514,0.0007064352,0.0043074996],"category_scores_gemma":[0.028072115,0.00006842972,0.0004826537,0.00053424225,0.0004961641,0.0006977527,0.00047794427,0.0009963058,0.00032958257],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035639673,0.0007723528,0.93005264,0.000105161445,0.00042278093,0.00052482955,0.0021319955,0.0013762999,0.0004246559,0.0027222168,0.005447048,0.05245593],"study_design_scores_gemma":[0.00041066163,0.0018163964,0.95554256,0.00023459052,0.00025617526,0.0017887542,0.010043935,0.006775626,0.0007172229,0.017588759,0.0046934085,0.00013174405],"about_ca_topic_score_codex":0.0013327859,"about_ca_topic_score_gemma":0.0028282325,"teacher_disagreement_score":0.0043074996,"about_ca_system_score_codex":0.00054580386,"about_ca_system_score_gemma":0.0007385517,"threshold_uncertainty_score":0.014457941},"labels":[],"label_agreement":null},{"id":"W2547171731","doi":"10.1177/0272989x16675338","title":"Toward Optimal Decision Making among Vulnerable Patients Referred for Cardiac Surgery: A Qualitative Analysis of Patient and Provider Perspectives","year":2016,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Canadian Institutes of Health Research","keywords":"Focus group; Autonomy; Medicine; Informed consent; Intensive care unit; Comprehension; Psychological intervention; Population; Qualitative research; Family medicine; Nursing; Intensive care medicine; Alternative medicine","score_opus":0.17077824414577805,"score_gpt":0.48298343375879954,"score_spread":0.31220518961302146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2547171731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99029094,0.000664897,0.0026754085,0.003373782,0.00006379168,0.00022793778,0.00024167524,0.000014438156,0.0024471628],"genre_scores_gemma":[0.99534,0.00078722165,0.001659691,0.00086847047,0.000019130819,0.00026919937,0.000098461656,0.000019529547,0.0009382993],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.98613364,0.010871009,0.00042568005,0.0004941103,0.0008429045,0.001232668],"domain_scores_gemma":[0.9677012,0.026518788,0.0017626709,0.00039689662,0.001976899,0.0016435431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017392972,0.0005193427,0.0006488712,0.0016380084,0.005058222,0.0035825116,0.0014541667,0.0013713235,0.0021013212],"category_scores_gemma":[0.030159654,0.00062350655,0.0005053571,0.0013354486,0.005509742,0.0035399373,0.004250004,0.0026518435,0.00021374035],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039674258,0.000022371858,0.0030367225,0.00011873171,0.0000063497464,0.00043087345,0.9924136,0.000029981251,0.0005333471,0.00042882338,0.0003172653,0.0026222984],"study_design_scores_gemma":[0.000003948648,0.000028516044,0.0014691617,0.00012564099,0.000003946032,0.00015127486,0.99487334,0.000091711554,0.00019557685,0.00021575301,0.002828612,0.000012436157],"about_ca_topic_score_codex":0.007855577,"about_ca_topic_score_gemma":0.009514875,"teacher_disagreement_score":0.017392972,"about_ca_system_score_codex":0.0046294853,"about_ca_system_score_gemma":0.0059800325,"threshold_uncertainty_score":0.091983974},"labels":[],"label_agreement":null},{"id":"W2569472942","doi":"10.1177/0272989x16686559","title":"An Overview of R in Health Decision Sciences","year":2017,"lang":"en","type":"review","venue":"Medical Decision Making","topic":"Statistical Methods in Epidemiology","field":"Mathematics","cited_by":103,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"National Cancer Institute","keywords":"Management science; Medicine; Computer science; Engineering","score_opus":0.8151315280256409,"score_gpt":0.7247683365535923,"score_spread":0.09036319147204863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2569472942","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00039337,0.8243134,0.12572339,0.018780218,0.0033819377,0.0006133609,0.003398832,0.002704798,0.020690674],"genre_scores_gemma":[0.006776449,0.8370963,0.13123311,0.006752547,0.0063595404,0.0029428448,0.0034522149,0.0014655383,0.0039215386],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9610664,0.024890652,0.005200162,0.0024134961,0.0059305984,0.0004985977],"domain_scores_gemma":[0.8955769,0.084385835,0.005572979,0.005464286,0.00791528,0.0010847748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.032323208,0.002647618,0.0036397113,0.010980458,0.00077695126,0.0038828845,0.00456056,0.0046855505,0.018661754],"category_scores_gemma":[0.09130471,0.0011395339,0.0030063703,0.015346775,0.0037832893,0.0033945516,0.002891251,0.0058289827,0.021973386],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010291734,0.00007021091,0.00072211935,0.035775706,0.0005557094,0.0003410559,0.00041532077,0.002607984,0.00066804065,0.07205948,0.17342371,0.71325773],"study_design_scores_gemma":[0.000047527123,0.00008087644,0.00096078636,0.012759264,0.00020246189,0.0006770141,0.000080139056,0.0010647891,0.00047427305,0.059992876,0.9235623,0.00009775901],"about_ca_topic_score_codex":0.0025996617,"about_ca_topic_score_gemma":0.0017643261,"teacher_disagreement_score":0.032323208,"about_ca_system_score_codex":0.0019617782,"about_ca_system_score_gemma":0.01071856,"threshold_uncertainty_score":0.1709435},"labels":[],"label_agreement":null},{"id":"W2575365675","doi":"10.1177/0272989x16683928","title":"Estimating State Transitions for Opioid Use Disorders","year":2016,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"AIDS Vancouver; Simon Fraser University; University of British Columbia","funders":"National Institute on Drug Abuse","keywords":"Heroin; Detoxification (alternative medicine); Hazard ratio; Opioid use disorder; Medicine; Methadone; Proportional hazards model; Prison; Opioid; Medical prescription; Internal medicine; Demography; Psychiatry; Psychology; Pharmacology; Drug","score_opus":0.023586691782234565,"score_gpt":0.3425481686181257,"score_spread":0.31896147683589116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2575365675","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.959682,0.00028913654,0.033332203,0.00033835688,0.000024362173,0.00012926116,0.0052608396,0.00016357962,0.00078024814],"genre_scores_gemma":[0.9864774,0.00011408945,0.008158343,0.00004122678,0.00000943699,0.00012858679,0.004468764,0.000012511093,0.00058964116],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990823,0.00035722763,0.000060018003,0.0003588293,0.00004646469,0.00009516268],"domain_scores_gemma":[0.994768,0.0032440436,0.0012209131,0.00026033964,0.0002863706,0.00022028337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003239986,0.00039763458,0.0004348462,0.0014376211,0.0005637901,0.0010629978,0.00068330497,0.00059993425,0.0027969743],"category_scores_gemma":[0.01184502,0.0005064993,0.0014368341,0.00076950854,0.00037496592,0.0012515223,0.0014888566,0.0010367152,0.00028938454],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023471392,0.00010251282,0.93626785,0.000067312045,0.00034637496,0.00005095975,0.00044001982,0.048093244,0.0001365215,0.0021075266,0.0009541655,0.01119883],"study_design_scores_gemma":[0.00006326147,0.00031803906,0.4406281,0.00013292364,0.0002486732,0.0001574388,0.0011969246,0.5445768,0.00047995223,0.010103182,0.0020337433,0.000060947194],"about_ca_topic_score_codex":0.04260534,"about_ca_topic_score_gemma":0.04074364,"teacher_disagreement_score":0.04260534,"about_ca_system_score_codex":0.0014943976,"about_ca_system_score_gemma":0.0012681566,"threshold_uncertainty_score":0.08471471},"labels":[],"label_agreement":null},{"id":"W2588254687","doi":"10.1177/0272989x17691954","title":"Experienced Probabilities Increase Understanding of Diagnostic Test Results in Younger and Older Adults","year":2017,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Test (biology); Diagnostic test; Psychology; Medicine; Gerontology; Pediatrics","score_opus":0.20146806354432098,"score_gpt":0.4574371396016214,"score_spread":0.25596907605730046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588254687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998033,0.00018782647,0.0002968851,0.00015809442,0.000007976182,0.000014390179,0.000025476753,0.000006356572,0.0012700119],"genre_scores_gemma":[0.9987471,0.00017502428,0.0004044771,0.00017623157,0.000017198201,0.000012595344,0.000035922363,0.0000029012501,0.00042859468],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990619,0.00036772902,0.00009227737,0.0001287198,0.00025840887,0.00009093966],"domain_scores_gemma":[0.98709303,0.0069029834,0.0036995797,0.00048629267,0.0009416867,0.00087641814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026261478,0.0003280656,0.00026110915,0.0005621604,0.00033695827,0.0011676797,0.00021477159,0.00083612575,0.006028031],"category_scores_gemma":[0.027209379,0.00027953082,0.0002874671,0.00011638519,0.00060021563,0.0016863438,0.0013121127,0.0007027464,0.0003812105],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001241268,0.0013773392,0.7378378,0.00047618756,0.00013370252,0.0010345924,0.1511018,0.0005138639,0.011143322,0.0008302135,0.0022085956,0.09210125],"study_design_scores_gemma":[0.00013035057,0.0020191951,0.93964064,0.00031420647,0.00012271783,0.0014155055,0.044738673,0.0021282658,0.0022636633,0.0021763626,0.004968231,0.000082149236],"about_ca_topic_score_codex":0.0021300227,"about_ca_topic_score_gemma":0.0016737473,"teacher_disagreement_score":0.006028031,"about_ca_system_score_codex":0.00043105218,"about_ca_system_score_gemma":0.00036112982,"threshold_uncertainty_score":0.020165741},"labels":[],"label_agreement":null},{"id":"W2604229464","doi":"10.1177/0272989x17700879","title":"Comparative Effectiveness of Tacrolimus-Based Steroid Sparing versus Steroid Maintenance Regimens in Kidney Transplantation: Results from Discrete Event Simulation","year":2017,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Medicine; Regimen; Tacrolimus; Kidney transplantation; Adverse effect; Population; Internal medicine; Transplantation","score_opus":0.054981863078901884,"score_gpt":0.4029302360836915,"score_spread":0.3479483730047896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604229464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9787425,0.0015897384,0.016222525,0.0004672247,0.00007152298,0.0003087744,0.0007611371,0.00009323491,0.0017433913],"genre_scores_gemma":[0.99469143,0.0003089975,0.0039902944,0.00009174429,0.000021227861,0.00018753872,0.00044262034,0.000012137771,0.00025393403],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964785,0.0027319356,0.00018985131,0.00021460168,0.0001834467,0.0002017477],"domain_scores_gemma":[0.87952334,0.114052214,0.0027375962,0.0011436294,0.0013890673,0.0011541533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012074085,0.00088887184,0.0021284583,0.0008960945,0.0003068226,0.0009579504,0.0010146328,0.00097255636,0.0021023722],"category_scores_gemma":[0.032847792,0.00036193166,0.0025356407,0.0006391448,0.00054728496,0.0006629109,0.0007486523,0.001264139,0.0001246926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009106876,0.0011514295,0.011294847,0.00025740353,0.0011268858,0.000047952166,0.000060239352,0.96586746,0.00019425315,0.001299406,0.0003616016,0.009231694],"study_design_scores_gemma":[0.0015436341,0.0034298776,0.0042583584,0.000046119418,0.00059355475,0.000040236315,0.00006951901,0.9875143,0.00041401488,0.0018095312,0.00025108753,0.000029832958],"about_ca_topic_score_codex":0.0068919514,"about_ca_topic_score_gemma":0.0028739297,"teacher_disagreement_score":0.012074085,"about_ca_system_score_codex":0.0017085074,"about_ca_system_score_gemma":0.0018103791,"threshold_uncertainty_score":0.063854635},"labels":[],"label_agreement":null},{"id":"W2608521041","doi":"10.1177/0272989x17696999","title":"An Approach to Reconciling Competing Ethical Principles in Aggregating Heterogeneous Health Preferences","year":2017,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; Social Sciences and Humanities Research Council of Canada; National Institutes of Health","keywords":"Preference; Social choice theory; Set (abstract data type); Social preferences; Psychological intervention; Aggregation problem; Quality (philosophy); Quality of life (healthcare); Psychology; Actuarial science; Management science; Social psychology; Economics; Computer science; Microeconomics","score_opus":0.5507894761827204,"score_gpt":0.5235710952411564,"score_spread":0.027218380941564035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2608521041","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010952806,0.00024713314,0.95282876,0.010595748,0.0001432033,0.0005841093,0.00012739899,0.000055781904,0.024465052],"genre_scores_gemma":[0.3282819,0.00032218816,0.66359913,0.0019680297,0.00027699073,0.0023521131,0.00012074593,0.000068767265,0.003010156],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.84489113,0.13069054,0.0039269594,0.0056757657,0.012563112,0.0022525913],"domain_scores_gemma":[0.8233817,0.1379249,0.010229701,0.017764315,0.008993565,0.0017058334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.11946834,0.0017920851,0.0018412864,0.003369798,0.0037077705,0.009381005,0.0043005417,0.0064623076,0.0069131],"category_scores_gemma":[0.17866805,0.0009848933,0.0036535733,0.0038196614,0.014402912,0.009456985,0.009170372,0.007965808,0.0006169604],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042001357,0.00007206994,0.0006491586,0.00011466025,0.0001025283,0.00014454329,0.0010755803,0.01427882,0.00019257233,0.964306,0.0010835899,0.017938582],"study_design_scores_gemma":[0.0000351655,0.000035971803,0.0001884847,0.00008924699,0.000034841934,0.000058584003,0.00024508973,0.022299375,0.00023830334,0.9726562,0.004095747,0.000023104389],"about_ca_topic_score_codex":0.0017954158,"about_ca_topic_score_gemma":0.0024687578,"teacher_disagreement_score":0.11946834,"about_ca_system_score_codex":0.007154912,"about_ca_system_score_gemma":0.010667321,"threshold_uncertainty_score":0.6318165},"labels":[],"label_agreement":null},{"id":"W2619539940","doi":"10.1177/0272989x17708564","title":"The Effect of Individual Movements and Interventions on the Spread of Influenza in Long-Term Care Facilities","year":2017,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University; University of Toronto; Sunnybrook Health Science Centre","funders":"Compute Canada","keywords":"Medicine; Psychological intervention; Isolation (microbiology); Infection control; Repeated measures design; Long-term care; Vaccination; Intervention (counseling); Emergency medicine; Analysis of variance; Outbreak; Demography; Intensive care medicine; Internal medicine; Nursing; Immunology; Virology; Statistics","score_opus":0.039827498520783336,"score_gpt":0.38861993972272335,"score_spread":0.34879244120194003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2619539940","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99797446,0.00013510435,0.0012390445,0.00013932856,0.0000057942448,0.000029854804,0.00006678775,0.000017333065,0.00039231873],"genre_scores_gemma":[0.9993693,0.00004671155,0.00041946006,0.00003406073,0.0000026995474,0.000019049916,0.000046087986,0.000001502844,0.000060963914],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974388,0.0016854804,0.00007198615,0.00022909943,0.00020578333,0.00036880161],"domain_scores_gemma":[0.989096,0.007573658,0.0016406425,0.0004922021,0.00046119094,0.000736388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004099542,0.00055915985,0.00030172642,0.00034887242,0.0003473872,0.0005139734,0.0008828212,0.0006997485,0.00089762494],"category_scores_gemma":[0.019085648,0.0001707446,0.00073530304,0.00020829302,0.00045742386,0.00041224385,0.00082313194,0.00046712565,0.00007085975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029785435,0.0023267819,0.60997754,0.0003688235,0.0020605763,0.00025133905,0.00047586503,0.29735705,0.004613881,0.0010472562,0.00044894227,0.07809345],"study_design_scores_gemma":[0.0003128335,0.010494881,0.80048466,0.000110890534,0.0007927971,0.00015257603,0.0007372658,0.18220824,0.0027725783,0.0011600661,0.00071939593,0.00005384397],"about_ca_topic_score_codex":0.02330366,"about_ca_topic_score_gemma":0.02693526,"teacher_disagreement_score":0.02330366,"about_ca_system_score_codex":0.0025340142,"about_ca_system_score_gemma":0.0018702361,"threshold_uncertainty_score":0.046336055},"labels":[],"label_agreement":null},{"id":"W2625531829","doi":"10.1177/0272989x17711933","title":"The Importance of Considering Differences in Study Design in Network Meta-analysis: An Application Using Anti-Tumor Necrosis Factor Drugs for Ulcerative Colitis","year":2017,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Golimumab; Randomized controlled trial; Adalimumab; Infliximab; Adaptive design; Medicine; Computer science; Clinical study design; Clinical trial; Internal medicine; Tumor necrosis factor alpha","score_opus":0.7447632777831494,"score_gpt":0.5500645395220185,"score_spread":0.19469873826113093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2625531829","genre_codex":"methods","genre_gemma":"empirical","domain_codex":"methods","domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"methods","domain_consensus":"methods","prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010735136,0.016642286,0.95313716,0.013354648,0.0013684147,0.00190883,0.00019226814,0.00045777456,0.0022034496],"genre_scores_gemma":[0.14716125,0.0036732052,0.8404303,0.0036354174,0.0006622806,0.0036091309,0.000105756924,0.00023580316,0.00048682993],"study_design_codex":"design_other","study_design_gemma":"meta_analysis","domain_scores_codex":[0.28680488,0.6756599,0.016662717,0.0076273615,0.012622017,0.0006230592],"domain_scores_gemma":[0.16022384,0.7772276,0.019091034,0.032059506,0.010501897,0.000896107],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.45848763,0.0025033273,0.0047825477,0.003543436,0.0018692021,0.006336198,0.0042050425,0.007288519,0.003210843],"category_scores_gemma":[0.73679924,0.0020570885,0.013198958,0.005344191,0.0049262187,0.008168729,0.0056391596,0.011039622,0.00034332275],"study_design_candidate":"meta_analysis","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009928018,0.00053612725,0.027705826,0.019692592,0.047865614,0.0016555117,0.004902356,0.089200355,0.0039825393,0.11868027,0.008941196,0.6669096],"study_design_scores_gemma":[0.0077567636,0.003629605,0.015136607,0.015378605,0.031594887,0.0019820884,0.00072364893,0.2926481,0.008590423,0.5754885,0.04607417,0.0009965872],"about_ca_topic_score_codex":0.0029579338,"about_ca_topic_score_gemma":0.0047160075,"teacher_disagreement_score":0.54151237,"about_ca_system_score_codex":0.004696814,"about_ca_system_score_gemma":0.008155616,"threshold_uncertainty_score":0.66778123},"labels":[],"label_agreement":null},{"id":"W2716137842","doi":"10.1177/0272989x17713456","title":"Taking Costs and Diagnostic Test Accuracy into Account When Designing Prevalence Studies: An Application to Childhood Tuberculosis Prevalence","year":2017,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Tuberculosis; Test (biology); Tuberculin; Sample size determination; Statistics; Bayesian probability; Mathematics; Pathology","score_opus":0.05205744070992874,"score_gpt":0.42404309185694383,"score_spread":0.3719856511470151,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2716137842","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12455484,0.005875273,0.8507779,0.011109999,0.00021727112,0.0014090942,0.00030444082,0.0001378321,0.0056133294],"genre_scores_gemma":[0.59447795,0.0016089117,0.40105435,0.00084654015,0.00022046934,0.0012283068,0.000083252235,0.000054726235,0.00042556218],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.88154745,0.10621581,0.003136612,0.0020296483,0.0060653277,0.0010051839],"domain_scores_gemma":[0.40112525,0.56635296,0.017943198,0.0060212333,0.007400049,0.0011573647],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.095057994,0.001820787,0.0024607808,0.0028947846,0.0011060328,0.002887182,0.0022513438,0.003998633,0.0020554771],"category_scores_gemma":[0.36664298,0.0015159408,0.002595275,0.0027926564,0.00327726,0.0037179994,0.0028459758,0.003545511,0.00011892012],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027453562,0.0005105575,0.115441926,0.0023293914,0.0024968674,0.0021212292,0.001478087,0.50572497,0.0029637902,0.09064548,0.0021335005,0.27140883],"study_design_scores_gemma":[0.00061036285,0.0022093211,0.04874005,0.0018800732,0.0022442348,0.0023578187,0.0009640692,0.69783294,0.0042304797,0.23250172,0.0061514676,0.00027743093],"about_ca_topic_score_codex":0.005604655,"about_ca_topic_score_gemma":0.006267036,"teacher_disagreement_score":0.90494204,"about_ca_system_score_codex":0.0039552986,"about_ca_system_score_gemma":0.00647915,"threshold_uncertainty_score":0.5027207},"labels":[],"label_agreement":null},{"id":"W2735790837","doi":"10.1177/0272989x17715636","title":"Adding Events to a Markov Model Using DICE Simulation","year":2017,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Dice; Computer science; Markov chain; Event (particle physics); Markov model; Flexibility (engineering); Software; Markov process; Transition (genetics); Discrete event simulation; Macro; Machine learning; Programming language; Simulation; Statistics; Mathematics","score_opus":0.19539266286184886,"score_gpt":0.5598629597718839,"score_spread":0.3644702969100351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735790837","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008124301,0.00020235294,0.97936183,0.0005147076,0.00012638395,0.00034099564,0.0018147556,0.0021433854,0.0073712682],"genre_scores_gemma":[0.19937918,0.00064567145,0.78846735,0.00044674694,0.00010337238,0.0017029104,0.0033367323,0.00089500897,0.0050231237],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978807,0.0010646434,0.00021524084,0.00027480882,0.00041195698,0.00015268348],"domain_scores_gemma":[0.9849427,0.012046995,0.00063764106,0.00079449796,0.0012415298,0.00033656918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049407086,0.0010814829,0.0011984264,0.0019952804,0.0011167916,0.0023349791,0.0021506657,0.0019312477,0.016165137],"category_scores_gemma":[0.020292964,0.0011523361,0.0022569955,0.0013908665,0.00081028574,0.0016052992,0.002450868,0.0025634435,0.0015318788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082915,0.000033140375,0.0018782698,0.0001622524,0.000056275967,0.0001719619,0.00010468552,0.9378601,0.00019403352,0.04266996,0.0036966547,0.013089772],"study_design_scores_gemma":[0.000038759317,0.000016410318,0.00010195022,0.000039227947,0.00002466064,0.000048657515,0.000018941373,0.969824,0.00036391764,0.021587696,0.007916178,0.000019577838],"about_ca_topic_score_codex":0.02900915,"about_ca_topic_score_gemma":0.018579146,"teacher_disagreement_score":0.02900915,"about_ca_system_score_codex":0.0025234448,"about_ca_system_score_gemma":0.003990767,"threshold_uncertainty_score":0.057680607},"labels":[],"label_agreement":null},{"id":"W2749887430","doi":"10.1177/0272989x17725748","title":"Conducting EQ-5D Valuation Studies in Resource-Constrained Countries: The Potential Use of Shrinkage Estimators to Reduce Sample Size","year":2017,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Canadian Centre for Applied Research in Cancer Control; Institute for Clinical Evaluative Sciences; Hospital for Sick Children; Public Health Ontario; University of Toronto; SickKids Foundation; Sunnybrook Health Science Centre","funders":"","keywords":"Estimator; Shrinkage estimator; Mean squared error; Statistics; Standard error; Shrinkage; Mathematics; Econometrics; Sample size determination; Valuation (finance); Efficient estimator; Economics","score_opus":0.6963428736042208,"score_gpt":0.5128158556935778,"score_spread":0.18352701791064296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2749887430","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17055951,0.0015502126,0.82000786,0.0020276029,0.00016382591,0.002252586,0.00030778852,0.00024528045,0.0028852946],"genre_scores_gemma":[0.6267417,0.000522141,0.36772174,0.0007989515,0.000088524255,0.0036181898,0.00021900354,0.00006116699,0.00022851997],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.8160734,0.1739782,0.003355152,0.0027870205,0.0032028647,0.00060338015],"domain_scores_gemma":[0.49462864,0.45403594,0.019763803,0.02204384,0.008566039,0.0009617753],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.20582755,0.0011265767,0.0019461532,0.001688584,0.00083981396,0.001649498,0.0022034391,0.0015009099,0.0018393864],"category_scores_gemma":[0.3866221,0.0009285715,0.0022373623,0.0019893195,0.0022795117,0.0029429807,0.0029172949,0.0021945375,0.00022663112],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032024952,0.0011783643,0.27469802,0.0028348493,0.005511339,0.00088347826,0.0039928,0.28652662,0.004277197,0.045979887,0.005928593,0.36498633],"study_design_scores_gemma":[0.0024922418,0.005019253,0.12229072,0.0030852864,0.0019495297,0.001131322,0.0015092407,0.6421582,0.0128771225,0.18988796,0.017128961,0.00047012372],"about_ca_topic_score_codex":0.0023451764,"about_ca_topic_score_gemma":0.0029976163,"teacher_disagreement_score":0.79417247,"about_ca_system_score_codex":0.0011097635,"about_ca_system_score_gemma":0.003057811,"threshold_uncertainty_score":0.97935605},"labels":[],"label_agreement":null},{"id":"W2756603975","doi":"10.1177/0272989x17732990","title":"A Systematic Review and Meta-analysis of Childhood Health Utilities","year":2017,"lang":"en","type":"review","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children","funders":"University of Warwick; Economic and Social Research Council; National Institute for Health and Care Research; Advantage West Midlands","keywords":"EconLit; PsycINFO; Respondent; CINAHL; Medicine; Systematic review; Health economics; Economic evaluation; Valuation (finance); MEDLINE; Cost–utility analysis; Population; Meta-analysis; Actuarial science; Cochrane Library; Public health; Psychological intervention; Cost effectiveness; Environmental health; Nursing; Economics; Finance","score_opus":0.7321214391074573,"score_gpt":0.5889026381639694,"score_spread":0.14321880094348793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2756603975","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002023687,0.99474007,0.0010166512,0.00023185504,0.00016182695,0.00073189737,0.00075142924,0.000026019667,0.00031650777],"genre_scores_gemma":[0.10139087,0.885999,0.005944782,0.00091812015,0.00031451343,0.0037059784,0.0014036405,0.00003841968,0.0002847012],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9582634,0.025831522,0.008814012,0.0024720216,0.0038498885,0.0007691],"domain_scores_gemma":[0.9451499,0.042690966,0.006596126,0.0017515304,0.0034791941,0.00033231248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.037962217,0.0038095487,0.020962695,0.015223238,0.00087465515,0.0048108823,0.0023880033,0.0023180367,0.004568004],"category_scores_gemma":[0.10063683,0.0016189242,0.046989564,0.012154346,0.0010328267,0.0030729321,0.002490682,0.0027300864,0.0003488531],"study_design_candidate":"meta_analysis","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011528733,0.000027239068,0.0022667933,0.55141693,0.42353562,0.00011177042,0.00008536895,0.00068177545,0.000100696605,0.00034174588,0.00090913265,0.019369982],"study_design_scores_gemma":[0.00071271986,0.00028893314,0.0032851228,0.10120507,0.8900028,0.00015703615,0.00006479262,0.00032500437,0.00012731811,0.0006413172,0.0031568292,0.000033096836],"about_ca_topic_score_codex":0.0065250304,"about_ca_topic_score_gemma":0.013265333,"teacher_disagreement_score":0.037962217,"about_ca_system_score_codex":0.0056795753,"about_ca_system_score_gemma":0.008856747,"threshold_uncertainty_score":0.20076579},"labels":[],"label_agreement":null},{"id":"W2767104228","doi":"10.1177/0272989x17738754","title":"How Should Discrete Choice Experiments with Duration Choice Sets Be Presented for the Valuation of Health States?","year":2017,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Health and Medical Research Council; Medical Research Council; EuroQol Research Foundation; University of Technology Sydney","keywords":"Valuation (finance); Logit; Discrete choice; Mixed logit; Econometrics; Dimension (graph theory); Population; Consistency (knowledge bases); EQ-5D; Actuarial science; Multiple choice; Logistic regression; Statistics; Medicine; Computer science; Mathematics; Economics; Significant difference; Artificial intelligence; Environmental health","score_opus":0.5874022463750577,"score_gpt":0.543286751780675,"score_spread":0.04411549459438269,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767104228","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4188561,0.0026910878,0.49084437,0.009967916,0.003240881,0.049070764,0.0017489496,0.0009933973,0.022586482],"genre_scores_gemma":[0.32076597,0.0010361793,0.5875571,0.0025103763,0.00041219706,0.085588984,0.00043411975,0.0001183842,0.0015767409],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.8693428,0.11476003,0.004733273,0.003196735,0.0069004935,0.0010667079],"domain_scores_gemma":[0.41119692,0.54311734,0.021341432,0.014339695,0.0073777772,0.0026268598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.16966547,0.0013075785,0.0018925745,0.0010546332,0.0009369936,0.004536911,0.0020869542,0.0037616414,0.0098589705],"category_scores_gemma":[0.43914267,0.001148214,0.002343809,0.0014688945,0.0028116887,0.006169971,0.0018155668,0.0040556747,0.0013188488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.07314278,0.032843444,0.031294946,0.018002983,0.0032462184,0.0003429643,0.015856834,0.06279064,0.01449577,0.13486879,0.019292906,0.5938217],"study_design_scores_gemma":[0.04478152,0.09719005,0.05729149,0.0078841485,0.0022852332,0.00033280163,0.0028231973,0.22279154,0.020178573,0.44116673,0.101519145,0.0017555949],"about_ca_topic_score_codex":0.0007249218,"about_ca_topic_score_gemma":0.00086510845,"teacher_disagreement_score":0.16966547,"about_ca_system_score_codex":0.0024080672,"about_ca_system_score_gemma":0.0024319745,"threshold_uncertainty_score":0.8972875},"labels":[],"label_agreement":null},{"id":"W2793717112","doi":"10.1177/0272989x12455462","title":"Modeling Using Discrete Event Simulation","year":2012,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":337,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Context (archaeology); Discrete event simulation; Relevance (law); Process (computing); Management science; Health care; Event (particle physics); Task (project management); Data science; Representation (politics); Process modeling; Risk analysis (engineering); Operations research; Process management; Systems engineering; Medicine; Simulation; Work in process; Engineering; Operations management","score_opus":0.5191837500212184,"score_gpt":0.5402170787702313,"score_spread":0.02103332874901287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793717112","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004577461,0.0005550298,0.97601545,0.0013422291,0.00016782143,0.0004112722,0.0013403819,0.00082568056,0.014764633],"genre_scores_gemma":[0.3663481,0.0046349494,0.607661,0.0004940411,0.00036645468,0.0027161508,0.0040802783,0.0002976092,0.0134013295],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99487936,0.0032582856,0.00040977818,0.0004431181,0.0008031163,0.00020633296],"domain_scores_gemma":[0.98408544,0.012782025,0.0007523799,0.0007840288,0.0013464064,0.00024978942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006387764,0.0010230104,0.0012270258,0.0021603154,0.0007253333,0.004253983,0.0029119763,0.002275078,0.011460912],"category_scores_gemma":[0.019850515,0.0006741015,0.0019996653,0.0022678075,0.0008066092,0.0024039128,0.001995662,0.0023319698,0.001351626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047825204,0.00008399662,0.0018053495,0.00026181006,0.000119505276,0.00018508104,0.00021815469,0.793114,0.0002006606,0.17548493,0.0045111314,0.02396757],"study_design_scores_gemma":[0.00003251633,0.00003055177,0.00018672175,0.00008632325,0.00003001295,0.000047428075,0.00006702849,0.90537643,0.00024612882,0.077883564,0.015984707,0.000028620949],"about_ca_topic_score_codex":0.011715668,"about_ca_topic_score_gemma":0.0062843193,"teacher_disagreement_score":0.011715668,"about_ca_system_score_codex":0.0019451178,"about_ca_system_score_gemma":0.003201047,"threshold_uncertainty_score":0.03834051},"labels":[],"label_agreement":null},{"id":"W2794157321","doi":"10.1177/0272989x17711927","title":"The University of Wisconsin Breast Cancer Epidemiology Simulation Model: An Update","year":2018,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Cancer Institute","keywords":"Breast cancer; Epidemiology; Medicine; Computer science; Cancer; Internal medicine","score_opus":0.13016724415674102,"score_gpt":0.4439719947517315,"score_spread":0.31380475059499047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794157321","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02950343,0.028562628,0.8059496,0.020236904,0.0017674745,0.00095496303,0.038422856,0.0067319446,0.06787012],"genre_scores_gemma":[0.36594573,0.08387409,0.4391136,0.0044085695,0.0019560484,0.0047770557,0.05805301,0.002749951,0.039122045],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984428,0.00083029206,0.00011972654,0.00016953495,0.0003305544,0.000107105],"domain_scores_gemma":[0.9954448,0.0025357148,0.0003779779,0.00029826636,0.0011205563,0.00022278611],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003520955,0.001589452,0.0013211061,0.0019661132,0.0005491734,0.0024226326,0.0043082973,0.0016597015,0.008952895],"category_scores_gemma":[0.016838787,0.0012798352,0.0018456489,0.0041299397,0.00035575285,0.002417449,0.0013328996,0.0021873573,0.003214907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016053193,0.00012180498,0.008046788,0.00050280243,0.0002929989,0.00021599067,0.00013396426,0.77671576,0.00027070587,0.035695266,0.06581316,0.1120302],"study_design_scores_gemma":[0.00009072455,0.000051151306,0.0010475126,0.00040921028,0.00013495777,0.00019059575,0.00004411268,0.8117218,0.0003017028,0.02436659,0.16155554,0.00008611545],"about_ca_topic_score_codex":0.07730753,"about_ca_topic_score_gemma":0.04866475,"teacher_disagreement_score":0.07730753,"about_ca_system_score_codex":0.003358032,"about_ca_system_score_gemma":0.0050422195,"threshold_uncertainty_score":0.15371507},"labels":[],"label_agreement":null},{"id":"W2794982991","doi":"10.1177/0272989x18765185","title":"Individual Value Clarification Methods Based on Conjoint Analysis: A Systematic Review of Common Practice in Task Design, Statistical Analysis, and Presentation of Results","year":2018,"lang":"en","type":"review","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; The Quebec Population Health Research Network","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institutes of Health","keywords":"Conjoint analysis; PsycINFO; Preference; Applied psychology; Task (project management); Decision aids; Set (abstract data type); Psychology; Scopus; Systematic review; MEDLINE; Preference elicitation; Medicine; Computer science; Alternative medicine; Statistics; Engineering","score_opus":0.3675892562518126,"score_gpt":0.6074671021230458,"score_spread":0.23987784587123318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794982991","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017517939,0.98615474,0.0065137995,0.0008442282,0.0002546113,0.0034590797,0.00034872038,0.000047173744,0.0006258473],"genre_scores_gemma":[0.045427218,0.8960376,0.04192543,0.0010122625,0.00020889359,0.014693633,0.00045965624,0.000059542162,0.00017581713],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.67892575,0.20758559,0.07041817,0.006532677,0.03523799,0.0012998391],"domain_scores_gemma":[0.3358727,0.5938821,0.034885738,0.010333865,0.024051452,0.00097415125],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.20548156,0.0032068898,0.010844437,0.043885175,0.002298782,0.008171894,0.0047155037,0.0033766269,0.0034040553],"category_scores_gemma":[0.4457849,0.0024224815,0.013226966,0.03323665,0.004677223,0.007809582,0.0058588996,0.0033182637,0.00046306947],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002421648,0.00006387252,0.00080875476,0.7779965,0.003913915,0.000080536556,0.0024325387,0.0005385768,0.00015057735,0.0014532141,0.001705682,0.21061367],"study_design_scores_gemma":[0.00022606556,0.00022773979,0.001388282,0.9712804,0.0078848675,0.00023701637,0.0014797704,0.00048281462,0.00038883678,0.0021506397,0.014142533,0.00011098282],"about_ca_topic_score_codex":0.0072961473,"about_ca_topic_score_gemma":0.012610947,"teacher_disagreement_score":0.7945185,"about_ca_system_score_codex":0.013589799,"about_ca_system_score_gemma":0.034279186,"threshold_uncertainty_score":0.9797827},"labels":[],"label_agreement":null},{"id":"W2795262817","doi":"10.1177/0272989x18754513","title":"Microsimulation Modeling for Health Decision Sciences Using R: A Tutorial","year":2018,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":180,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"National Institute of Allergy and Infectious Diseases; National Cancer Institute; National Institutes of Health; University of Minnesota","keywords":"Microsimulation; Computer science; Field (mathematics); Vectorization (mathematics); Decision model; Software; Markov model; Code (set theory); Markov chain; Machine learning; Operations research; Programming language; Engineering; Set (abstract data type); Mathematics","score_opus":0.30036390565179083,"score_gpt":0.5423550754257039,"score_spread":0.2419911697739131,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795262817","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00032955105,0.0041257893,0.98421407,0.0012039145,0.00031672703,0.00012249884,0.0013341537,0.0034446921,0.0049086087],"genre_scores_gemma":[0.006202315,0.009569589,0.96963656,0.0010369592,0.00054979394,0.0010468443,0.001823246,0.002575087,0.0075596133],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99861884,0.00074775,0.00011229356,0.00016956402,0.00030199217,0.000049598646],"domain_scores_gemma":[0.99428964,0.004685862,0.0002465106,0.00029112524,0.00040209206,0.00008482099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033616452,0.0024384256,0.0010577297,0.0016239068,0.00035551027,0.0011083939,0.0018136263,0.0015245809,0.033103228],"category_scores_gemma":[0.01353779,0.0011359444,0.0025114396,0.0015563249,0.00060626114,0.0017466297,0.0015549992,0.0034103068,0.018701347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042338263,0.00009918527,0.0007317587,0.0030073817,0.0002962956,0.00041180744,0.00029551418,0.10493728,0.0030350967,0.3153607,0.27391565,0.29786697],"study_design_scores_gemma":[0.000039738043,0.000077143755,0.00050130824,0.00066139095,0.000091866284,0.00045397296,0.00004909957,0.16333029,0.0026479743,0.24123865,0.5907929,0.00011570801],"about_ca_topic_score_codex":0.003102502,"about_ca_topic_score_gemma":0.0036863976,"teacher_disagreement_score":0.033103228,"about_ca_system_score_codex":0.0009504271,"about_ca_system_score_gemma":0.0018218914,"threshold_uncertainty_score":0.11074132},"labels":[],"label_agreement":null},{"id":"W2798441388","doi":"10.1177/0272989x19837983","title":"Estimating the Expected Value of Sample Information across Different Sample Sizes Using Moment Matching and Nonlinear Regression","year":2019,"lang":"en","type":"preprint","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Engineering and Physical Sciences Research Council; Boehringer Ingelheim","keywords":"Sample size determination; Sample (material); Matching (statistics); Computer science; Moment (physics); Bayesian probability; Econometrics; Statistics; Mathematics; Artificial intelligence","score_opus":0.24019276851531318,"score_gpt":0.4735494492719988,"score_spread":0.23335668075668564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2798441388","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0054396493,0.00050081505,0.99202406,0.0005386208,0.00004830369,0.00024174935,0.00012869922,0.00017234132,0.00090579357],"genre_scores_gemma":[0.21490711,0.0009898932,0.7795788,0.0005619535,0.0001599407,0.0013506887,0.00037054057,0.00019347011,0.0018875928],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9615421,0.030323338,0.0013534238,0.0027672052,0.0033953853,0.0006185538],"domain_scores_gemma":[0.80360997,0.17758796,0.008114063,0.0062584723,0.003904283,0.000525265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.052572954,0.0016593017,0.0037102322,0.003696107,0.00075702305,0.0022951574,0.0034408872,0.0024980512,0.005157876],"category_scores_gemma":[0.20154466,0.0012688949,0.0037529683,0.003064152,0.0025021217,0.0036981164,0.0027462114,0.0041264286,0.0007421266],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009138275,0.0002945778,0.013916692,0.0013846154,0.0016983944,0.00037985257,0.00035529785,0.50644916,0.0018395556,0.19183894,0.004203302,0.2767258],"study_design_scores_gemma":[0.00016392185,0.0002568076,0.003056992,0.00026967135,0.0003407007,0.00014117974,0.000049531725,0.8380115,0.0018945688,0.15248327,0.0032407737,0.00009105623],"about_ca_topic_score_codex":0.0061647133,"about_ca_topic_score_gemma":0.0039006541,"teacher_disagreement_score":0.052572954,"about_ca_system_score_codex":0.0035848867,"about_ca_system_score_gemma":0.0041428213,"threshold_uncertainty_score":0.27803564},"labels":[],"label_agreement":null},{"id":"W2811232920","doi":"10.1177/0272989x18776637","title":"Estimation of a Preference-Based Summary Score for the Patient-Reported Outcomes Measurement Information System: The PROMIS <sup>®</sup> -Preference (PROPr) Scoring System","year":2018,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":160,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"National Institutes of Health; National Cancer Institute; Social Sciences and Humanities Research Council of Canada; National Center for Advancing Translational Sciences; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Riksbankens Jubileumsfond","keywords":"Patient-Reported Outcomes Measurement Information System; Preference; Quality of life (healthcare); Medicine; Applied psychology; Physical therapy; Psychology; Statistics; Psychometrics; Clinical psychology; Computerized adaptive testing; Mathematics","score_opus":0.4962130764892222,"score_gpt":0.4115047991206986,"score_spread":0.0847082773685236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2811232920","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57498,0.0023954834,0.29405013,0.002318409,0.0002968192,0.01410946,0.081087686,0.0011267582,0.029635279],"genre_scores_gemma":[0.8051679,0.0006719135,0.15812671,0.00039083604,0.000063881125,0.012919743,0.020852808,0.0000840486,0.0017220384],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9835877,0.010629789,0.0019012641,0.00079315755,0.0027549758,0.0003332281],"domain_scores_gemma":[0.9748776,0.013991228,0.0049078385,0.0017176047,0.004094248,0.00041153596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02011336,0.00072986353,0.00097022793,0.003336092,0.0002606008,0.0011934179,0.0009081989,0.00072552275,0.00695418],"category_scores_gemma":[0.0612493,0.0002499207,0.0029082915,0.003273527,0.00033786974,0.0010270987,0.0010284906,0.0011059659,0.0016738136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002853385,0.000716926,0.54224217,0.0018360089,0.0019813397,0.00013973455,0.00075342867,0.011158091,0.001139268,0.0068173707,0.032319527,0.3980428],"study_design_scores_gemma":[0.0010296493,0.0049245157,0.84949166,0.0011413418,0.0010504089,0.0009847659,0.0015775056,0.091625035,0.0042358018,0.013821589,0.029812146,0.00030545928],"about_ca_topic_score_codex":0.0011697415,"about_ca_topic_score_gemma":0.0015925135,"teacher_disagreement_score":0.02011336,"about_ca_system_score_codex":0.0009306574,"about_ca_system_score_gemma":0.0012220878,"threshold_uncertainty_score":0.106370926},"labels":[],"label_agreement":null},{"id":"W2888442599","doi":"10.1177/0272989x18791177","title":"Picture This: Presenting Longitudinal Patient-Reported Outcome Research Study Results to Patients","year":2018,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Cancer survivorship and care","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"National Cancer Institute; Patient-Centered Outcomes Research Institute","keywords":"CLARITY; Medicine; Cognition; Odds; Population; Clinical trial; Odds ratio; Psychology; Clinical psychology; Internal medicine; Psychiatry","score_opus":0.13046107035880378,"score_gpt":0.4542214859802211,"score_spread":0.32376041562141733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888442599","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03562767,0.012451404,0.05662224,0.75110847,0.026998516,0.009156553,0.047194853,0.009415297,0.051424935],"genre_scores_gemma":[0.25248915,0.027772224,0.1814494,0.4172321,0.0400059,0.02370015,0.018374898,0.0037548894,0.035221484],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98215526,0.012927649,0.002459182,0.0005641188,0.0014454854,0.0004482502],"domain_scores_gemma":[0.90684557,0.048133958,0.016219739,0.0081668645,0.01305078,0.007582999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.040446676,0.0010378046,0.0013534668,0.0037910398,0.0019498457,0.0059390645,0.0019294784,0.005170681,0.07015377],"category_scores_gemma":[0.14359435,0.0007547303,0.0019816207,0.0031072618,0.0011692179,0.009604842,0.0046730624,0.0037336443,0.02842248],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055427593,0.00016473797,0.01970134,0.002018384,0.0001334561,0.00051771355,0.00250109,0.00015878514,0.00055094576,0.002667735,0.8550735,0.11595793],"study_design_scores_gemma":[0.0024027862,0.00186973,0.036295768,0.008088314,0.0005321323,0.0029234958,0.014435463,0.0017421551,0.0020611917,0.036838282,0.8922111,0.0005995287],"about_ca_topic_score_codex":0.0010898213,"about_ca_topic_score_gemma":0.0021836117,"teacher_disagreement_score":0.07015377,"about_ca_system_score_codex":0.0016772369,"about_ca_system_score_gemma":0.003795685,"threshold_uncertainty_score":0.23468775},"labels":[],"label_agreement":null},{"id":"W2888498061","doi":"10.1177/0272989x18792284","title":"Economically Efficient Hepatitis C Virus Treatment Prioritization Improves Health Outcomes","year":2018,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Institute on Aging; Ivey Business School, Western University; Natural Sciences and Engineering Research Council of Canada; U.S. Department of Veterans Affairs","keywords":"Medicine; Prioritization; Population; Quality-adjusted life year; Liver disease; Disease burden; Hepatitis C virus; Economic evaluation; Intensive care medicine; Cost effectiveness; Environmental health; Internal medicine; Immunology; Virus; Risk analysis (engineering); Business; Pathology","score_opus":0.20609497081285383,"score_gpt":0.4688944917542109,"score_spread":0.26279952094135706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888498061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9165269,0.001410505,0.068586245,0.0025418515,0.00007034268,0.00043217756,0.0005628834,0.00012836275,0.00974066],"genre_scores_gemma":[0.9922558,0.0002511591,0.0066590593,0.00017274394,0.000014625529,0.000070262155,0.000105562416,0.000010334355,0.00046040586],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99793917,0.0013804332,0.000043723303,0.00012904932,0.00019921611,0.0003083178],"domain_scores_gemma":[0.995488,0.0029466061,0.00095130946,0.00014652916,0.00023083159,0.0002367371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041151047,0.00092037104,0.00068629504,0.00069399126,0.0003077692,0.0010702314,0.00055639475,0.00079872226,0.002830876],"category_scores_gemma":[0.0117718065,0.00033723336,0.0007155376,0.00063238543,0.00041222456,0.0008221376,0.0008589648,0.0009499947,0.00014995389],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073244347,0.00042780332,0.011703622,0.0001353417,0.00022748606,0.000052111645,0.000047748967,0.9562012,0.0008915311,0.005013072,0.0011618735,0.02340577],"study_design_scores_gemma":[0.00056129816,0.0016737495,0.013097204,0.00010605099,0.00027985542,0.00012932124,0.00015939432,0.9603945,0.0011121157,0.020188145,0.0022555036,0.000042932115],"about_ca_topic_score_codex":0.0077820015,"about_ca_topic_score_gemma":0.004603068,"teacher_disagreement_score":0.0077820015,"about_ca_system_score_codex":0.0035530797,"about_ca_system_score_gemma":0.0039435164,"threshold_uncertainty_score":0.025779486},"labels":[],"label_agreement":null},{"id":"W2891506816","doi":"10.1177/0272989x18793401","title":"Optimal Information Collection Policies in a Markov Decision Process Framework","year":2018,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Hepatitis C virus research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Institute on Aging; Natural Sciences and Engineering Research Council of Canada","keywords":"Value of information; Markov decision process; Dynamic programming; Data collection; Computer science; Medicine; Actuarial science; Markov process; Statistics; Mathematics; Economics; Artificial intelligence","score_opus":0.024881749135475726,"score_gpt":0.41453006703821865,"score_spread":0.3896483179027429,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891506816","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08261082,0.0016677273,0.8826999,0.007656116,0.00024476333,0.00063038635,0.0018921124,0.00040253982,0.022195704],"genre_scores_gemma":[0.8727979,0.0024089445,0.09885447,0.0009387523,0.0003151256,0.0013998538,0.0010808555,0.00012377246,0.022080382],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.992695,0.0043447707,0.00021896794,0.0010076521,0.0005487299,0.0011849424],"domain_scores_gemma":[0.9636532,0.031976815,0.0018330301,0.00039760015,0.001131574,0.0010077662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0100613125,0.0026586521,0.004274899,0.002069237,0.0011490438,0.0037218025,0.0027812002,0.004797534,0.013088862],"category_scores_gemma":[0.02564883,0.0019025194,0.002399674,0.0016673148,0.0035266813,0.003502851,0.002337223,0.0049137454,0.001012345],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020948019,0.0001158889,0.0008757358,0.00010753397,0.00009778472,0.00016144593,0.00009196254,0.9007262,0.00022833217,0.09218993,0.0010796026,0.004116153],"study_design_scores_gemma":[0.00014521863,0.000085432504,0.00029945603,0.0000384093,0.00005208999,0.000027488633,0.000043190626,0.94274604,0.000115203016,0.055734262,0.00068131473,0.00003193875],"about_ca_topic_score_codex":0.026713649,"about_ca_topic_score_gemma":0.01421262,"teacher_disagreement_score":0.026713649,"about_ca_system_score_codex":0.006240023,"about_ca_system_score_gemma":0.007600491,"threshold_uncertainty_score":0.0532099},"labels":[],"label_agreement":null},{"id":"W2893001049","doi":"10.1177/0272989x18798833","title":"Future Directions for Cost-effectiveness Analyses in Health and Medicine","year":2018,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital; McMaster University; University of Toronto","funders":"","keywords":"Transparency (behavior); Outcomes research; Health economics; Activity-based costing; Flourishing; Set (abstract data type); Observational study; Computer science; Data science; Actuarial science; Management science; Public health; Medicine; Marketing; Psychology; Economics; Business; Alternative medicine","score_opus":0.5388850673953846,"score_gpt":0.5859453135568248,"score_spread":0.04706024616144022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2893001049","genre_codex":"commentary","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006179286,0.29131547,0.0306016,0.6505776,0.014074291,0.0004439319,0.00047720983,0.0001884053,0.011703552],"genre_scores_gemma":[0.06735036,0.41508052,0.16600044,0.2739168,0.06542023,0.005759912,0.001289303,0.0006006146,0.0045817974],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.7783071,0.19095112,0.009332877,0.004240867,0.014228243,0.0029398077],"domain_scores_gemma":[0.2408302,0.7019849,0.0075574364,0.009934967,0.035473816,0.0042186924],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.31418273,0.0031487858,0.006538227,0.009495556,0.0024646206,0.018807735,0.006886836,0.0147604365,0.043625433],"category_scores_gemma":[0.53591317,0.0013700455,0.008108719,0.011002104,0.010670371,0.036185,0.010391011,0.026494522,0.0037768593],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066568604,0.0002086858,0.0009070186,0.012268293,0.0006991925,0.00007287973,0.00073665055,0.0042378013,0.00011408645,0.5530985,0.12582971,0.30116147],"study_design_scores_gemma":[0.00045072133,0.00020753487,0.0011539869,0.039264664,0.00051797944,0.00008706995,0.0012208895,0.0038939295,0.00016583531,0.70785904,0.24502967,0.00014874316],"about_ca_topic_score_codex":0.008299247,"about_ca_topic_score_gemma":0.0073743407,"teacher_disagreement_score":0.31418273,"about_ca_system_score_codex":0.020867227,"about_ca_system_score_gemma":0.043883547,"threshold_uncertainty_score":0.84573483},"labels":[],"label_agreement":null},{"id":"W2900241106","doi":"10.1177/0272989x18802797","title":"Parallel Valuation: A Direct Comparison of EQ-5D-3L and EQ-5D-5L Societal Value Sets","year":2018,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Impact","funders":"University of Illinois at Urbana-Champaign; EuroQol Research Foundation","keywords":"EQ-5D; Ceiling effect; Statistics; Mathematics; Linear regression; Index (typography); Valuation (finance); Econometrics; Demography; Medicine; Health related quality of life; Economics; Computer science","score_opus":0.4696954993722411,"score_gpt":0.4779208813658217,"score_spread":0.008225381993580638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900241106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9427469,0.00066441874,0.02782436,0.00033692675,0.00007690571,0.00038930587,0.007743479,0.00010739576,0.020110404],"genre_scores_gemma":[0.9890715,0.00014192823,0.0057431106,0.00007126052,0.000034597204,0.00024024384,0.004148352,0.000035809288,0.0005133238],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9940017,0.0036273552,0.00030861565,0.00062286516,0.0012825333,0.00015688955],"domain_scores_gemma":[0.98439276,0.009395008,0.0027338124,0.001940709,0.0013569617,0.00018091217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009855434,0.00042646655,0.00041743016,0.0024356977,0.00023024797,0.0017125729,0.0008900953,0.0004583533,0.005171954],"category_scores_gemma":[0.057726037,0.00026144544,0.001364284,0.0031393424,0.0006693913,0.0026981311,0.002253856,0.00079717423,0.0007664808],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020639803,0.00032589785,0.8546815,0.0004797193,0.001555198,0.00011654145,0.0012377936,0.009348661,0.0010781288,0.014540353,0.004138049,0.110434055],"study_design_scores_gemma":[0.00012503787,0.00090800796,0.95763063,0.00015047376,0.00023461468,0.0003264442,0.00086107006,0.021166945,0.0008807738,0.010313737,0.00734002,0.00006219558],"about_ca_topic_score_codex":0.0028136857,"about_ca_topic_score_gemma":0.0022144956,"teacher_disagreement_score":0.009855434,"about_ca_system_score_codex":0.00088784343,"about_ca_system_score_gemma":0.0004983613,"threshold_uncertainty_score":0.052121162},"labels":[],"label_agreement":null},{"id":"W2912496264","doi":"10.1177/0272989x18818165","title":"Prescriber Variation in Relation to Prescribing Trends within the Preferred Drugs Initiative in Ireland (2012–2015): An Interrupted Time-Series Study Using Latent Curve Models","year":2019,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Queen's University; Queen's University Belfast","keywords":"Medicine; Interrupted Time Series Analysis; Pharmacy; Pharmacoepidemiology; Drug class; Population; Medical prescription; Drug; Pharmaceutical Benefits Scheme; Emergency medicine; Family medicine; Pharmacology; Environmental health","score_opus":0.1263360287822225,"score_gpt":0.35236520173614216,"score_spread":0.22602917295391967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912496264","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879027,0.00051098195,0.0036873948,0.00064808,0.00005295173,0.00011509704,0.0058385753,0.000073087605,0.0011710963],"genre_scores_gemma":[0.9922438,0.00017180834,0.00093081634,0.00009907987,0.000032914453,0.00014728434,0.0055060443,0.000022842156,0.0008454622],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98952687,0.0049486742,0.0010999434,0.0017603894,0.0013101181,0.001353999],"domain_scores_gemma":[0.9611976,0.014416312,0.016321199,0.0037592642,0.0024943848,0.0018112207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016368134,0.0005271796,0.0010182454,0.0018943993,0.00038182008,0.0017653847,0.0019403924,0.0011818238,0.0029602847],"category_scores_gemma":[0.04461363,0.0005333183,0.0023281998,0.0038420528,0.00089098583,0.0013135931,0.0019399168,0.0022501468,0.0008766062],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010156751,0.0003188348,0.9818507,0.00011119873,0.0006663447,0.00014386864,0.0010905716,0.0050726836,0.00011030013,0.0008557268,0.0019732506,0.0067909276],"study_design_scores_gemma":[0.0000747228,0.0006328794,0.95702356,0.000092259244,0.00026118255,0.000118332464,0.0012709582,0.03747643,0.00017674483,0.00052427605,0.0022817103,0.00006698721],"about_ca_topic_score_codex":0.06626957,"about_ca_topic_score_gemma":0.029708376,"teacher_disagreement_score":0.06626957,"about_ca_system_score_codex":0.0032751272,"about_ca_system_score_gemma":0.002232164,"threshold_uncertainty_score":0.13176769},"labels":[],"label_agreement":null},{"id":"W2913713220","doi":"10.1177/0272989x18823757","title":"Physician and Nonphysician Estimates of Positive Predictive Value in Diagnostic v. Mass Screening Mammography: An Examination of Bayesian Reasoning","year":2019,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Medicine; Test (biology); Mammography; Asymptomatic; Predictive value; Overdiagnosis; Bayesian probability; Gynecology; Statistics; Surgery; Internal medicine; Breast cancer; Cancer; Mathematics","score_opus":0.017540071810358136,"score_gpt":0.3230832364258559,"score_spread":0.30554316461549774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913713220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9256136,0.0026930696,0.04787281,0.0037698674,0.00008718142,0.0006564186,0.0002316437,0.00008475619,0.018990714],"genre_scores_gemma":[0.993266,0.00024838594,0.005606458,0.00049053953,0.000054258093,0.00014757561,0.00006388614,0.0000068723307,0.0001159978],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.87259996,0.102012485,0.005278537,0.00436524,0.014434344,0.0013094872],"domain_scores_gemma":[0.3104958,0.64988613,0.024149297,0.0064449506,0.0073838006,0.0016400452],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.14167681,0.00056347175,0.00086792314,0.005000253,0.000778168,0.0043114545,0.0014225567,0.0025918446,0.0034983219],"category_scores_gemma":[0.5660603,0.0007551749,0.0016503487,0.001684459,0.004457298,0.0047168867,0.0033352247,0.0019728313,0.0003242426],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0069069965,0.0010318101,0.78161514,0.0009541873,0.0021698072,0.0006606841,0.025201095,0.019429218,0.00092350354,0.021255128,0.0021017713,0.13775076],"study_design_scores_gemma":[0.0012882575,0.0036902262,0.71274877,0.0012998215,0.0013302234,0.0021514627,0.012664345,0.12788932,0.0018523348,0.12911108,0.005567003,0.00040717897],"about_ca_topic_score_codex":0.003628537,"about_ca_topic_score_gemma":0.001824679,"teacher_disagreement_score":0.8583232,"about_ca_system_score_codex":0.0026571848,"about_ca_system_score_gemma":0.0013654012,"threshold_uncertainty_score":0.7492676},"labels":[],"label_agreement":null},{"id":"W2914484459","doi":"10.1177/0272989x18821368","title":"Reducing Uncertainty in EQ-5D Value Sets: The Role of Spatial Correlation","year":2019,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children; Public Health Ontario; University of Toronto","funders":"Canadian Institutes of Health Research; Agency for Healthcare Research and Quality; U.S. Department of Health and Human Services","keywords":"Statistics; Gaussian; Standard deviation; Correlation; Mathematics; Bayesian probability; Mean squared error; Econometrics; Spatial correlation; Valuation (finance); Confidence interval","score_opus":0.1982100475136389,"score_gpt":0.4083940910139684,"score_spread":0.2101840435003295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914484459","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15833299,0.0010467392,0.8364588,0.0011354279,0.000040927123,0.00021269749,0.000480778,0.00028634234,0.0020052076],"genre_scores_gemma":[0.8486577,0.00031908217,0.14954412,0.0002288377,0.00004913232,0.00018770291,0.000603539,0.00008362545,0.00032628255],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9684889,0.023625076,0.0011909712,0.0026782677,0.003597739,0.0004189982],"domain_scores_gemma":[0.8652712,0.11614203,0.008892735,0.0057985224,0.0035681664,0.00032725555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.041604448,0.0014792884,0.0015182196,0.0021064559,0.00078550086,0.0035125997,0.0019952073,0.0012904899,0.0010871119],"category_scores_gemma":[0.15164195,0.00093378965,0.0021127427,0.0026852193,0.0019794088,0.0028734938,0.003828484,0.0023171843,0.00023455612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031337916,0.00013842472,0.088674575,0.00043678796,0.001406995,0.00017378965,0.00069024495,0.7439967,0.0011255895,0.02200038,0.0017423191,0.13930085],"study_design_scores_gemma":[0.000063638094,0.00021570762,0.025014877,0.00026359048,0.00014062128,0.00017212905,0.00014819403,0.93557036,0.001711982,0.034933314,0.001670898,0.00009479408],"about_ca_topic_score_codex":0.012000062,"about_ca_topic_score_gemma":0.008006209,"teacher_disagreement_score":0.041604448,"about_ca_system_score_codex":0.002627467,"about_ca_system_score_gemma":0.0027081575,"threshold_uncertainty_score":0.22002798},"labels":[],"label_agreement":null},{"id":"W2915000621","doi":"10.1177/0272989x19835239","title":"Combining Multiple Treatment Comparisons with Personalized Patient Preferences: A Randomized Trial of an Interactive Platform for Statin Treatment Selection","year":2019,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"London School of Economics and Political Science","keywords":"Randomized controlled trial; Medicine; Confidence interval; Clinical endpoint; Decision aids; Physical therapy; Population; Ranking (information retrieval); Intervention (counseling); Scale (ratio); Internal medicine; Computer science; Alternative medicine; Artificial intelligence; Psychiatry","score_opus":0.28377383212436685,"score_gpt":0.45441307375078666,"score_spread":0.1706392416264198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915000621","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94188535,0.010223141,0.0138344085,0.0023124192,0.0019844542,0.02210593,0.0014655087,0.0006435825,0.0055451873],"genre_scores_gemma":[0.9655067,0.0010340537,0.013274626,0.00070632476,0.00034202178,0.017813768,0.0002761337,0.000028077106,0.0010182296],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.98038256,0.016572962,0.0010014148,0.0011137421,0.0005828339,0.0003464705],"domain_scores_gemma":[0.97489953,0.019634727,0.0029916635,0.0011547703,0.00044642104,0.0008728984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012524405,0.0021509572,0.0033217664,0.0010650307,0.0006935007,0.0016290706,0.0011415096,0.0029442066,0.010425203],"category_scores_gemma":[0.034701385,0.00086424005,0.0060042045,0.0008845655,0.0013197472,0.0024423432,0.0013881129,0.0029078822,0.0005363111],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9365114,0.0070081474,0.0020153131,0.004030811,0.017460069,0.0000754202,0.00022460532,0.0021235016,0.0007698864,0.00055296544,0.0006204568,0.02860741],"study_design_scores_gemma":[0.87360907,0.08626926,0.0033075928,0.0005135165,0.021801438,0.00006242211,0.000110816625,0.009088298,0.0007498697,0.0031157061,0.0012871424,0.00008487867],"about_ca_topic_score_codex":0.0009724518,"about_ca_topic_score_gemma":0.00088408525,"teacher_disagreement_score":0.012524405,"about_ca_system_score_codex":0.0011538507,"about_ca_system_score_gemma":0.0011916902,"threshold_uncertainty_score":0.0662362},"labels":[],"label_agreement":null},{"id":"W2919824149","doi":"10.1177/0272989x19832882","title":"Aiding Risk Information learning through Simulated Experience (ARISE): A Comparison of the Communication of Screening Test Information in Explicit and Simulated Experience Formats","year":2019,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; Sinai Health System; Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"","keywords":"Risk communication; Test (biology); Computer science; Psychology; Machine learning; Information retrieval; Medicine; Risk analysis (engineering)","score_opus":0.11368225923922429,"score_gpt":0.453634357758752,"score_spread":0.3399520985195277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2919824149","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9766838,0.00038272238,0.016310833,0.00046034445,0.000091342685,0.00065526395,0.00011008568,0.00020040972,0.005105192],"genre_scores_gemma":[0.9696797,0.00044988553,0.027651591,0.00029307432,0.00006419246,0.0008900847,0.000122351,0.000016303371,0.00083284173],"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9937251,0.004821029,0.00034257348,0.00030219462,0.00058810174,0.00022094614],"domain_scores_gemma":[0.93973655,0.05221567,0.0031837034,0.0019295227,0.0010979881,0.001836651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006801734,0.0006472348,0.0004428441,0.00046815132,0.00023295234,0.0013256378,0.0008299972,0.0010685617,0.0059341905],"category_scores_gemma":[0.067882575,0.0002425321,0.00044639962,0.00022295928,0.00055010145,0.0016198562,0.0017199535,0.0010071174,0.00053596235],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.03041192,0.030297533,0.055289924,0.0058803456,0.000556214,0.0008575,0.0179148,0.016736066,0.026763627,0.00425454,0.0028555377,0.80818194],"study_design_scores_gemma":[0.024947193,0.3125627,0.268392,0.008189419,0.0039068153,0.0059202746,0.021208914,0.18663768,0.07619291,0.030341964,0.05995211,0.0017480617],"about_ca_topic_score_codex":0.00030780118,"about_ca_topic_score_gemma":0.00029068638,"teacher_disagreement_score":0.006801734,"about_ca_system_score_codex":0.0003768726,"about_ca_system_score_gemma":0.00067757996,"threshold_uncertainty_score":0.035971463},"labels":[],"label_agreement":null},{"id":"W2935956843","doi":"10.1177/0272989x19841592","title":"Latent Class Models Reveal Poor Agreement between Discrete-Choice and Time Tradeoff Preferences","year":2019,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; Impact; Institute for Clinical Evaluative Sciences; University of Toronto; SickKids Foundation; Hospital for Sick Children; Public Health Ontario","funders":"Canadian Institutes of Health Research; EuroQol Research Foundation","keywords":"Latent class model; Anxiety; Time-trade-off; Psychology; Correlation; Multivariate statistics; Econometrics; Discrete choice; EQ-5D; Statistics; Medicine; Mathematics; Quality of life (healthcare); Psychiatry; Health related quality of life","score_opus":0.11032512056057094,"score_gpt":0.2653933828694856,"score_spread":0.15506826230891468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2935956843","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70639455,0.0019535755,0.2761226,0.0024849758,0.00019991472,0.0007596672,0.0028451302,0.00035031844,0.0088892095],"genre_scores_gemma":[0.98011166,0.00020146939,0.017242488,0.00033721628,0.00004304825,0.0004252492,0.0012816694,0.00004643652,0.00031079128],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.8583928,0.11073944,0.005192996,0.014988649,0.008849875,0.0018363248],"domain_scores_gemma":[0.35567877,0.5755231,0.028441643,0.03182243,0.0073155933,0.0012184647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.17798829,0.0014430033,0.002103344,0.0024503097,0.001481736,0.00577155,0.0027263605,0.001948318,0.0063031754],"category_scores_gemma":[0.3820157,0.00094226573,0.0040238444,0.002953756,0.006062617,0.003999615,0.0029211934,0.0036362854,0.0009886982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005726297,0.0008100355,0.6366225,0.0017456526,0.0083752815,0.00032301105,0.013308625,0.06594786,0.0013119791,0.10041025,0.007268459,0.15815015],"study_design_scores_gemma":[0.0006265707,0.000719922,0.31815234,0.0007853301,0.00065909955,0.00032877628,0.0035120074,0.33877784,0.0011942664,0.32706538,0.007775389,0.0004030557],"about_ca_topic_score_codex":0.014703917,"about_ca_topic_score_gemma":0.011211893,"teacher_disagreement_score":0.17798829,"about_ca_system_score_codex":0.0043014563,"about_ca_system_score_gemma":0.0014224653,"threshold_uncertainty_score":0.9413033},"labels":[],"label_agreement":null},{"id":"W2936510582","doi":"10.1177/0272989x19837969","title":"Toward a Centralized, Systematic Approach to the Identification, Appraisal, and Use of Health State Utility Values for Reimbursement Decision Making: Introducing the Health Utility Book (HUB)","year":2019,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Health Economics; University of Ottawa; Public Health Ontario; Sunnybrook Health Science Centre; University of Toronto; McMaster University; Health Sciences Centre; Impact","funders":"","keywords":"Reimbursement; Health care; Identification (biology); Quality (philosophy); Actuarial science; Checklist; Medicine; Risk analysis (engineering); Operations management; Management science; Business; Economics; Psychology","score_opus":0.3403244859399411,"score_gpt":0.46948516787381134,"score_spread":0.12916068193387026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2936510582","genre_codex":"methods","genre_gemma":"methods","domain_codex":"methods","domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024380647,0.059525058,0.6284552,0.2811534,0.008203435,0.012620574,0.0005608469,0.001707472,0.0053358627],"genre_scores_gemma":[0.018598495,0.015691549,0.9314855,0.019803286,0.0035495367,0.009415396,0.00028867918,0.00037974908,0.0007878375],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.28131014,0.5589142,0.08749722,0.010174695,0.059823364,0.0022803908],"domain_scores_gemma":[0.12539984,0.58559054,0.050928168,0.048468303,0.18114361,0.008469588],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.6810407,0.0024708067,0.0068128826,0.016565546,0.003230207,0.030099222,0.008605014,0.00915157,0.0022472173],"category_scores_gemma":[0.7288607,0.0025342854,0.004985843,0.010799488,0.017271023,0.024363298,0.018805953,0.020722749,0.002027364],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033329063,0.00024079766,0.0029781114,0.021825524,0.0012431018,0.00033650556,0.011514264,0.0030045416,0.0012882488,0.10618041,0.09166455,0.7593906],"study_design_scores_gemma":[0.0010355843,0.0012488039,0.004666371,0.13187341,0.0017331288,0.0010024828,0.008228789,0.018560814,0.0037917828,0.42503113,0.40160042,0.0012272951],"about_ca_topic_score_codex":0.0049712043,"about_ca_topic_score_gemma":0.007475163,"teacher_disagreement_score":0.6810407,"about_ca_system_score_codex":0.01867388,"about_ca_system_score_gemma":0.10680408,"threshold_uncertainty_score":0.39333367},"labels":[],"label_agreement":null},{"id":"W2941632791","doi":"10.1177/0272989x19851049","title":"Manipulating the 5 Dimensions of the EuroQol Instrument: The Effects on Self-Reporting Actual Health and Valuing Hypothetical Health States","year":2019,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"EuroQol Research Foundation","keywords":"Anxiety; EQ-5D; Context (archaeology); Valuation (finance); Psychology; Population; Mental health; Medicine; Psychiatry; Disease; Environmental health; Economics","score_opus":0.21052394097115604,"score_gpt":0.43098098267127777,"score_spread":0.22045704170012173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2941632791","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950505,0.00012255352,0.0017633651,0.00016689721,0.00005884513,0.0004466152,0.00018285342,0.000025823463,0.0021826047],"genre_scores_gemma":[0.97612065,0.00019126406,0.018906055,0.00035926918,0.000056898283,0.0030548074,0.0002097684,0.000028864994,0.0010724036],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98678243,0.009034099,0.001165733,0.0011822638,0.0014282493,0.000407183],"domain_scores_gemma":[0.8576977,0.12574773,0.010108075,0.0038111748,0.0011188091,0.0015165576],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.008409366,0.00094968476,0.00061463274,0.00046403919,0.00050585443,0.0017569336,0.0007346131,0.0014567703,0.00621511],"category_scores_gemma":[0.04591515,0.0006765263,0.0009019155,0.000426762,0.0016989391,0.0012573819,0.0015363181,0.0019806148,0.00035349504],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.16405126,0.091997616,0.1830131,0.0061136405,0.0028302637,0.00062784686,0.021246137,0.010824717,0.28733405,0.014270854,0.0027403173,0.21495025],"study_design_scores_gemma":[0.020065282,0.2345826,0.60458416,0.00081961544,0.002607893,0.00050641387,0.0039503016,0.018128954,0.08419853,0.012788997,0.016978297,0.0007890645],"about_ca_topic_score_codex":0.00054939435,"about_ca_topic_score_gemma":0.00047043813,"teacher_disagreement_score":0.9915906,"about_ca_system_score_codex":0.0008679947,"about_ca_system_score_gemma":0.0006435025,"threshold_uncertainty_score":0.04447353},"labels":[],"label_agreement":null},{"id":"W2946857827","doi":"10.1177/0272989x19851346","title":"Decisional Conflict Scale Findings among Patients and Surrogates Making Health Decisions: Part II of an Anniversary Review","year":2019,"lang":"en","type":"review","venue":"Medical Decision Making","topic":"Ethics and Legal Issues in Pediatric Healthcare","field":"Medicine","cited_by":103,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale; Ottawa Hospital; Centres Intégré Universitaires de Santé et de Services Sociaux; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Université Laval; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean","funders":"Institute of Health Services and Policy Research; Canadian Institutes of Health Research","keywords":"Scale (ratio); Psychology; Operations research; Management science; Medicine; Economics; Geography; Engineering","score_opus":0.12416427439300685,"score_gpt":0.47494299596039397,"score_spread":0.3507787215673871,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946857827","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001026474,0.996227,0.00012264602,0.00071667443,0.0003998036,0.00023340229,0.00042342243,0.000004644898,0.00084597716],"genre_scores_gemma":[0.013961154,0.9817202,0.0007241667,0.00083649217,0.00038587945,0.0011614197,0.00082665845,0.000008274274,0.00037572265],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9854613,0.0037388247,0.00671383,0.0007707771,0.0029539568,0.00036132918],"domain_scores_gemma":[0.9071844,0.064138755,0.017929,0.0011022757,0.00878937,0.00085621537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017447487,0.0012307713,0.0039470657,0.024571756,0.0007053444,0.0045911125,0.0019331955,0.0021009983,0.0069603506],"category_scores_gemma":[0.100224696,0.0013033411,0.0050388714,0.017515382,0.0010833127,0.0037224372,0.0026512358,0.0015019187,0.00076924457],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003192733,0.00006454023,0.004223382,0.73752767,0.004021228,0.0002572295,0.0010284898,0.00015129532,0.00024404569,0.001132253,0.013767427,0.23726316],"study_design_scores_gemma":[0.000094717136,0.00024032059,0.01940573,0.8943973,0.0085663665,0.0006364842,0.0010793495,0.00008100767,0.00022808912,0.00091595604,0.07429549,0.000059217036],"about_ca_topic_score_codex":0.005097457,"about_ca_topic_score_gemma":0.012793523,"teacher_disagreement_score":0.024571756,"about_ca_system_score_codex":0.005395788,"about_ca_system_score_gemma":0.010705978,"threshold_uncertainty_score":0.09227222},"labels":[],"label_agreement":null},{"id":"W2947651119","doi":"10.1177/0272989x19851345","title":"Decisional Conflict Scale Use over 20 Years: The Anniversary Review","year":2019,"lang":"en","type":"review","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":175,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale; Ottawa Hospital; Centres Intégré Universitaires de Santé et de Services Sociaux; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Université Laval; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean","funders":"Institute of Health Services and Policy Research; Canadian Institutes of Health Research","keywords":"Scale (ratio); Geography; Cartography","score_opus":0.5006534926653604,"score_gpt":0.5603488189049478,"score_spread":0.0596953262395874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947651119","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00021046567,0.99842155,0.000040363302,0.00035907057,0.0003605258,0.000030233112,0.00023165338,0.0000050177714,0.00034116485],"genre_scores_gemma":[0.004079204,0.9943116,0.00022140316,0.00035803864,0.00035512296,0.00014470029,0.00037124878,0.00000668584,0.0001520395],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9902749,0.0021940568,0.0039114966,0.0007807208,0.0025875294,0.00025126105],"domain_scores_gemma":[0.9422688,0.031706575,0.015206176,0.00071386236,0.009194721,0.00090982165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014080531,0.0012968798,0.0050282516,0.023808455,0.00051770604,0.0040938086,0.0020874487,0.002011368,0.00723749],"category_scores_gemma":[0.061479736,0.0011768747,0.0046946453,0.022336695,0.0010171473,0.0054445993,0.002875846,0.0024815376,0.001075073],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033552025,0.000041023126,0.0023759152,0.4811695,0.0032223142,0.00014309728,0.0003652311,0.00023006351,0.0001361548,0.0011388427,0.032918517,0.4779238],"study_design_scores_gemma":[0.00013289994,0.00023013011,0.018609758,0.7665736,0.010143936,0.00079819316,0.00051905395,0.00017714457,0.00015957697,0.0014648978,0.20108856,0.000102305894],"about_ca_topic_score_codex":0.005975284,"about_ca_topic_score_gemma":0.011554626,"teacher_disagreement_score":0.023808455,"about_ca_system_score_codex":0.005451715,"about_ca_system_score_gemma":0.007742686,"threshold_uncertainty_score":0.07446581},"labels":[],"label_agreement":null},{"id":"W2950093054","doi":"10.1177/0272989x18824098","title":"Development and Validation of the Evaluation Platform in COPD (EPIC): A Population-Based Outcomes Model of COPD for Canada","year":2019,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Vancouver Coastal Health; Statistics Canada; University of British Columbia","funders":"Canadian Institutes of Health Research; University of Ottawa","keywords":"COPD; Medicine; Population; Comorbidity; Internal validity; EPIC; External validity; Intensive care medicine; Environmental health; Internal medicine; Statistics","score_opus":0.05696532586295661,"score_gpt":0.3671592186248106,"score_spread":0.310193892761854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950093054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49137416,0.0014631961,0.33639848,0.012402278,0.0005819759,0.003626069,0.089394495,0.0035270846,0.061232362],"genre_scores_gemma":[0.8464403,0.0007812395,0.12131943,0.0006923841,0.000054306758,0.0012904548,0.022570156,0.00031365931,0.0065380074],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880886,0.00042798888,0.000055157772,0.00014996124,0.00035821318,0.00019996348],"domain_scores_gemma":[0.99442434,0.0015369933,0.00028479795,0.00018244928,0.0030478607,0.00052358565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038510936,0.00080187875,0.0005516073,0.0011403164,0.0012218329,0.0015441733,0.002956913,0.00078007154,0.004282273],"category_scores_gemma":[0.012425457,0.00039139856,0.0011279404,0.0013459213,0.00077126897,0.00055350567,0.0014674217,0.0014773099,0.00040918737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020977487,0.00009829119,0.029690986,0.00012005184,0.00012021807,0.00010776166,0.00017620597,0.92881495,0.0001524934,0.013073903,0.014199649,0.013235743],"study_design_scores_gemma":[0.0001530401,0.000041914158,0.0075806715,0.000070771064,0.000056926703,0.000024822968,0.00010941393,0.9792234,0.00014877002,0.0037759892,0.008766365,0.000047936774],"about_ca_topic_score_codex":0.96615165,"about_ca_topic_score_gemma":0.9401485,"teacher_disagreement_score":0.033848345,"about_ca_system_score_codex":0.027351592,"about_ca_system_score_gemma":0.067652516,"threshold_uncertainty_score":0.19845057},"labels":[],"label_agreement":null},{"id":"W2966994690","doi":"10.1177/0272989x19868193","title":"Are Patient Decision Aids Used in Clinical Practice after Rigorous Evaluation? A Survey of Trial Authors","year":2019,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":121,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Decision aids; Psychological intervention; Medicine; Descriptive statistics; Government (linguistics); Family medicine; Health care; Alternative medicine; Nursing; Psychology","score_opus":0.3912548302796354,"score_gpt":0.5840144983006573,"score_spread":0.1927596680210219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966994690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":"methods","domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89390755,0.056996003,0.0055871666,0.028036114,0.0007635462,0.0052436967,0.0011773034,0.00014211658,0.008146536],"genre_scores_gemma":[0.9801119,0.0057866788,0.00521327,0.0040525207,0.00016046882,0.0040971367,0.000285078,0.000043010343,0.00025008369],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.26263532,0.49402913,0.1892661,0.00959864,0.04032939,0.004141406],"domain_scores_gemma":[0.07929871,0.643955,0.17998892,0.028175024,0.06085688,0.007725421],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.5332667,0.00043458553,0.0023733894,0.0068192254,0.002273427,0.013451048,0.002410136,0.003962325,0.0017061861],"category_scores_gemma":[0.84995663,0.0018009611,0.001863306,0.009449505,0.004686785,0.011549622,0.0052706557,0.0029113838,0.00058458943],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004482493,0.00068308954,0.7183143,0.0081792,0.001112612,0.00021036775,0.066824175,0.0002670569,0.0002615449,0.0012499725,0.0055404734,0.19287471],"study_design_scores_gemma":[0.0047975495,0.016650874,0.72681105,0.039679542,0.002468134,0.0021482033,0.1298329,0.0034298147,0.001688859,0.005911011,0.06561624,0.00096586946],"about_ca_topic_score_codex":0.0029254032,"about_ca_topic_score_gemma":0.002945894,"teacher_disagreement_score":0.46673328,"about_ca_system_score_codex":0.008463118,"about_ca_system_score_gemma":0.022091853,"threshold_uncertainty_score":0.5755653},"labels":[],"label_agreement":null},{"id":"W2967387702","doi":"10.1177/0272989x19866296","title":"Implementation Research on Shared Decision Making in Primary Care: Inventory of Intracluster Correlation Coefficients","year":2019,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"Fonds de Recherche du Québec - Santé; Canada Research Chairs","keywords":"Interquartile range; Statistics; Random effects model; Medicine; Cluster (spacecraft); Meta-analysis; Computer science; Mathematics; Internal medicine","score_opus":0.25745492534839015,"score_gpt":0.5440534075821251,"score_spread":0.2865984822337349,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967387702","genre_codex":"methods","genre_gemma":"empirical","domain_codex":"methods","domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"methods","domain_consensus":"methods","prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32748628,0.042108074,0.5813085,0.004893306,0.0010852717,0.013717483,0.0037951753,0.00061497994,0.024990952],"genre_scores_gemma":[0.8249002,0.002883974,0.1578071,0.0005647247,0.00023832607,0.012395996,0.00086916145,0.00010227808,0.0002381879],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.39450932,0.49751928,0.04756603,0.017228836,0.041575115,0.001601441],"domain_scores_gemma":[0.08935804,0.79751474,0.05909957,0.025548426,0.027667843,0.0008114735],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4725447,0.001365764,0.0033152874,0.011106726,0.00169815,0.0048950026,0.0023637568,0.001387158,0.0017267928],"category_scores_gemma":[0.6310816,0.001373244,0.00804823,0.014672028,0.007327653,0.0050623924,0.0053348867,0.0032496527,0.0001795694],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010590492,0.0004272002,0.5944081,0.015589747,0.029273262,0.00012875716,0.016224734,0.009242078,0.00041536908,0.037891805,0.005435835,0.28990415],"study_design_scores_gemma":[0.0010026739,0.005991961,0.7795459,0.017433967,0.016869012,0.0008480288,0.007893308,0.048169617,0.0030922575,0.09576042,0.022641152,0.0007516015],"about_ca_topic_score_codex":0.0029847014,"about_ca_topic_score_gemma":0.0033392643,"teacher_disagreement_score":0.52745533,"about_ca_system_score_codex":0.0047798245,"about_ca_system_score_gemma":0.008126703,"threshold_uncertainty_score":0.6504463},"labels":[],"label_agreement":null},{"id":"W2970783423","doi":"10.1177/0272989x19856617","title":"Exclusion Criteria as Measurements I: Identifying Invalid Responses","year":2019,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; National Institutes of Health; National Center for Advancing Translational Sciences; Riksbankens Jubileumsfond","keywords":"Valuation (finance); Sample (material); Psychology; Actuarial science; Econometrics; Medicine; Social psychology; Economics","score_opus":0.575652382298607,"score_gpt":0.5373958065628411,"score_spread":0.03825657573576591,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970783423","genre_codex":"protocol","genre_gemma":"methods","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21769322,0.067244664,0.27465278,0.034053087,0.01942434,0.30850995,0.032642953,0.0025227447,0.04325629],"genre_scores_gemma":[0.39761898,0.008071769,0.18036243,0.026385635,0.0022065178,0.37051657,0.009323341,0.00075273257,0.004762051],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.45702878,0.3353546,0.14187469,0.01642156,0.044783514,0.004536886],"domain_scores_gemma":[0.30610368,0.5016917,0.09637505,0.0570718,0.03613463,0.0026231739],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.32894927,0.0026701565,0.004738107,0.00913846,0.0038379924,0.003576188,0.0044078734,0.0056863273,0.008406241],"category_scores_gemma":[0.5922237,0.0013498649,0.00618416,0.010990368,0.0053857705,0.0038617933,0.00517098,0.003563955,0.0018356913],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.012800973,0.0008473571,0.14295568,0.20516986,0.008724478,0.0047210567,0.04738502,0.0023512805,0.0039671278,0.080320805,0.1551434,0.335613],"study_design_scores_gemma":[0.0048976056,0.0023155322,0.21878935,0.18226275,0.006670727,0.003275626,0.009035759,0.010038099,0.010339207,0.123225465,0.42803586,0.0011140283],"about_ca_topic_score_codex":0.0027999682,"about_ca_topic_score_gemma":0.00304245,"teacher_disagreement_score":0.6710507,"about_ca_system_score_codex":0.0063190334,"about_ca_system_score_gemma":0.010081256,"threshold_uncertainty_score":0.827525},"labels":[],"label_agreement":null},{"id":"W2971133796","doi":"10.1177/0272989x19862542","title":"Exclusion Criteria as Measurements II: Effects on Utility Functions","year":2019,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; National Institutes of Health; National Center for Advancing Translational Sciences; Riksbankens Jubileumsfond","keywords":"Computer science; Risk analysis (engineering); Actuarial science; Medicine; Economics","score_opus":0.3640739332785422,"score_gpt":0.4811623043652489,"score_spread":0.11708837108670672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971133796","genre_codex":"methods","genre_gemma":"empirical","domain_codex":"methods","domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15502064,0.007582663,0.7351887,0.017966429,0.0066696135,0.037744004,0.008414362,0.0010896809,0.030323822],"genre_scores_gemma":[0.4702744,0.0014231607,0.41445887,0.012937344,0.0012889424,0.091680355,0.0029302223,0.0008107959,0.004195951],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.33661017,0.5491314,0.046320982,0.01565424,0.049250945,0.003032221],"domain_scores_gemma":[0.17291974,0.69781643,0.05777748,0.050073173,0.020062134,0.0013511424],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.33849028,0.0024012534,0.003281359,0.0038363612,0.0034018059,0.0043584444,0.0047077783,0.004804684,0.008416697],"category_scores_gemma":[0.69097155,0.0010937616,0.0072515374,0.0069863535,0.007510798,0.003536051,0.005398035,0.008076388,0.0013370991],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.018312111,0.0022921292,0.20883526,0.014077103,0.008811651,0.0023415452,0.018025374,0.016513366,0.0046435655,0.20391543,0.11213174,0.39010075],"study_design_scores_gemma":[0.0047973963,0.0075649926,0.3625097,0.025255343,0.004406551,0.002757261,0.004288853,0.064052336,0.017760519,0.27659985,0.22858687,0.0014202786],"about_ca_topic_score_codex":0.0024074994,"about_ca_topic_score_gemma":0.0029220462,"teacher_disagreement_score":0.33849028,"about_ca_system_score_codex":0.004995871,"about_ca_system_score_gemma":0.0042560496,"threshold_uncertainty_score":0.8157593},"labels":[],"label_agreement":null},{"id":"W2976393939","doi":"10.1177/0272989x19873625","title":"Primary Care Providers’ Preferences and Concerns Regarding Specific Visual Displays for Returning Hemoglobin A1c Test Results to Patients","year":2019,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Agency for Healthcare Research and Quality","keywords":"Primary care; Test (biology); Medicine; Hemoglobin; Psychology; Family medicine; Internal medicine","score_opus":0.04446923732404293,"score_gpt":0.4232392161828472,"score_spread":0.37876997885880426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2976393939","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966708,0.00033019975,0.000222928,0.0011474278,0.0000142713025,0.000028467346,0.0000741023,0.000008501539,0.0015032818],"genre_scores_gemma":[0.99834895,0.00024229412,0.000516576,0.00060865236,0.000013632913,0.000024984818,0.00003280446,0.0000030645645,0.00020902006],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960659,0.0021760713,0.00032350922,0.0002328015,0.000874873,0.00032682266],"domain_scores_gemma":[0.9728022,0.01747983,0.0057937847,0.00058127206,0.0019442603,0.0013984597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055933823,0.00015073777,0.00017191544,0.00041300143,0.00056240696,0.001347667,0.00026821063,0.00081566133,0.0042322665],"category_scores_gemma":[0.034036476,0.00026215333,0.0003604531,0.00039949312,0.00047638692,0.0006231631,0.00057835184,0.0004891891,0.0003151985],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006941676,0.00048569505,0.91458637,0.00047984597,0.0001103473,0.0009050872,0.02517329,0.0002474267,0.00247907,0.00023046038,0.0046902075,0.049917977],"study_design_scores_gemma":[0.000107115535,0.0014859093,0.9356097,0.00042736603,0.00011246324,0.0025604207,0.051886786,0.0011138588,0.001008227,0.00027661852,0.0053615845,0.00004997518],"about_ca_topic_score_codex":0.0038914185,"about_ca_topic_score_gemma":0.0072383094,"teacher_disagreement_score":0.0055933823,"about_ca_system_score_codex":0.0006211101,"about_ca_system_score_gemma":0.00061804266,"threshold_uncertainty_score":0.02958101},"labels":[],"label_agreement":null},{"id":"W2980705747","doi":"10.1177/0272989x19879095","title":"Probabilistic Graphical Modeling for Estimating Risk of Coronary Artery Disease: Applications of a Flexible Machine-Learning Method","year":2019,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Public Health Ontario; University of Toronto; University of Calgary","funders":"","keywords":"Machine learning; Bayesian network; Artificial intelligence; Coronary artery disease; Missing data; CAD; Computer science; Receiver operating characteristic; Probabilistic logic; Logistic regression; Risk assessment; Artificial neural network; Support vector machine; Medicine; Internal medicine; Engineering","score_opus":0.10613431735221995,"score_gpt":0.5019966610811613,"score_spread":0.3958623437289413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980705747","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0038138595,0.00019529267,0.99529016,0.00018138105,0.000014995123,0.000023496808,0.000053022122,0.0001344024,0.00029328844],"genre_scores_gemma":[0.42230555,0.00094561774,0.5745377,0.00022878397,0.00015440592,0.00036309139,0.000364408,0.00010203564,0.0009983977],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969983,0.002007978,0.00012660048,0.00033454562,0.00044471837,0.000087889],"domain_scores_gemma":[0.98655486,0.011350486,0.00084425585,0.00057854,0.00051551097,0.00015637073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006414297,0.001023584,0.0010248413,0.0021075276,0.0005487611,0.0009991952,0.0016807794,0.0011732359,0.0015179862],"category_scores_gemma":[0.021580957,0.000737625,0.0015624468,0.001380078,0.0013322048,0.0014784836,0.0016370892,0.0018797724,0.00030575445],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000379342,0.000034606044,0.0029097588,0.00006569567,0.000088053675,0.0000779194,0.00008130038,0.9162179,0.00037973924,0.0345636,0.0005699028,0.044973664],"study_design_scores_gemma":[0.000006975666,0.0000072254934,0.00023041906,0.000012849879,0.0000063701664,0.000020807267,0.00000388908,0.97748965,0.000055415185,0.021914944,0.000243557,0.000007898406],"about_ca_topic_score_codex":0.008831222,"about_ca_topic_score_gemma":0.0053865802,"teacher_disagreement_score":0.008831222,"about_ca_system_score_codex":0.0012205674,"about_ca_system_score_gemma":0.0011610483,"threshold_uncertainty_score":0.033922434},"labels":[],"label_agreement":null},{"id":"W2984574415","doi":"10.1177/0272989x19883631","title":"Using an Online, Modified Delphi Approach to Engage Patients and Caregivers in Determining the Patient-Centeredness of Duchenne Muscular Dystrophy Care Considerations","year":2019,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Economic and Social Research Council; National Institutes of Health; Patient-Centered Outcomes Research Institute","keywords":"Operationalization; Duchenne muscular dystrophy; Medicine; Guideline; Delphi method; Health care; Family medicine","score_opus":0.17600927948378278,"score_gpt":0.42835953039000746,"score_spread":0.25235025090622465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2984574415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6624074,0.00057526416,0.18863687,0.008608172,0.0005013915,0.11766195,0.00080062856,0.0003536245,0.020454636],"genre_scores_gemma":[0.5472084,0.00050038024,0.30492547,0.004384787,0.00017512201,0.13977152,0.00035896536,0.00005495465,0.0026203762],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.86220634,0.12079553,0.0053395405,0.003564662,0.004244334,0.0038495786],"domain_scores_gemma":[0.9071736,0.06538347,0.005238174,0.0053382255,0.013695742,0.0031708535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09910604,0.0016275065,0.0009501233,0.0030544521,0.004089796,0.0022861124,0.001967709,0.0016988767,0.0077151414],"category_scores_gemma":[0.09177148,0.0010248222,0.0013361304,0.0013545036,0.0029075022,0.003186422,0.010620973,0.0029570225,0.0013687003],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027913987,0.0033862216,0.025387498,0.0045401244,0.00039653442,0.0023672315,0.45514876,0.0048418595,0.02101006,0.010889964,0.02381281,0.4454275],"study_design_scores_gemma":[0.0033700464,0.010555196,0.060497355,0.0054839933,0.00045225152,0.0031921507,0.6452352,0.038507055,0.018584002,0.062984295,0.14972815,0.0014103508],"about_ca_topic_score_codex":0.0014533334,"about_ca_topic_score_gemma":0.003533186,"teacher_disagreement_score":0.09910604,"about_ca_system_score_codex":0.0033263904,"about_ca_system_score_gemma":0.010793957,"threshold_uncertainty_score":0.52412915},"labels":[],"label_agreement":null},{"id":"W2984840138","doi":"10.1177/0272989x19884541","title":"SURE Test Accuracy for Decisional Conflict Screening among Parents Making Decisions for Their Child","year":2019,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Ethics and Legal Issues in Pediatric Healthcare","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Université Laval; Ottawa Hospital; Western University","funders":"Canadian Institutes of Health Research","keywords":"Confidence interval; Medicine; Interquartile range; Test (biology); Statistics; Analysis of variance; Internal medicine; Mathematics","score_opus":0.07942466816868657,"score_gpt":0.4291954191464154,"score_spread":0.3497707509777288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2984840138","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901183,0.0014466083,0.003943161,0.00030377205,0.000106062005,0.00019902033,0.00069088506,0.000083741754,0.0031084414],"genre_scores_gemma":[0.9955022,0.00014801,0.003459084,0.000109392386,0.000026550679,0.00016109814,0.00039886875,0.000009778736,0.00018497882],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9780637,0.01451186,0.0019527368,0.0018825673,0.003005326,0.00058376],"domain_scores_gemma":[0.94223154,0.040399767,0.010598871,0.0026216651,0.0029217652,0.0012264134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.021020003,0.00066695747,0.00096269714,0.0014761526,0.00033289072,0.0010198399,0.0008073078,0.001000564,0.0034126996],"category_scores_gemma":[0.0734578,0.0004167326,0.001614963,0.0007045886,0.0008533384,0.0012510999,0.0011533035,0.00090109254,0.0005278456],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002020772,0.00021701946,0.97165763,0.00017691021,0.0002788116,0.000053330805,0.00025968108,0.0005245867,0.0002681331,0.00025385577,0.0008600945,0.023429222],"study_design_scores_gemma":[0.00022183922,0.0029184131,0.9836007,0.00022696749,0.0003056017,0.00067879335,0.00028634848,0.008627064,0.0014982141,0.0005323646,0.0010543042,0.000049362265],"about_ca_topic_score_codex":0.0007812868,"about_ca_topic_score_gemma":0.0012351191,"teacher_disagreement_score":0.021020003,"about_ca_system_score_codex":0.000443752,"about_ca_system_score_gemma":0.00075275317,"threshold_uncertainty_score":0.11116576},"labels":[],"label_agreement":null},{"id":"W2994984937","doi":"10.1177/0272989x19889356","title":"Development and Calibration of a Dynamic HIV Transmission Model for 6 US Cities","year":2019,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"AIDS Vancouver; Simon Fraser University","funders":"National Institute on Drug Abuse","keywords":"Atlanta; Replicate; Calibration; Robustness (evolution); Computer science; Face validity; Statistics; Medicine; Mathematics","score_opus":0.032153682435968604,"score_gpt":0.36666736034765113,"score_spread":0.3345136779116825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994984937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5354952,0.0006850132,0.43212715,0.0031325186,0.00014813793,0.00071176904,0.008107224,0.00073764194,0.018855376],"genre_scores_gemma":[0.90444785,0.0003592952,0.08903411,0.00024129992,0.000020527792,0.00061709684,0.0029205105,0.00008305316,0.002276374],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988794,0.0005685046,0.00007282937,0.00023984087,0.00012263199,0.000116765324],"domain_scores_gemma":[0.997012,0.0016632355,0.00031288425,0.00014917928,0.00076218107,0.000100419915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039929077,0.0008481875,0.0007245223,0.0010855069,0.00063305936,0.0015184828,0.0023100083,0.0016287636,0.0031062353],"category_scores_gemma":[0.009312687,0.0007399343,0.0017761489,0.0010981482,0.00067366,0.0010650296,0.0014901934,0.0018117108,0.00032492803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001687696,0.0000140554985,0.0027829264,0.000020869818,0.000022877663,0.000035382796,0.00003225523,0.99219525,0.00008161114,0.0026009572,0.00035856824,0.0018383019],"study_design_scores_gemma":[0.000024926501,0.000019799476,0.00091470464,0.00002074609,0.000026843058,0.0000148588215,0.00003859849,0.994962,0.00013034497,0.002813138,0.0010176115,0.000016524506],"about_ca_topic_score_codex":0.08269781,"about_ca_topic_score_gemma":0.04087542,"teacher_disagreement_score":0.08269781,"about_ca_system_score_codex":0.004016261,"about_ca_system_score_gemma":0.0043113357,"threshold_uncertainty_score":0.16443288},"labels":[],"label_agreement":null},{"id":"W2999942009","doi":"10.1177/0272989x19896567","title":"Exploring the Benefits of Transformations in Health Utility Mapping","year":2020,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; Toronto Public Health; Toronto General Hospital; University of Toronto","funders":"","keywords":"Skewness; Econometrics; Statistics; Estimator; Computer science; Kurtosis; Transformation (genetics); Sample size determination; Mathematics","score_opus":0.7041942650901617,"score_gpt":0.4628553782038871,"score_spread":0.24133888688627458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999942009","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1376406,0.0017092394,0.8469484,0.0037800104,0.00031101715,0.001073062,0.00078407745,0.0013578098,0.0063957474],"genre_scores_gemma":[0.69594496,0.0005764803,0.30109113,0.00036948785,0.000073212585,0.0006425309,0.00034696353,0.0003119355,0.0006433415],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.90083575,0.08741303,0.0030134355,0.0029054338,0.005144102,0.0006882368],"domain_scores_gemma":[0.5209373,0.4268948,0.013962089,0.024744134,0.012812462,0.00064915273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.10779115,0.0017365647,0.0009420629,0.0026010592,0.0008622068,0.0036085837,0.0020083713,0.0015895632,0.004315442],"category_scores_gemma":[0.44611666,0.00076396944,0.0029616698,0.004367113,0.0036011692,0.00630076,0.00319637,0.0035492461,0.00068378606],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026488807,0.0007082268,0.10183465,0.001610748,0.0012257888,0.0009348559,0.006267368,0.32658032,0.002294085,0.17337607,0.0062111784,0.37630782],"study_design_scores_gemma":[0.00058421004,0.0025222402,0.020620147,0.0010906635,0.00064545276,0.0010651062,0.002655956,0.6579332,0.008610255,0.2858062,0.018143438,0.00032317743],"about_ca_topic_score_codex":0.006863385,"about_ca_topic_score_gemma":0.00398437,"teacher_disagreement_score":0.10779115,"about_ca_system_score_codex":0.0023708078,"about_ca_system_score_gemma":0.0032411304,"threshold_uncertainty_score":0.57006085},"labels":[],"label_agreement":null},{"id":"W3003342603","doi":"10.1177/0272989x19893973","title":"A Multidimensional Array Representation of State-Transition Model Dynamics","year":2020,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Graduate School of Public Health, University of Pittsburgh; National Cancer Institute; Erasmus Universitair Medisch Centrum Rotterdam; National Institutes of Health; Hospital for Sick Children; National Institute of Allergy and Infectious Diseases; University of Pittsburgh; University of Toronto; University of Minnesota","keywords":"TRACE (psycholinguistics); Occupancy; Computer science; Representation (politics); Cohort; Transition (genetics); Econometrics; Statistics; Mathematics; Engineering; Chemistry","score_opus":0.11931891840557238,"score_gpt":0.40860248214655187,"score_spread":0.2892835637409795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003342603","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017766982,0.00017338335,0.97376484,0.00048296252,0.00007856863,0.00004794338,0.0036232835,0.0013064927,0.002755605],"genre_scores_gemma":[0.5246404,0.0005776082,0.45756507,0.00032328148,0.00015780352,0.00075365737,0.009491844,0.000330082,0.0061602574],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99900717,0.00036860773,0.00009662938,0.00028877467,0.0001408162,0.00009807594],"domain_scores_gemma":[0.9967385,0.002022942,0.0003260667,0.00038422315,0.00042629926,0.000101940845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014818248,0.00090124144,0.00096357346,0.0012898878,0.0005137652,0.0027471504,0.0011877663,0.001199678,0.011041455],"category_scores_gemma":[0.008808702,0.00046071655,0.0013748306,0.0019816444,0.00043106324,0.0019985891,0.0014267687,0.0022623718,0.0017731569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008553231,0.00006339749,0.0041264812,0.000073407005,0.00006585065,0.000111979716,0.00014747262,0.9119469,0.0005707097,0.052923445,0.0041252496,0.025759585],"study_design_scores_gemma":[0.000005733744,0.000013530345,0.00025173786,0.000008270209,0.000006837347,0.000017467573,0.00001897849,0.9804559,0.00013015587,0.017425453,0.0016552206,0.000010765379],"about_ca_topic_score_codex":0.011787465,"about_ca_topic_score_gemma":0.007877477,"teacher_disagreement_score":0.011787465,"about_ca_system_score_codex":0.0009560005,"about_ca_system_score_gemma":0.001345424,"threshold_uncertainty_score":0.036937356},"labels":[],"label_agreement":null},{"id":"W3016378832","doi":"10.1177/0272989x20912402","title":"Calculating the Expected Value of Sample Information in Practice: Considerations from 3 Case Studies","year":2020,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"National Center for Advancing Translational Sciences; NIH Clinical Center; National Cancer Institute; Medical Research Council; National Institute for Health and Care Research; Canadian Institutes of Health Research; Norges Forskningsråd; National Institute of Allergy and Infectious Diseases; Stanford University","keywords":"Monte Carlo method; Sample size determination; Computer science; Range (aeronautics); Sample (material); Computation; Observational study; Mathematical optimization; Econometrics; Statistics; Data mining; Algorithm; Mathematics","score_opus":0.42392029892803645,"score_gpt":0.5099003153606245,"score_spread":0.08598001643258807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016378832","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.106311925,0.009749078,0.8571527,0.008871245,0.00022825072,0.0015881454,0.00059615064,0.00018300452,0.01531953],"genre_scores_gemma":[0.444857,0.0046131364,0.5462809,0.0007082001,0.00014919405,0.0020860587,0.0002732961,0.0000775859,0.0009546211],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.92299604,0.067217365,0.0029342945,0.0013534104,0.0047159735,0.00078293605],"domain_scores_gemma":[0.48393536,0.49680665,0.0068868115,0.005981674,0.0054407385,0.0009487915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08408643,0.0013015597,0.0018595454,0.0027723694,0.0014321248,0.0040457,0.004466147,0.00450071,0.003766056],"category_scores_gemma":[0.27613056,0.0010547985,0.003516638,0.0038202768,0.002601798,0.0038252834,0.0029022165,0.004300023,0.00029301364],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011638445,0.0006281524,0.0262365,0.0030726506,0.0008608356,0.004204514,0.0016325548,0.64373994,0.0006069079,0.17463239,0.0058190636,0.13740267],"study_design_scores_gemma":[0.00043889342,0.00079484814,0.0046217074,0.0022031462,0.00058728916,0.0025072072,0.00091365265,0.7964763,0.0019924138,0.17633449,0.012960311,0.00016974485],"about_ca_topic_score_codex":0.009459039,"about_ca_topic_score_gemma":0.011072531,"teacher_disagreement_score":0.08408643,"about_ca_system_score_codex":0.005527398,"about_ca_system_score_gemma":0.004317155,"threshold_uncertainty_score":0.4446969},"labels":[],"label_agreement":null},{"id":"W3019206888","doi":"10.1177/0272989x20915241","title":"Framework for Drug Formulary Decision Using Multiple-Criteria Decision Analysis","year":2020,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Formulary; Multiple-criteria decision analysis; Computer science; Decision analysis; Portfolio; Set (abstract data type); Preference; Risk analysis (engineering); Management science; Operations research; Actuarial science; Medicine; Mathematics; Economics; Statistics; Family medicine","score_opus":0.4249918625366504,"score_gpt":0.5139184468295667,"score_spread":0.08892658429291628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3019206888","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026246617,0.0008765634,0.9832811,0.0015305481,0.000092725495,0.00053806615,0.00045346192,0.00015249176,0.010450379],"genre_scores_gemma":[0.15106107,0.0012028816,0.84067833,0.00038618382,0.00019306033,0.0025288097,0.0007168572,0.00008989903,0.0031429087],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98343015,0.01137577,0.00062073773,0.0013652409,0.0024937054,0.0007144409],"domain_scores_gemma":[0.9825478,0.013866672,0.000785995,0.00031925936,0.0019897062,0.0004905762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018407088,0.0037677542,0.0034381824,0.005741448,0.0016507495,0.006405502,0.00472725,0.0036825114,0.012560547],"category_scores_gemma":[0.02135164,0.001405316,0.0041286713,0.0050378176,0.0029329055,0.0025527622,0.003593304,0.004460706,0.0012615649],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003543141,0.00007952045,0.0005148875,0.00034576355,0.00015354653,0.00020191686,0.00017484449,0.72978693,0.00013972814,0.24671517,0.0025911576,0.019261137],"study_design_scores_gemma":[0.000053673582,0.000041213956,0.00011140362,0.0001100778,0.000037448728,0.000038631657,0.00006498109,0.76649964,0.00008525287,0.22879642,0.004129607,0.000031664575],"about_ca_topic_score_codex":0.018197967,"about_ca_topic_score_gemma":0.013683111,"teacher_disagreement_score":0.018407088,"about_ca_system_score_codex":0.009426774,"about_ca_system_score_gemma":0.010535715,"threshold_uncertainty_score":0.09734714},"labels":[],"label_agreement":null},{"id":"W3026079137","doi":"10.1177/0272989x20911870","title":"20th Anniversary Ottawa Decision Support Framework: Part 3 Overview of Systematic Reviews and Updated Framework","year":2020,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":380,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke; Western University; Ottawa Hospital; Université Laval; University of Ottawa","funders":"","keywords":"Psychological intervention; Decision aids; Decision quality; Decision support system; Quality (philosophy); Systematic review; Clinical decision support system; Information needs; Scale (ratio); Psychology; MEDLINE; Medicine; Applied psychology; Computer science; Nursing; Patient satisfaction; Alternative medicine; Data mining; Political science","score_opus":0.37610958092090724,"score_gpt":0.4976828657435156,"score_spread":0.12157328482260837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026079137","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002902104,0.9369426,0.006096609,0.020733962,0.008964952,0.009519844,0.011764634,0.00046305708,0.0052241385],"genre_scores_gemma":[0.008045398,0.8381807,0.07116274,0.02220831,0.0029524574,0.03937802,0.013565402,0.00024580158,0.0042612115],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.8525547,0.04100106,0.06791673,0.0077531454,0.026051087,0.004723328],"domain_scores_gemma":[0.82891786,0.07095247,0.036698207,0.0046297074,0.054254647,0.0045471564],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.11385875,0.0062735667,0.016970364,0.07494864,0.0033360159,0.015236926,0.013289424,0.010368294,0.020167762],"category_scores_gemma":[0.20861533,0.005528402,0.022549491,0.03431969,0.004684092,0.0140400035,0.013387526,0.0075612795,0.0047196257],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042243543,0.000035730987,0.0007879327,0.7028443,0.0038360634,0.00018465087,0.00075962645,0.001268786,0.0002499701,0.0140213305,0.12665057,0.14893861],"study_design_scores_gemma":[0.00034878758,0.0001486807,0.0015591481,0.74566406,0.007334639,0.00028384206,0.00025713004,0.00044327535,0.00016720414,0.007846748,0.23575328,0.00019319296],"about_ca_topic_score_codex":0.080554835,"about_ca_topic_score_gemma":0.102927946,"teacher_disagreement_score":0.88614124,"about_ca_system_score_codex":0.05650381,"about_ca_system_score_gemma":0.12741575,"threshold_uncertainty_score":0.60214984},"labels":[],"label_agreement":null},{"id":"W3026084796","doi":"10.1177/0272989x20904955","title":"What Helps People Make Values-Congruent Medical Decisions? Eleven Strategies Tested across 6 Studies","year":2020,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Psychology; Congruence (geometry); Harm; Decision quality; Outcome (game theory); Quality (philosophy); Social psychology; Actuarial science; Medicine; Patient satisfaction; Mathematics; Economics","score_opus":0.3472612559997576,"score_gpt":0.5336396425117766,"score_spread":0.18637838651201905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026084796","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9279725,0.016436636,0.025108214,0.0029236102,0.00023898404,0.013406752,0.0004735564,0.00017478329,0.013264984],"genre_scores_gemma":[0.9092117,0.0044867126,0.06846158,0.0013533169,0.00005820907,0.01548281,0.00026482498,0.000035301913,0.00064553134],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9299284,0.048517004,0.011954444,0.0036776431,0.005035688,0.00088694185],"domain_scores_gemma":[0.5766704,0.37453216,0.028396465,0.007733842,0.010492748,0.0021743653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09274012,0.0011372253,0.001435606,0.0024916218,0.0016297726,0.0041353307,0.0014790869,0.0024425976,0.004552203],"category_scores_gemma":[0.25324646,0.00091266236,0.002608218,0.0017069913,0.0021493777,0.0051155537,0.0038347598,0.001823263,0.00042411374],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.013810379,0.006836622,0.111111455,0.039470553,0.0071400707,0.00039499145,0.05566738,0.00319349,0.0028457295,0.008875421,0.0024162058,0.7482378],"study_design_scores_gemma":[0.035823304,0.06851839,0.33276498,0.10994629,0.053417165,0.002174087,0.08575047,0.039281864,0.03653388,0.09307669,0.1410442,0.0016686721],"about_ca_topic_score_codex":0.0005909227,"about_ca_topic_score_gemma":0.0011803533,"teacher_disagreement_score":0.09274012,"about_ca_system_score_codex":0.0022368513,"about_ca_system_score_gemma":0.0036663292,"threshold_uncertainty_score":0.49046248},"labels":[],"label_agreement":null},{"id":"W3028037905","doi":"10.1177/0272989x20915452","title":"The Theoretical Relationship between Sample Size and Expected Predictive Precision for EQ-5D Valuation Studies: A Mathematical Exploration and Simulation Study","year":2020,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Centre for Applied Research in Cancer Control; Public Health Ontario; University of Toronto; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre","funders":"","keywords":"Homoscedasticity; Sample size determination; Heteroscedasticity; Ordinary least squares; Mathematics; Mean squared error; Statistics; Valuation (finance); Econometrics; Economics","score_opus":0.6966471250686277,"score_gpt":0.519689248180606,"score_spread":0.17695787688802167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3028037905","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03240554,0.0043052644,0.94938076,0.006117098,0.00021272185,0.0006098659,0.00021690334,0.00018881803,0.0065629287],"genre_scores_gemma":[0.6833707,0.0037192432,0.30544576,0.0021971606,0.0003231037,0.002933523,0.00027954453,0.00014691244,0.0015840358],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9375234,0.05252373,0.001491891,0.0030816845,0.004603809,0.00077545387],"domain_scores_gemma":[0.31968626,0.6553356,0.009316807,0.008399112,0.0065148887,0.00074729155],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.13420737,0.0014415714,0.0022373716,0.002505474,0.0009681322,0.0031540482,0.0034961514,0.0035445155,0.0038637195],"category_scores_gemma":[0.5328094,0.0010692914,0.0024294101,0.0022233902,0.0058057266,0.0072835316,0.003936024,0.00543164,0.00043094615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008808141,0.0002508658,0.03130221,0.0012502852,0.0007080055,0.0007405653,0.00096273696,0.39790335,0.0012399089,0.46751732,0.004166165,0.09307782],"study_design_scores_gemma":[0.00032674812,0.00054690323,0.0053324704,0.00094481,0.0002880582,0.00077246,0.00020478577,0.7242636,0.0012222204,0.26285508,0.0031358006,0.00010705839],"about_ca_topic_score_codex":0.0034050855,"about_ca_topic_score_gemma":0.0016425704,"teacher_disagreement_score":0.86579263,"about_ca_system_score_codex":0.004001804,"about_ca_system_score_gemma":0.0030968925,"threshold_uncertainty_score":0.7097649},"labels":[],"label_agreement":null},{"id":"W3032948830","doi":"10.1177/0272989x20925368","title":"Decision Regret among Informal Caregivers Making Housing Decisions for Older Adults with Cognitive Impairment: A Cross-sectional Analysis","year":2020,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Regret; Psychology; Preference; Gerontology; Cognition; Cross-sectional study; Multilevel model; Medicine; Psychiatry","score_opus":0.036090157266998275,"score_gpt":0.4036313623881015,"score_spread":0.3675412051211032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3032948830","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99905926,0.0003212769,0.0001213218,0.000048393787,0.0000066312105,0.00007021527,0.00022632157,0.0000010983667,0.00014541285],"genre_scores_gemma":[0.99898523,0.00018067076,0.00022140087,0.00006548356,0.000011907076,0.00013054916,0.00032910323,8.871583e-7,0.00007462078],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99711263,0.0013490744,0.00053845026,0.0003537735,0.00039446077,0.0002515726],"domain_scores_gemma":[0.9866723,0.004705706,0.006359393,0.00050952804,0.0010090925,0.0007440033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060917474,0.00034316455,0.00073806726,0.00086849683,0.00066632754,0.00079207966,0.00048419373,0.00060828833,0.0015797828],"category_scores_gemma":[0.016692778,0.0003653019,0.0013811752,0.0007868426,0.00038259596,0.0007679134,0.00077153946,0.0009820617,0.0001259005],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045383623,0.00043959092,0.9942861,0.00013829091,0.0003471337,0.00004831034,0.0006713677,0.00009388284,0.000030564257,0.000038761405,0.00021339583,0.0032388761],"study_design_scores_gemma":[0.00008176327,0.0007857907,0.9963045,0.00010516029,0.0001936955,0.00013839414,0.0012154666,0.000677038,0.000042641183,0.00008554959,0.00035453588,0.000015545367],"about_ca_topic_score_codex":0.0042332294,"about_ca_topic_score_gemma":0.005595505,"teacher_disagreement_score":0.0060917474,"about_ca_system_score_codex":0.00062454137,"about_ca_system_score_gemma":0.00073034776,"threshold_uncertainty_score":0.03221661},"labels":[],"label_agreement":null},{"id":"W3033258331","doi":"10.1177/0272989x20924019","title":"Using Both Time Tradeoff and Discrete Choice Experiments in Valuing the EQ-5D: Impact of Model Misspecification on Value Sets","year":2020,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; Public Health Ontario; SickKids Foundation; University of Toronto; McMaster University; Institute for Clinical Evaluative Sciences; Impact","funders":"EuroQol Research Foundation","keywords":"Homoscedasticity; Heteroscedasticity; Econometrics; Tobit model; Mathematics; Valuation (finance); Linear model; Statistics; Computer science; Economics; Accounting","score_opus":0.6346022759749333,"score_gpt":0.5158828980732656,"score_spread":0.11871937790166776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033258331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74430984,0.0011762099,0.24089083,0.0023121387,0.00030538515,0.0020562392,0.0014093099,0.00016463982,0.007375282],"genre_scores_gemma":[0.9160823,0.00025362172,0.07865824,0.0005404153,0.00004397058,0.0032435604,0.0005108814,0.00003281998,0.000634116],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.85422784,0.12956087,0.0036826697,0.0047321427,0.0068183667,0.0009781229],"domain_scores_gemma":[0.41434252,0.53670055,0.024200825,0.01875377,0.0049751583,0.0010272014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.14647253,0.0013658721,0.0013587582,0.0010862486,0.00084529613,0.0036625357,0.002482305,0.0027013766,0.0041796095],"category_scores_gemma":[0.3481925,0.0009827866,0.0034355004,0.002020224,0.0036627704,0.004447385,0.0029575583,0.0043220855,0.00039271038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.016367024,0.003365707,0.19047342,0.0015867506,0.0041902787,0.00051242235,0.0029700876,0.520387,0.0020166386,0.12768038,0.0030066601,0.12744364],"study_design_scores_gemma":[0.0026254305,0.0117229605,0.051651128,0.0011868377,0.001342898,0.00045479197,0.0008836756,0.80142665,0.007620213,0.11012077,0.010343834,0.00062084815],"about_ca_topic_score_codex":0.003854891,"about_ca_topic_score_gemma":0.0025588146,"teacher_disagreement_score":0.14647253,"about_ca_system_score_codex":0.00410387,"about_ca_system_score_gemma":0.0026004321,"threshold_uncertainty_score":0.77463},"labels":[],"label_agreement":null},{"id":"W3033624969","doi":"10.1177/0272989x20924645","title":"20th Anniversary Update of the Ottawa Decision Support Framework: Part 2 Subanalysis of a Systematic Review of Patient Decision Aids","year":2020,"lang":"en","type":"review","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"University of Ottawa","keywords":"Medicine; Decision aids; Confidence interval; Relative risk; Clinical trial; Randomized controlled trial; MEDLINE; Health care; Meta-analysis; Physical therapy; Alternative medicine; Internal medicine","score_opus":0.16002458941674766,"score_gpt":0.47306795577202454,"score_spread":0.31304336635527685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033624969","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006997182,0.9579515,0.0016660262,0.012046558,0.00973922,0.0042959265,0.011160322,0.00020440854,0.0022361598],"genre_scores_gemma":[0.020199144,0.8757904,0.019978007,0.02456535,0.005601835,0.0283056,0.020627132,0.0003830398,0.0045495024],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.88055325,0.03747672,0.046830483,0.004159946,0.02831083,0.0026687447],"domain_scores_gemma":[0.8045367,0.07359306,0.05175391,0.0067100776,0.05963466,0.003771589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.10738757,0.003990699,0.014232131,0.045173936,0.0018242456,0.009458659,0.0061584297,0.0048968913,0.015170358],"category_scores_gemma":[0.2542664,0.0035871253,0.018716237,0.018520776,0.002490732,0.008659154,0.008703346,0.0044770553,0.0023112185],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020677317,0.000051568317,0.0015577149,0.6348811,0.019791134,0.00011010362,0.000550677,0.00058276596,0.00049186306,0.0028605836,0.17480883,0.16224594],"study_design_scores_gemma":[0.0017653306,0.0005335946,0.0087029785,0.6921457,0.049878523,0.00033098418,0.0002688825,0.0003822225,0.0003304893,0.003967447,0.24136591,0.00032796932],"about_ca_topic_score_codex":0.045335054,"about_ca_topic_score_gemma":0.09229033,"teacher_disagreement_score":0.10738757,"about_ca_system_score_codex":0.027937325,"about_ca_system_score_gemma":0.053910464,"threshold_uncertainty_score":0.5679265},"labels":[],"label_agreement":null},{"id":"W3038915840","doi":"10.1177/0272989x20937257","title":"A Systematic Review of Methods Used for Confounding Adjustment in Observational Economic Evaluations in Cardiology Conducted between 2013 and 2017","year":2020,"lang":"en","type":"review","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Joseph’s Healthcare Hamilton; Programs for Assessment of Technology in Health Research Institute; McMaster University; Centre Hospitalier de l’Université de Montréal; Impact; McGill University; Université de Montréal; Université Laval","funders":"Canadian Institutes of Health Research","keywords":"Observational study; Confounding; Propensity score matching; Medicine; Systematic review; Cochrane Library; MEDLINE; Matching (statistics); Randomized controlled trial; Internal medicine; Pathology","score_opus":0.7375894583404606,"score_gpt":0.6331474688234388,"score_spread":0.10444198951702188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3038915840","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010723682,0.9875914,0.002762669,0.0007804287,0.00037718556,0.0051152026,0.0016256404,0.000039703387,0.0006354066],"genre_scores_gemma":[0.02316749,0.93908405,0.013985898,0.0015262059,0.00020524,0.020220444,0.0014599146,0.00005640511,0.00029432515],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.7935568,0.09614487,0.08201552,0.0071890624,0.019791538,0.001302195],"domain_scores_gemma":[0.65329564,0.27205455,0.046079304,0.006165589,0.021502646,0.000902248],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.11206878,0.0036876092,0.014358777,0.033459358,0.0021339902,0.0067428397,0.0039235875,0.003603983,0.007211727],"category_scores_gemma":[0.3731141,0.0026099489,0.018821282,0.029839054,0.0027286627,0.0064030476,0.004583725,0.0027661854,0.00078859646],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019822348,0.000010491042,0.00073216134,0.9548967,0.009692404,0.000059538594,0.0002916963,0.00011084021,0.000077432895,0.00047387026,0.0012434474,0.032213125],"study_design_scores_gemma":[0.0003038863,0.000090802685,0.0018003829,0.93716186,0.047663447,0.00014888961,0.00022189482,0.00012711712,0.00016343407,0.0007050837,0.0115592275,0.000053988617],"about_ca_topic_score_codex":0.010363442,"about_ca_topic_score_gemma":0.028446812,"teacher_disagreement_score":0.8879312,"about_ca_system_score_codex":0.013088722,"about_ca_system_score_gemma":0.03440976,"threshold_uncertainty_score":0.59268343},"labels":[],"label_agreement":null},{"id":"W3042390659","doi":"10.1177/0272989x20936209","title":"20th Anniversary Update of the Ottawa Decision Support Framework Part 1: A Systematic Review of the Decisional Needs of People Making Health or Social Decisions","year":2020,"lang":"en","type":"review","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":154,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ottawa Hospital; Western University; University of Ottawa","funders":"","keywords":"Inclusion (mineral); Psychology; Information needs; Decision quality; Decision aids; Systematic review; Quality (philosophy); Needs assessment; Applied psychology; Social psychology; MEDLINE; Medicine; Nursing; Alternative medicine; Patient satisfaction; Computer science; Sociology","score_opus":0.22945663983648734,"score_gpt":0.499710372327355,"score_spread":0.27025373249086765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042390659","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00034862384,0.96983373,0.00090100715,0.013804722,0.009210629,0.0017962082,0.0027620532,0.00008092783,0.0012622166],"genre_scores_gemma":[0.0049913265,0.95559734,0.010005527,0.013434056,0.002440644,0.0077619515,0.0036603794,0.000084893414,0.0020238725],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.92375934,0.02192304,0.032766595,0.0028952586,0.016231105,0.002424516],"domain_scores_gemma":[0.87811416,0.050304975,0.028243182,0.0030685193,0.036628604,0.0036405493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.094008476,0.0038857737,0.013544223,0.048318326,0.0022997863,0.010544762,0.0069625257,0.0070785,0.008091246],"category_scores_gemma":[0.16266401,0.0036704384,0.0126021085,0.019968567,0.0036993288,0.012746665,0.009979715,0.0058598053,0.001845937],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047125775,0.0000394231,0.0008504178,0.67017424,0.0033993004,0.00014528385,0.0010593315,0.00048152276,0.00044225165,0.0046997666,0.14588664,0.17235059],"study_design_scores_gemma":[0.00025766116,0.00014081164,0.0021478808,0.79386777,0.007373367,0.0002447076,0.00035281657,0.00013894026,0.000119938806,0.0023630252,0.19283856,0.00015457525],"about_ca_topic_score_codex":0.057141893,"about_ca_topic_score_gemma":0.11347496,"teacher_disagreement_score":0.094008476,"about_ca_system_score_codex":0.037290633,"about_ca_system_score_gemma":0.09656655,"threshold_uncertainty_score":0.49717027},"labels":[],"label_agreement":null},{"id":"W3043284836","doi":"10.1177/0272989x20938056","title":"The Effect of Information Formats and Incidental Affect on Prior and Posterior Probability Judgments","year":2020,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; St. Michael's Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science; Canada Research Chairs","keywords":"Computer science; Bayesian probability; Test (biology); Table (database); Bayesian inference; Task (project management); Posterior probability; Inference; Probabilistic logic; Psychology; Artificial intelligence; Machine learning; Natural language processing; Information retrieval; Statistics; Data mining; Mathematics","score_opus":0.04839277711880483,"score_gpt":0.37641689393958977,"score_spread":0.3280241168207849,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043284836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946708,0.00013865813,0.0016778994,0.000067643305,0.000057521567,0.000121226476,0.000059962833,0.000042104875,0.0031642101],"genre_scores_gemma":[0.99689305,0.00009142421,0.0022672175,0.00009688413,0.00004854411,0.00010311166,0.00006116854,0.000027502041,0.00041104972],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964474,0.0014680604,0.00030535774,0.00068695605,0.0009515209,0.0001407599],"domain_scores_gemma":[0.8985251,0.08573932,0.008182856,0.0041018305,0.0016565378,0.0017943732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042651654,0.00054066186,0.00036467574,0.00035425578,0.00048306058,0.0019553683,0.00038788526,0.0005720619,0.0047032647],"category_scores_gemma":[0.06740923,0.00043714017,0.00031226195,0.00020287027,0.0011878217,0.001158276,0.0010240264,0.0008445374,0.0003219079],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.04455607,0.0074358624,0.37953854,0.0015341879,0.00062863406,0.0015189729,0.028419485,0.003775425,0.29460406,0.0023821208,0.002083197,0.23352343],"study_design_scores_gemma":[0.0007114186,0.008750268,0.96477026,0.0001397585,0.000318099,0.00076031225,0.001684874,0.0037110096,0.013974397,0.0035008802,0.0015408199,0.00013793846],"about_ca_topic_score_codex":0.0005494082,"about_ca_topic_score_gemma":0.00059527997,"teacher_disagreement_score":0.0047032647,"about_ca_system_score_codex":0.00037891197,"about_ca_system_score_gemma":0.0002634,"threshold_uncertainty_score":0.022556603},"labels":[],"label_agreement":null},{"id":"W3043915800","doi":"10.1177/0272989x20940673","title":"Implausible States: Prevalence of EQ-5D-5L States in the General Population and Its Effect on Health State Valuation","year":2020,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Valuation (finance); Population; EQ-5D; Medicine; Actuarial science; Econometrics; Mathematics; Economics; Disease; Environmental health; Accounting","score_opus":0.3310405290731772,"score_gpt":0.46515360280704693,"score_spread":0.13411307373386971,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043915800","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.960182,0.0015341167,0.030501176,0.0015477482,0.00016733943,0.000812403,0.0017757446,0.000056147772,0.003423208],"genre_scores_gemma":[0.98858637,0.0002241837,0.009075788,0.00036756328,0.000037585425,0.00079565425,0.0006187078,0.000012822344,0.00028124647],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.808595,0.16142528,0.006739518,0.0131432405,0.0081593795,0.001937556],"domain_scores_gemma":[0.35337016,0.5925818,0.027351763,0.022579573,0.0029047846,0.0012119757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1356643,0.0009870549,0.0015590851,0.0014195269,0.0009670463,0.0031373969,0.001973964,0.0024610886,0.006962276],"category_scores_gemma":[0.35127527,0.0007321094,0.0050655445,0.0018673108,0.0061178585,0.0042612017,0.0049222936,0.005134934,0.00037097975],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.024509842,0.004332511,0.8176398,0.0026050175,0.007589493,0.00038521056,0.008763565,0.012475694,0.0023038879,0.028195713,0.0021658696,0.08903338],"study_design_scores_gemma":[0.0020954057,0.021186713,0.8350787,0.002264203,0.0064858627,0.00074586633,0.0052234964,0.048924904,0.0060751494,0.06500055,0.0064521623,0.00046693106],"about_ca_topic_score_codex":0.0022846328,"about_ca_topic_score_gemma":0.001230867,"teacher_disagreement_score":0.1356643,"about_ca_system_score_codex":0.0014864567,"about_ca_system_score_gemma":0.0010713045,"threshold_uncertainty_score":0.71746993},"labels":[],"label_agreement":null},{"id":"W3043995085","doi":"10.1177/0272989x20940999","title":"Use of Enhanced Data Visualization to Improve Patient Judgments about Hypertension Control","year":2020,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sinai Health System; University of Toronto","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Agency for Healthcare Research and Quality","keywords":"Smoothing; Visualization; Blood pressure; Data visualization; Medicine; Computer science; Data mining; Internal medicine; Computer vision","score_opus":0.10625747278756788,"score_gpt":0.35268532183207907,"score_spread":0.2464278490445112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043995085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9482353,0.0066688303,0.03181897,0.0038122586,0.00028965756,0.000506984,0.00084602163,0.0017688886,0.0060531874],"genre_scores_gemma":[0.9257564,0.0017067997,0.0709318,0.00042607513,0.000156242,0.00023476609,0.00024910033,0.00005561404,0.000483303],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99573356,0.0031127548,0.00029974748,0.00027057494,0.00048691424,0.00009649764],"domain_scores_gemma":[0.9410299,0.04870721,0.0048935628,0.0018667277,0.0025894758,0.00091304065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007022587,0.00078329846,0.00050109834,0.0013191088,0.0003173493,0.0019832624,0.0007423384,0.0007041546,0.005841691],"category_scores_gemma":[0.060619123,0.00034746373,0.0009182132,0.0006725493,0.00026851817,0.0017028449,0.0010684538,0.0006905895,0.00029022119],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0074999086,0.002098834,0.096655086,0.0063583646,0.0012268433,0.0008576817,0.014137147,0.004135916,0.01888908,0.001182809,0.014139061,0.8328192],"study_design_scores_gemma":[0.009289015,0.027762806,0.65405405,0.011182498,0.006748715,0.0072728544,0.02006487,0.079350404,0.068623796,0.019740786,0.09433616,0.0015740723],"about_ca_topic_score_codex":0.00055214774,"about_ca_topic_score_gemma":0.0011398536,"teacher_disagreement_score":0.007022587,"about_ca_system_score_codex":0.00037230694,"about_ca_system_score_gemma":0.0005001611,"threshold_uncertainty_score":0.037139475},"labels":[],"label_agreement":null},{"id":"W3044981225","doi":"10.1177/0272989x20940660","title":"What Matters to Patients and Families: A Content and Process Framework for Clarifying Preferences, Concerns, and Values","year":2020,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Jewish General Hospital; Université Laval","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Psychology; Content analysis; Sociocultural evolution; Social psychology; Medicine; Sociology","score_opus":0.3791259558971669,"score_gpt":0.49493426248568184,"score_spread":0.11580830658851493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3044981225","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3125354,0.0062125153,0.4642079,0.11294907,0.0007404234,0.01321708,0.0018328049,0.00042889296,0.08787596],"genre_scores_gemma":[0.61812496,0.001303191,0.3694841,0.002275451,0.00007587159,0.004480772,0.0006226394,0.0000868559,0.0035461378],"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.91500354,0.07332374,0.0028954428,0.002447351,0.004045739,0.0022841624],"domain_scores_gemma":[0.89266443,0.0766193,0.0073696626,0.004083424,0.015324858,0.003938268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08130555,0.001548635,0.0009966908,0.012255179,0.018616617,0.013219121,0.0042782268,0.004579119,0.0023958303],"category_scores_gemma":[0.06060609,0.00086235465,0.0013044389,0.0073592914,0.033253517,0.013357536,0.008006952,0.0049760495,0.0005054966],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006342666,0.00008190465,0.00698939,0.0006567897,0.000025075407,0.0007502083,0.8605223,0.0007735774,0.0010069262,0.09195824,0.0037738767,0.03339826],"study_design_scores_gemma":[0.00006848744,0.00009573343,0.008838713,0.003387072,0.000068129084,0.0007306602,0.7343989,0.005035583,0.0012295914,0.13515715,0.11083883,0.00015129622],"about_ca_topic_score_codex":0.12747644,"about_ca_topic_score_gemma":0.15153068,"teacher_disagreement_score":0.12747644,"about_ca_system_score_codex":0.06558853,"about_ca_system_score_gemma":0.07431343,"threshold_uncertainty_score":0.47588027},"labels":[],"label_agreement":null},{"id":"W3047388302","doi":"10.1177/0272989x20945308","title":"Dissemination Science to Advance the Use of Simulation Modeling: Our Obligation Moving Forward","year":2020,"lang":"en","type":"editorial","venue":"Medical Decision Making","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"AIDS Vancouver; Simon Fraser University","funders":"National Institute on Drug Abuse","keywords":"Obligation; Computer science; Management science; Political science; Economics; Law","score_opus":0.45949069402512926,"score_gpt":0.6851882684662697,"score_spread":0.22569757444114041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047388302","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000010686361,0.007987485,0.00047599047,0.09164074,0.89915496,0.000021225913,0.000032751603,0.000052616415,0.00062353414],"genre_scores_gemma":[0.00033038977,0.006654365,0.0006821049,0.040124625,0.9495022,0.000043444015,0.000023493845,0.00006286529,0.0025764215],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9312731,0.026625274,0.008777767,0.0034056508,0.028494194,0.0014240312],"domain_scores_gemma":[0.46362063,0.3835635,0.012000399,0.011406882,0.112243645,0.017164925],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.08805769,0.004861958,0.008611794,0.00843855,0.005819336,0.0261004,0.009834053,0.056501765,0.016179636],"category_scores_gemma":[0.2932813,0.0023756577,0.006582088,0.0046522096,0.010504955,0.013620707,0.0043106563,0.05851955,0.010088715],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033637298,0.000025467982,0.000019042864,0.00081663067,0.000058813497,0.000036296788,0.000050167535,0.00006405997,0.000022491431,0.0022930466,0.98808795,0.008492251],"study_design_scores_gemma":[0.00017974802,0.00003639033,0.00013060223,0.0035841484,0.0001614421,0.00009763443,0.00016269341,0.0007149705,0.00008564498,0.01972753,0.9750474,0.00007168481],"about_ca_topic_score_codex":0.0052097067,"about_ca_topic_score_gemma":0.009420494,"teacher_disagreement_score":0.9119423,"about_ca_system_score_codex":0.008141681,"about_ca_system_score_gemma":0.022853293,"threshold_uncertainty_score":0.46569914},"labels":[],"label_agreement":null},{"id":"W3080367820","doi":"10.1177/0272989x20944875","title":"Optimal Allocation of Research Funds under a Budget Constraint","year":2020,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Budget constraint; Sample (material); Portfolio; Stylized fact; Population; Constraint (computer-aided design); Investment (military); Computer science; Sample size determination; Point (geometry); Economics; Microeconomics; Actuarial science; Finance; Statistics","score_opus":0.5850875478991512,"score_gpt":0.5434805942254187,"score_spread":0.04160695367373246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3080367820","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.088548906,0.010678404,0.8211353,0.012986194,0.0005335186,0.008391445,0.0026694506,0.0007631936,0.054293573],"genre_scores_gemma":[0.6435769,0.0038638276,0.33402425,0.0020229018,0.00022965073,0.007614836,0.00094373577,0.00019224688,0.0075316555],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.974256,0.020169,0.0010911225,0.0014360246,0.0015221593,0.0015256938],"domain_scores_gemma":[0.9594505,0.030470835,0.0034489455,0.0014621501,0.0032306819,0.001936869],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.029133614,0.002344012,0.0026789885,0.0030322513,0.00069146475,0.0040277257,0.0024241968,0.0035035585,0.010325112],"category_scores_gemma":[0.09034839,0.0016200606,0.0015360503,0.002623872,0.0014315111,0.0047935406,0.0025789668,0.0028404265,0.0014570575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033499668,0.00072454807,0.004602189,0.0023709578,0.00079910515,0.00043152497,0.0005782438,0.4698757,0.0032478159,0.19810766,0.013625222,0.30228704],"study_design_scores_gemma":[0.0038715417,0.0029709614,0.015311525,0.0034002424,0.0016405681,0.0009769251,0.0011625573,0.5205761,0.0050238282,0.38505518,0.059723027,0.00028754657],"about_ca_topic_score_codex":0.0034737017,"about_ca_topic_score_gemma":0.0015429271,"teacher_disagreement_score":0.9708664,"about_ca_system_score_codex":0.0036315585,"about_ca_system_score_gemma":0.008369108,"threshold_uncertainty_score":0.15407515},"labels":[],"label_agreement":null},{"id":"W3089680180","doi":"10.1177/0272989x20951782","title":"A Scoring Algorithm for Deriving Utility Values from the Neuro-QoL for Patients with Multiple Sclerosis","year":2020,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Biogen","keywords":"Population; Quality of life (healthcare); Item response theory; Construct validity; Multiple sclerosis; Medicine; Psychometrics; Clinical psychology; Psychiatry","score_opus":0.39054031836612574,"score_gpt":0.4051338473780875,"score_spread":0.014593529011961759,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089680180","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03288631,0.00021892154,0.95842826,0.00043561007,0.000059902355,0.0014187923,0.0008966278,0.0007435872,0.004911974],"genre_scores_gemma":[0.11343598,0.00011949632,0.8824815,0.00007020453,0.000020543122,0.002302786,0.00071285816,0.00006741255,0.00078923063],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99200296,0.0046625603,0.0010425056,0.0006251983,0.0014631734,0.00020355216],"domain_scores_gemma":[0.989251,0.005794872,0.00091625785,0.0005141466,0.0034032946,0.00012040656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010587418,0.0010746276,0.00071288715,0.0035543765,0.00071814336,0.0019489301,0.0013534287,0.0008379738,0.007560786],"category_scores_gemma":[0.038352236,0.00036741595,0.0011852025,0.002895565,0.0005396051,0.0013105908,0.0017388676,0.0010935215,0.002050967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003372748,0.00023116347,0.039741386,0.00037636454,0.00020128163,0.00020011257,0.00093260355,0.033948906,0.0025360468,0.023536518,0.013129024,0.88482934],"study_design_scores_gemma":[0.00047419648,0.00093887106,0.051818788,0.00065022625,0.00021345356,0.0017610476,0.0015075281,0.8311595,0.0061226,0.07433047,0.030745506,0.00027782915],"about_ca_topic_score_codex":0.0025179281,"about_ca_topic_score_gemma":0.0018569432,"teacher_disagreement_score":0.010587418,"about_ca_system_score_codex":0.0012994907,"about_ca_system_score_gemma":0.0016974936,"threshold_uncertainty_score":0.055992305},"labels":[],"label_agreement":null},{"id":"W3089914228","doi":"10.1177/0272989x20951778","title":"Incorporating Mortality in Health Utility Measures","year":2020,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Riksbankens Jubileumsfond","keywords":"Expected utility hypothesis; Corollary; Quality-adjusted life year; Outcome (game theory); Subjective expected utility; Quality (philosophy); Function (biology); Scale (ratio); State space; Health Utilities Index; Index (typography); State (computer science); Computer science; Actuarial science; Medicine; Econometrics; Risk analysis (engineering); Mathematics; Statistics; Mathematical economics; Economics; Health related quality of life; Geography","score_opus":0.5748531287029683,"score_gpt":0.5067643710572967,"score_spread":0.06808875764567168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089914228","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04465885,0.009576886,0.9269296,0.0036386384,0.00046328176,0.00066229975,0.0014670155,0.0002778804,0.012325525],"genre_scores_gemma":[0.7609505,0.0044306293,0.22779316,0.0008793888,0.00038380612,0.0010566073,0.0008689042,0.00010158547,0.003535397],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9767601,0.018785536,0.0010283277,0.0009514841,0.00196485,0.0005096673],"domain_scores_gemma":[0.9677352,0.026507357,0.0018993807,0.0015377776,0.0019637852,0.00035659],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.027220398,0.0014368,0.0015158296,0.0041396096,0.0005243179,0.0046978816,0.0016522541,0.0016277729,0.003501044],"category_scores_gemma":[0.09919233,0.0006973041,0.0022048778,0.004891525,0.0012617188,0.005236618,0.0030451529,0.0037315518,0.0005341618],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042456333,0.0003647132,0.03822314,0.0012464974,0.0012211959,0.000328346,0.0011550143,0.24204375,0.00046650512,0.35229358,0.005683711,0.35654902],"study_design_scores_gemma":[0.0001003439,0.00086237333,0.016721413,0.0012466545,0.0006517691,0.00040727938,0.00047029543,0.42893645,0.0009317807,0.5173885,0.032062292,0.0002207729],"about_ca_topic_score_codex":0.0028135222,"about_ca_topic_score_gemma":0.0022093179,"teacher_disagreement_score":0.027220398,"about_ca_system_score_codex":0.0021769954,"about_ca_system_score_gemma":0.0016596603,"threshold_uncertainty_score":0.14395696},"labels":[],"label_agreement":null},{"id":"W3093581638","doi":"10.1177/0272989x20963038","title":"Extent and Predictors of Decision Regret among Informal Caregivers Making Decisions for a Loved One: A Systematic Review","year":2020,"lang":"en","type":"review","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Canadian Apheresis Group","funders":"","keywords":"Regret; Decision quality; Decision aids; Psychology; Odds ratio; Quality of life (healthcare); MEDLINE; Odds; Applied psychology; Medicine; Nursing; Patient satisfaction; Computer science; Alternative medicine; Logistic regression","score_opus":0.2425309727595998,"score_gpt":0.4814729607629243,"score_spread":0.23894198800332447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093581638","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033021418,0.9952809,0.00019485944,0.00025427094,0.000055566088,0.00036462804,0.00031199027,0.000004908825,0.00023077718],"genre_scores_gemma":[0.053980585,0.94256747,0.0011148764,0.0005573924,0.000097874465,0.0012356354,0.00033637852,0.0000057097204,0.000104126426],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9861799,0.0055346033,0.0047970563,0.00093734387,0.0022220628,0.00032897777],"domain_scores_gemma":[0.8872964,0.090209916,0.016583761,0.0009494859,0.004352301,0.0006081562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014856473,0.0013050733,0.0069061695,0.009575647,0.00077231956,0.0032100712,0.0016600476,0.0016887207,0.0030716383],"category_scores_gemma":[0.09231729,0.0010066086,0.0073904768,0.008980526,0.0010122692,0.0027870252,0.0016149145,0.001358751,0.00017337082],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024974675,0.00003372842,0.004801622,0.94088703,0.01225185,0.00011744957,0.0005456633,0.00009827102,0.00005346027,0.00031494236,0.0007798638,0.03986635],"study_design_scores_gemma":[0.00016397139,0.0001671109,0.010620611,0.9201938,0.05891724,0.00038263432,0.0006650729,0.000119814365,0.00010300304,0.00040669943,0.008210905,0.00004922253],"about_ca_topic_score_codex":0.006451194,"about_ca_topic_score_gemma":0.018439604,"teacher_disagreement_score":0.014856473,"about_ca_system_score_codex":0.003979177,"about_ca_system_score_gemma":0.01281877,"threshold_uncertainty_score":0.07856947},"labels":[],"label_agreement":null},{"id":"W3094530411","doi":"10.1177/0272989x20954391","title":"Implementing Interventions with Varying Marginal Cost-Effectiveness: An Application in Precision Medicine","year":2020,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Wellcome Trust","keywords":"Precision medicine; Marginal cost; Computer science; Cost–benefit analysis; Quality-adjusted life year; Cost effectiveness; Medicine; Risk analysis (engineering); Economics","score_opus":0.44742690829855647,"score_gpt":0.5261188130482587,"score_spread":0.07869190474970222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094530411","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13039102,0.0107174795,0.7837275,0.014132273,0.0004154597,0.0023344941,0.00041257194,0.00040172035,0.057467453],"genre_scores_gemma":[0.81010264,0.0030932166,0.18314348,0.00073728,0.00009913966,0.0012852851,0.000034506895,0.000049582144,0.0014548945],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.97796667,0.018262768,0.00039727715,0.0010215564,0.0016204881,0.00073121756],"domain_scores_gemma":[0.8954718,0.09891665,0.0025288595,0.0016117714,0.0010580805,0.00041279526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018807346,0.0025044028,0.002390067,0.003000923,0.0012133318,0.004033146,0.0025169104,0.005588515,0.0073627336],"category_scores_gemma":[0.074652426,0.0012104638,0.004005938,0.003532625,0.005602686,0.0039270367,0.003482665,0.004183487,0.0002101488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005464023,0.00043980277,0.004791771,0.0018909243,0.0006235758,0.000674757,0.000681035,0.54982567,0.0009652316,0.34062105,0.0011832499,0.0977566],"study_design_scores_gemma":[0.0004363483,0.0015674246,0.004093271,0.0013015709,0.0007840047,0.00057758676,0.0007208033,0.6434896,0.0010762673,0.3390692,0.006691727,0.00019221034],"about_ca_topic_score_codex":0.010008253,"about_ca_topic_score_gemma":0.006278087,"teacher_disagreement_score":0.018807346,"about_ca_system_score_codex":0.011173827,"about_ca_system_score_gemma":0.005011012,"threshold_uncertainty_score":0.099464},"labels":[],"label_agreement":null},{"id":"W3105015934","doi":"10.1177/0272989x20961091","title":"Exploring the Cost Effectiveness of Shared Decision Making for Choosing between Disease-Modifying Drugs for Relapsing-Remitting Multiple Sclerosis in the Netherlands: A State Transition Model","year":2020,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Genentech","keywords":"Relapsing remitting; Multiple sclerosis; Disease; Medicine; State (computer science); Intensive care medicine; Psychology; Computer science; Psychiatry; Internal medicine","score_opus":0.3143077038812684,"score_gpt":0.4024328861154659,"score_spread":0.08812518223419752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3105015934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8920374,0.00290111,0.07742885,0.0032393155,0.0002268761,0.0013594038,0.00433666,0.000107782726,0.018362524],"genre_scores_gemma":[0.98281616,0.000770545,0.009385106,0.00019167582,0.00002642563,0.00091176043,0.0007602233,0.00001854892,0.005119617],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968658,0.0022874726,0.000078430305,0.00025912267,0.00010161316,0.00040752487],"domain_scores_gemma":[0.9741488,0.023612024,0.000907889,0.00021460486,0.00066658395,0.00045012162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008125873,0.0018845443,0.0029910596,0.0016068583,0.00063509226,0.0029988636,0.0027954052,0.0035621128,0.008596649],"category_scores_gemma":[0.02243803,0.0014244893,0.0037100895,0.0014205795,0.0012954923,0.0022180048,0.0018174872,0.0027472798,0.0003665242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007637358,0.0001520206,0.002300866,0.00012788764,0.00017274986,0.0001745841,0.000054971068,0.9888531,0.00006189978,0.004910951,0.00028852734,0.002138777],"study_design_scores_gemma":[0.0003259611,0.00028002044,0.00093386974,0.00005481135,0.0002363247,0.000032245385,0.00008834145,0.99386567,0.000058238307,0.003758988,0.00034010722,0.000025370859],"about_ca_topic_score_codex":0.076490365,"about_ca_topic_score_gemma":0.028134232,"teacher_disagreement_score":0.076490365,"about_ca_system_score_codex":0.007881583,"about_ca_system_score_gemma":0.0048990254,"threshold_uncertainty_score":0.15209031},"labels":[],"label_agreement":null},{"id":"W3112353248","doi":"10.1177/0272989x20978208","title":"What Works in Implementing Patient Decision Aids in Routine Clinical Settings? A Rapid Realist Review and Update from the International Patient Decision Aid Standards Collaboration","year":2020,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Mental Health and Patient Involvement","field":"Health Professions","cited_by":231,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; University of British Columbia; Ottawa Hospital; Western University","funders":"Cardiff University; Healthwise; Massachusetts General Hospital","keywords":"Decision aids; Medicine; Decision support system; Medical emergency; Management science; Computer science; Alternative medicine; Engineering; Data mining; Pathology","score_opus":0.13064345016930967,"score_gpt":0.49129230006873426,"score_spread":0.3606488498994246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112353248","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00058207003,0.9858198,0.0009443105,0.009202487,0.0011269215,0.0005099819,0.0001391774,0.000017527811,0.0016575955],"genre_scores_gemma":[0.009994033,0.97680646,0.0057763797,0.0052380897,0.00034374057,0.001426902,0.00020214684,0.000021656157,0.00019052267],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.8707458,0.07007411,0.032159925,0.004442592,0.020568483,0.0020090784],"domain_scores_gemma":[0.52253836,0.39311525,0.025783276,0.007051096,0.04884941,0.0026625597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1778429,0.0015662943,0.0050204066,0.028507581,0.001862884,0.012222603,0.006149057,0.0060700867,0.0025938076],"category_scores_gemma":[0.3245635,0.0019157442,0.006381415,0.021686612,0.004183636,0.012198694,0.006250656,0.006530127,0.0006404916],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013499049,0.000074398115,0.0009403741,0.5617976,0.001489083,0.00013788391,0.006076453,0.0003825586,0.00020049521,0.011602033,0.015666287,0.40149787],"study_design_scores_gemma":[0.00006600544,0.00012487681,0.001202607,0.8882971,0.0023521986,0.00013177222,0.0023473997,0.00012750589,0.00018350747,0.0018226113,0.10330177,0.000042626114],"about_ca_topic_score_codex":0.011502022,"about_ca_topic_score_gemma":0.030848077,"teacher_disagreement_score":0.1778429,"about_ca_system_score_codex":0.021963429,"about_ca_system_score_gemma":0.08727329,"threshold_uncertainty_score":0.9405344},"labels":[],"label_agreement":null},{"id":"W3112360353","doi":"10.1177/0272989x20979693","title":"Feasibility of Rapidly Developing and Widely Disseminating Patient Decision Aids to Respond to Urgent Decisional Needs due to the COVID-19 Pandemic","year":2020,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto; Centre intégré de santé et de services sociaux de Chaudière-Appalaches; Royal Ottawa Mental Health Centre; Ottawa Hospital; Champlain Regional College; University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Dissemination; Stakeholder; Decision aids; Pandemic; Information Dissemination; Needs assessment; Public relations; Residence; Business; Psychology; Coronavirus disease 2019 (COVID-19); Medicine; Medical education; Nursing; Political science; Computer science; Sociology; Alternative medicine; World Wide Web","score_opus":0.3316780828239632,"score_gpt":0.503798233724647,"score_spread":0.17212015090068383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112360353","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5007486,0.006256408,0.16966897,0.14677617,0.0030552219,0.10738228,0.006205184,0.0047473772,0.055159826],"genre_scores_gemma":[0.29981768,0.0019219094,0.66042876,0.0077362997,0.00022198378,0.025994848,0.0014097941,0.00029156142,0.0021770464],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.75860757,0.19625624,0.018476332,0.005143577,0.015240054,0.0062762606],"domain_scores_gemma":[0.5442493,0.3338839,0.013845498,0.031051662,0.061714556,0.015255064],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2985398,0.0013770702,0.0009819878,0.003381224,0.0024211013,0.009624735,0.0038856221,0.0031225039,0.0061373035],"category_scores_gemma":[0.36791527,0.0014298653,0.0020857558,0.0018241536,0.0020983308,0.006780096,0.010255971,0.0046881037,0.0021228844],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016887869,0.004895039,0.021610364,0.010150449,0.00036803304,0.00087087374,0.040462457,0.004289911,0.0057025016,0.0031661855,0.025410134,0.8813853],"study_design_scores_gemma":[0.009011642,0.026986385,0.0649722,0.043297566,0.0019696634,0.001214557,0.15711933,0.026416436,0.04060835,0.023433316,0.60331744,0.001653147],"about_ca_topic_score_codex":0.009412127,"about_ca_topic_score_gemma":0.025517747,"teacher_disagreement_score":0.2985398,"about_ca_system_score_codex":0.0072832415,"about_ca_system_score_gemma":0.049356367,"threshold_uncertainty_score":0.86502534},"labels":[],"label_agreement":null},{"id":"W3115341605","doi":"10.1177/0272989x20977885","title":"Observer Ratings of Shared Decision Making Do Not Match Patient Reports: An Observational Study in 5 Family Medicine Practices","year":2020,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Observational study; Observer (physics); Clinical Practice; Health professionals; Family medicine; Health care; Physical therapy; Internal medicine","score_opus":0.6461170982668331,"score_gpt":0.5565483977875814,"score_spread":0.0895687004792517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3115341605","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996613,0.00005676787,0.00009390561,0.000017045162,0.0000019537986,0.000037231624,0.000034145167,0.00000101475,0.00009665845],"genre_scores_gemma":[0.9994561,0.00004684637,0.00027166834,0.000043978973,0.000005593758,0.00006113841,0.00005732915,0.0000015719764,0.000055727447],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98840135,0.0065218275,0.0009931024,0.0012831326,0.0018077744,0.0009926974],"domain_scores_gemma":[0.9680886,0.0153904585,0.009124294,0.0018082142,0.0030217068,0.0025667488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008678283,0.00036554976,0.00072947034,0.0012735182,0.0020503202,0.0014316535,0.0007581157,0.0009303972,0.0011323807],"category_scores_gemma":[0.03365888,0.0007956685,0.0005925064,0.0013116647,0.0016034272,0.0011004364,0.0017843125,0.0011935243,0.00022863307],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021787391,0.0004909972,0.9753772,0.000043575117,0.000047615707,0.00018888837,0.020146864,0.000030511883,0.00019477472,0.000020877165,0.00010791231,0.0031328427],"study_design_scores_gemma":[0.00006316787,0.0017187216,0.97164434,0.00005497863,0.000049237336,0.00036515723,0.024722015,0.00042347272,0.00023280563,0.000041939737,0.00064298266,0.000041224874],"about_ca_topic_score_codex":0.026348177,"about_ca_topic_score_gemma":0.046841007,"teacher_disagreement_score":0.026348177,"about_ca_system_score_codex":0.0031528682,"about_ca_system_score_gemma":0.0029173791,"threshold_uncertainty_score":0.05238962},"labels":[],"label_agreement":null},{"id":"W3122845035","doi":"10.1177/0272989x20985836","title":"Efficacy of Advance Care Planning Videos for Patients: A Randomized Controlled Trial in Cancer, Heart, and Kidney Failure Outpatient Settings","year":2021,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Palliative Care and End-of-Life Issues","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Covenant Health; University of Alberta; University of Calgary","funders":"","keywords":"Advance care planning; Conversation; Psychological intervention; Medicine; Randomized controlled trial; Health care; Intervention (counseling); Quality of life (healthcare); Odds; Family medicine; Nursing; Psychology; Palliative care; Logistic regression; Internal medicine","score_opus":0.03892593167789706,"score_gpt":0.4285294931363553,"score_spread":0.38960356145845826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122845035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9573764,0.004400385,0.0011056823,0.0016061891,0.0016394679,0.029758677,0.0011029573,0.00016775704,0.002842441],"genre_scores_gemma":[0.93698245,0.0018243168,0.0040806113,0.0010881127,0.00087980845,0.052673955,0.0004466123,0.000021690737,0.0020024977],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9936731,0.004280452,0.0005886312,0.00064143277,0.00035069571,0.00046571912],"domain_scores_gemma":[0.9925706,0.003917066,0.0016443464,0.00035585486,0.00034367558,0.0011684841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058750445,0.0018166795,0.0030152288,0.0008197704,0.0010415601,0.001524986,0.0012231434,0.00392189,0.014757129],"category_scores_gemma":[0.01505712,0.00086452544,0.0029672256,0.00068805605,0.0017565356,0.002257655,0.0010118787,0.0033648931,0.00072071166],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9407298,0.03096049,0.0008319263,0.0025909955,0.0015905348,0.00003806445,0.00018996773,0.00025409367,0.0005218727,0.00016165414,0.0007644702,0.021366099],"study_design_scores_gemma":[0.95271283,0.04474299,0.0010816331,0.00013682907,0.00053487817,0.0000071464215,0.000056707227,0.00025118663,0.0001007549,0.00011548808,0.00024809528,0.000011379377],"about_ca_topic_score_codex":0.0021563875,"about_ca_topic_score_gemma":0.0032778925,"teacher_disagreement_score":0.014757129,"about_ca_system_score_codex":0.0017626028,"about_ca_system_score_gemma":0.0022870935,"threshold_uncertainty_score":0.049367487},"labels":[],"label_agreement":null},{"id":"W3135117411","doi":"10.1177/0272989x20984134","title":"User Involvement in the Design and Development of Patient Decision Aids and Other Personal Health Tools: A Systematic Review","year":2021,"lang":"en","type":"review","venue":"Medical Decision Making","topic":"Mental Health and Patient Involvement","field":"Health Professions","cited_by":141,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Regent Park Community Health Centre; Women's College Hospital; McMaster University; University of Toronto; Université Laval","funders":"Canadian Institutes of Health Research; Patient-Centered Outcomes Research Institute","keywords":"Usability; Decision aids; Context (archaeology); User-centered design; Computer science; Knowledge management; Process management; Human–computer interaction; Medicine; Engineering","score_opus":0.42237291448278635,"score_gpt":0.5130292441222223,"score_spread":0.09065632963943593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135117411","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024735802,0.99457353,0.00083451375,0.00038153026,0.00012233974,0.000762178,0.00019999918,0.00001620793,0.00063619344],"genre_scores_gemma":[0.040496085,0.94987196,0.005517311,0.0009309223,0.00008561431,0.0025833626,0.0002776574,0.000020299974,0.00021674109],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9321523,0.037453048,0.018107945,0.002013054,0.009621776,0.00065187656],"domain_scores_gemma":[0.74189526,0.22287841,0.016254418,0.0028307359,0.015065172,0.0010759422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04772889,0.0013402521,0.004749172,0.012886158,0.0011554692,0.0042452845,0.0025253417,0.002396895,0.0026889225],"category_scores_gemma":[0.15424101,0.001258462,0.0056013423,0.013561129,0.001702815,0.0050021326,0.0024753662,0.001636264,0.00035589925],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023096356,0.000046388188,0.0013470489,0.8807064,0.0033676894,0.00013276408,0.0016053428,0.000119336735,0.00017233954,0.00043754675,0.0014555232,0.11037857],"study_design_scores_gemma":[0.00018395433,0.00025138157,0.002427329,0.95689267,0.014120176,0.00034728975,0.0012585236,0.00011225659,0.0003369531,0.0003590731,0.023662908,0.000047521735],"about_ca_topic_score_codex":0.00541625,"about_ca_topic_score_gemma":0.016243396,"teacher_disagreement_score":0.04772889,"about_ca_system_score_codex":0.004794707,"about_ca_system_score_gemma":0.019027743,"threshold_uncertainty_score":0.25241745},"labels":[],"label_agreement":null},{"id":"W3139390944","doi":"10.1177/0272989x21997330","title":"Guidance and/or Decision Coaching with Patient Decision Aids: Scoping Reviews to Inform the International Patient Decision Aid Standards (IPDAS)","year":2021,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Cochrane; Queen's University; Université de Sherbrooke; Western University; Ottawa Hospital","funders":"Novo Nordisk Fonden","keywords":"Decision aids; Coaching; Decision analysis; Decision support system; Medicine; Management science; MEDLINE; Psychology; Computer science; Alternative medicine; Political science; Engineering; Psychotherapist","score_opus":0.14308785271339008,"score_gpt":0.4771929174194201,"score_spread":0.33410506470603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139390944","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016878116,0.95492744,0.008806159,0.022571329,0.0027732688,0.0033663597,0.001503456,0.00012811662,0.004236038],"genre_scores_gemma":[0.03607526,0.86776114,0.06229461,0.014078127,0.0016990858,0.014583409,0.0026208449,0.000121485056,0.00076605164],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.7970361,0.10589218,0.060886975,0.005914776,0.028408512,0.0018614811],"domain_scores_gemma":[0.36102027,0.5232221,0.053469025,0.01251902,0.047869187,0.00190053],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.19988504,0.002240689,0.005925761,0.024564996,0.0016781761,0.010212625,0.0049284184,0.006284209,0.0047894334],"category_scores_gemma":[0.49299988,0.002119716,0.008896946,0.022498915,0.0045189257,0.010547756,0.0061615207,0.005562202,0.0010222124],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029002593,0.00007020562,0.001623757,0.6893814,0.0025832849,0.00007671924,0.0024337987,0.0006866861,0.0002770378,0.013517333,0.027777473,0.26128227],"study_design_scores_gemma":[0.00013777356,0.00008000779,0.0010622545,0.9134617,0.0030309348,0.000085197666,0.0005279364,0.00031189583,0.00022564919,0.006454141,0.0745645,0.000058081034],"about_ca_topic_score_codex":0.007439572,"about_ca_topic_score_gemma":0.013547212,"teacher_disagreement_score":0.19988504,"about_ca_system_score_codex":0.009021405,"about_ca_system_score_gemma":0.054025423,"threshold_uncertainty_score":0.9866842},"labels":[],"label_agreement":null},{"id":"W3140466070","doi":"10.1177/0272989x21998980","title":"Layperson Views about the Design and Evaluation of Decision Aids: A Public Deliberation","year":2021,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Guelph","funders":"Patient-Centered Outcomes Research Institute","keywords":"Decision aids; Deliberation; Medicine; Facilitator; Layperson; Decision analysis; Trustworthiness; Family medicine; Psychology; Alternative medicine; Social psychology; Political science","score_opus":0.526994354579252,"score_gpt":0.532461009416268,"score_spread":0.005466654837015916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3140466070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62700415,0.0054011554,0.17749472,0.13993968,0.0017526124,0.007044243,0.0002024681,0.00026133365,0.040899653],"genre_scores_gemma":[0.94233686,0.001013669,0.046818793,0.006380497,0.0002475716,0.001601233,0.000053560572,0.00005286584,0.0014949236],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.5894566,0.3819036,0.0101694055,0.003540941,0.009861198,0.005068201],"domain_scores_gemma":[0.51967037,0.43558663,0.01138959,0.011509006,0.017417843,0.0044265906],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2702115,0.001492482,0.0012696069,0.0021293822,0.010843415,0.01066316,0.002559977,0.00807226,0.0040752864],"category_scores_gemma":[0.27332017,0.0014108878,0.0018073863,0.0009016972,0.016128786,0.008092953,0.012156442,0.011666578,0.0007250244],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018169465,0.0010739854,0.011134612,0.003729802,0.00030332504,0.003175397,0.8021962,0.0041658385,0.007266949,0.04270132,0.010057361,0.11237821],"study_design_scores_gemma":[0.00090309785,0.0024947224,0.0055824085,0.008322227,0.0003517327,0.0017904912,0.6826827,0.009881008,0.013967981,0.10184732,0.17164396,0.0005323277],"about_ca_topic_score_codex":0.0012308042,"about_ca_topic_score_gemma":0.00093274744,"teacher_disagreement_score":0.72978854,"about_ca_system_score_codex":0.0063167047,"about_ca_system_score_gemma":0.010817959,"threshold_uncertainty_score":0.89995915},"labels":[],"label_agreement":null},{"id":"W3142319574","doi":"10.1177/0272989x211004532","title":"Using Published Health Utilities in Cost-Utility Analyses: Discrepancies and Issues in Cardiovascular Disease","year":2021,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Impact","funders":"","keywords":"Medicine; Credibility; Quality-adjusted life year; Cost–utility analysis; Logistic regression; Health economics; Value (mathematics); Public health; Actuarial science; Risk analysis (engineering); Cost effectiveness; Statistics; Economics; Pathology","score_opus":0.5519049230256677,"score_gpt":0.5375153133700927,"score_spread":0.014389609655575009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3142319574","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12889364,0.61486465,0.1593593,0.047880813,0.0047052708,0.0013276357,0.011831458,0.00049375725,0.03064353],"genre_scores_gemma":[0.8536173,0.06435868,0.06078804,0.010656939,0.002518782,0.0017765706,0.004991466,0.00048015625,0.00081216486],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.50024986,0.35533348,0.08027093,0.009765676,0.0527943,0.0015857209],"domain_scores_gemma":[0.16175386,0.7102198,0.065893635,0.021545902,0.03972455,0.0008621429],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.42395985,0.0011446461,0.0027258925,0.021765206,0.0012206335,0.009196804,0.004308029,0.0017823889,0.0021998147],"category_scores_gemma":[0.712102,0.0010786164,0.004251237,0.032862544,0.004446889,0.00712554,0.004325448,0.0039498243,0.0005022163],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013176946,0.00020148819,0.2607169,0.059320427,0.0136574805,0.0011451872,0.010494383,0.007809912,0.00045051766,0.06113812,0.04252538,0.5412225],"study_design_scores_gemma":[0.00050949375,0.0009025615,0.37312832,0.16060974,0.009937944,0.00777721,0.009996697,0.018912802,0.0043540862,0.18597808,0.22680914,0.0010839707],"about_ca_topic_score_codex":0.0047351127,"about_ca_topic_score_gemma":0.0045893807,"teacher_disagreement_score":0.57604015,"about_ca_system_score_codex":0.006077522,"about_ca_system_score_gemma":0.0052176476,"threshold_uncertainty_score":0.71036005},"labels":[],"label_agreement":null},{"id":"W3157855096","doi":"10.1177/0272989x211007842","title":"Representing Tuberculosis Transmission with Complex Contagion: An Agent-Based Simulation Modeling Approach","year":2021,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; U.S. National Library of Medicine; National Institute of Allergy and Infectious Diseases; National Institutes of Health","keywords":"Transmission (telecommunications); Tuberculosis; Incidence (geometry); Epidemic model; Econometrics; Population; Computer science; Medicine; Outbreak; Statistics; Demography; Virology; Mathematics; Environmental health; Telecommunications; Pathology","score_opus":0.1142381757232625,"score_gpt":0.41478631647593756,"score_spread":0.30054814075267505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157855096","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6250034,0.00050626404,0.3577435,0.0021409702,0.000105736035,0.00027289416,0.0013144226,0.0003591696,0.012553714],"genre_scores_gemma":[0.9617473,0.0002680186,0.0349593,0.00010359807,0.000030489482,0.00019927483,0.00028672788,0.000030588213,0.0023747373],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939585,0.00038073605,0.000026906939,0.000078158504,0.00005166233,0.00006658636],"domain_scores_gemma":[0.9967625,0.0024330192,0.00032620115,0.000106815285,0.00022964997,0.00014179012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013638092,0.00080008054,0.0007281121,0.0010083166,0.0006876939,0.0013895299,0.0015575249,0.0016010238,0.0022566412],"category_scores_gemma":[0.0058949906,0.0005606656,0.0009157241,0.0007766655,0.00069095066,0.0010775323,0.0010050663,0.0010815926,0.00018549369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012933472,0.00001822851,0.0021044835,0.00000823942,0.00002781404,0.000024098055,0.000035195197,0.99371195,0.000085750275,0.0032331706,0.00007651287,0.0006616701],"study_design_scores_gemma":[0.0000061611886,0.000007732042,0.00019596255,0.0000031590203,0.0000063593066,0.0000046900377,0.000013018532,0.9982747,0.000020193169,0.0013252777,0.00013952354,0.0000032183752],"about_ca_topic_score_codex":0.076023914,"about_ca_topic_score_gemma":0.045659266,"teacher_disagreement_score":0.076023914,"about_ca_system_score_codex":0.0024176892,"about_ca_system_score_gemma":0.0023735848,"threshold_uncertainty_score":0.1511628},"labels":[],"label_agreement":null},{"id":"W3160824471","doi":"10.1177/0272989x211011606","title":"One Size Does Not Fit All: Financial Incentives Needed to Change Physical Exercise Levels for Different Groups","year":2021,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Overweight; Incentive; Percentile; Sample (material); Physical activity; Population; Payment; Quarter (Canadian coin); Intervention (counseling); Psychology; Medicine; Demography; Obesity; Environmental health; Physical therapy; Business; Economics; Statistics; Finance","score_opus":0.19547689848189587,"score_gpt":0.30545594351259897,"score_spread":0.1099790450307031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160824471","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97261816,0.00058175623,0.022882491,0.0009707641,0.00006133968,0.00025937048,0.00020513021,0.000030567884,0.002390414],"genre_scores_gemma":[0.99772745,0.000044180997,0.001686026,0.00010199412,0.000020870282,0.00007434872,0.00009146244,0.0000046162822,0.00024906662],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98620033,0.010680668,0.00046303828,0.0011066368,0.0008124173,0.00073690846],"domain_scores_gemma":[0.8470139,0.13344766,0.011689325,0.0044303574,0.0016090451,0.0018096658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.030319713,0.00053099165,0.0010882621,0.0009090681,0.0004612621,0.0017648612,0.0011823678,0.0013449052,0.005012762],"category_scores_gemma":[0.11527593,0.0002871217,0.0012278769,0.0008827788,0.0013980184,0.0031127941,0.0013914336,0.0020577975,0.00036347692],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003985231,0.0015596478,0.7957069,0.00022334779,0.00088441034,0.00032570816,0.001389645,0.028707143,0.000874389,0.027893,0.0016605009,0.13679002],"study_design_scores_gemma":[0.00050550455,0.0032339257,0.71433115,0.00021575435,0.0007215581,0.000929478,0.0029764145,0.19707763,0.0010211945,0.07371285,0.005136446,0.0001380609],"about_ca_topic_score_codex":0.002148113,"about_ca_topic_score_gemma":0.00093640195,"teacher_disagreement_score":0.030319713,"about_ca_system_score_codex":0.0012281103,"about_ca_system_score_gemma":0.0007697733,"threshold_uncertainty_score":0.16034782},"labels":[],"label_agreement":null},{"id":"W3160848562","doi":"10.1177/0272989x211073098","title":"Calculating Expected Value of Sample Information Adjusting for Imperfect Implementation","year":2022,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children; Public Health Ontario; University of Toronto","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Imperfect; Monte Carlo method; Matching (statistics); Sampling (signal processing); Sample (material); Moment (physics); Value of information; Expected value","score_opus":0.5071110705585236,"score_gpt":0.5631016622128868,"score_spread":0.055990591654363264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160848562","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009292254,0.00038658842,0.98666775,0.00045035136,0.00010514366,0.0005483468,0.00023779787,0.00027545917,0.0020362611],"genre_scores_gemma":[0.26673707,0.00046011424,0.7282709,0.0004194909,0.000115408264,0.0025756937,0.00048186394,0.00019185035,0.0007476095],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.85698754,0.11387713,0.0075223246,0.00682501,0.013603619,0.0011844005],"domain_scores_gemma":[0.41112766,0.51886535,0.022591267,0.034464624,0.012100851,0.00085024204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1269508,0.001508527,0.002374677,0.004006016,0.0007201329,0.0028548164,0.00340461,0.002203827,0.0056097917],"category_scores_gemma":[0.52323115,0.0010698253,0.0033915075,0.0032403015,0.0032870157,0.0048261727,0.003922863,0.003442755,0.00067276566],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084567687,0.0002861644,0.054290883,0.0026959756,0.00322157,0.0005134179,0.0015866138,0.20299219,0.0014070059,0.25383753,0.0069323117,0.47139072],"study_design_scores_gemma":[0.00041301598,0.0012931693,0.02123024,0.0020618765,0.0014623974,0.0006068228,0.0004206867,0.5103043,0.007434724,0.43385383,0.02065701,0.00026181786],"about_ca_topic_score_codex":0.002325813,"about_ca_topic_score_gemma":0.0016147292,"teacher_disagreement_score":0.1269508,"about_ca_system_score_codex":0.0037074466,"about_ca_system_score_gemma":0.00523032,"threshold_uncertainty_score":0.67138803},"labels":[],"label_agreement":null},{"id":"W3160970860","doi":"10.1177/0272989x211010738","title":"The Multifocal Approach to Sharing in Shared Decision Making: A Critical Appraisal of the MAPPIN’SDM","year":2021,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; Hospital for Sick Children; Ottawa Hospital; Western University; SickKids Foundation; Dalhousie University; University of Toronto; University of Ottawa","funders":"","keywords":"Critical appraisal; Decision aids; Decision theory; Decision analysis; MEDLINE; Reliability (semiconductor)","score_opus":0.22239076927180668,"score_gpt":0.5031467805379212,"score_spread":0.2807560112661145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160970860","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004602061,0.823636,0.03232142,0.11911462,0.009511795,0.0054260655,0.00015006284,0.00006461013,0.0051734243],"genre_scores_gemma":[0.24118602,0.51884323,0.16961953,0.04105784,0.0049755243,0.022854494,0.00020513443,0.00016192485,0.0010962973],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.45401725,0.44347444,0.046218388,0.0065029436,0.047596693,0.0021902428],"domain_scores_gemma":[0.18776365,0.7222329,0.017697185,0.009605424,0.0601467,0.0025541536],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.49569523,0.0027969703,0.0064352998,0.026550075,0.00845229,0.01652961,0.009047339,0.00652385,0.0019710464],"category_scores_gemma":[0.5832658,0.0021204492,0.006696628,0.01458164,0.036460903,0.02160875,0.017373767,0.015603696,0.00032793113],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008660411,0.00012999879,0.002731214,0.25675502,0.003420092,0.0009567588,0.09447966,0.0015330383,0.0004578269,0.13825668,0.02891729,0.4714963],"study_design_scores_gemma":[0.0003457611,0.0005866083,0.0022769864,0.697587,0.0026802297,0.0009548381,0.051024236,0.0018333609,0.00094844896,0.09634011,0.14505717,0.0003653571],"about_ca_topic_score_codex":0.0074084476,"about_ca_topic_score_gemma":0.011346064,"teacher_disagreement_score":0.49569523,"about_ca_system_score_codex":0.049747664,"about_ca_system_score_gemma":0.097740896,"threshold_uncertainty_score":0.6218976},"labels":[],"label_agreement":null},{"id":"W3163248277","doi":"10.1177/0272989x211011120","title":"Are We Improving? Update and Critical Appraisal of the Reporting of Decision Process and Quality Measures in Trials Evaluating Patient Decision Aids","year":2021,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Advancing Health Outcomes; University of British Columbia","funders":"","keywords":"Decision aids; Medicine; Interpretability; Concordance; Reliability (semiconductor); Systematic review; MEDLINE; Critical appraisal; Randomized controlled trial; Alternative medicine; Computer science; Machine learning","score_opus":0.49892779776983465,"score_gpt":0.607310710316577,"score_spread":0.10838291254674237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163248277","genre_codex":"review","genre_gemma":"empirical","domain_codex":"methods","domain_gemma":"reporting","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"reporting","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030070823,0.8590999,0.02244373,0.0746852,0.020163948,0.015914435,0.0018025768,0.0004213963,0.0024617095],"genre_scores_gemma":[0.11364955,0.56931704,0.18611777,0.036630366,0.014780308,0.075099416,0.002916322,0.0005239434,0.00096522004],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.120092995,0.48045442,0.3181425,0.008946819,0.06999136,0.002371993],"domain_scores_gemma":[0.029840365,0.62170964,0.13963582,0.035484888,0.17069833,0.0026309728],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.7349227,0.0049556713,0.01508111,0.0315695,0.0061940053,0.025338292,0.013674299,0.010308475,0.002848674],"category_scores_gemma":[0.91275775,0.0061213975,0.018319963,0.02162665,0.013378391,0.019884923,0.0119875055,0.01764553,0.0011043688],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001609048,0.00012382591,0.005876345,0.62902683,0.015867837,0.0001572047,0.008041911,0.0007061083,0.00055729505,0.0073789195,0.054144513,0.27651012],"study_design_scores_gemma":[0.0012676488,0.00048749792,0.0049295635,0.89293694,0.017155124,0.00026348722,0.0016823529,0.0013550121,0.0010974687,0.009688361,0.068713635,0.00042286096],"about_ca_topic_score_codex":0.0112642255,"about_ca_topic_score_gemma":0.012843424,"teacher_disagreement_score":0.2650773,"about_ca_system_score_codex":0.032171868,"about_ca_system_score_gemma":0.100617096,"threshold_uncertainty_score":0.32688755},"labels":[],"label_agreement":null},{"id":"W3165044452","doi":"10.1177/0272989x211011100","title":"Do Personal Stories Make Patient Decision Aids More Effective? An Update from the International Patient Decision Aids Standards","year":2021,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Narrative; Decision aids; Context (archaeology); Construct (python library); Psychology; Empirical evidence; Narrative review; Social psychology; Medicine; Computer science; Epistemology; History; Psychotherapist; Alternative medicine; Linguistics","score_opus":0.07712263461990963,"score_gpt":0.4451288075704485,"score_spread":0.36800617295053883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165044452","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004385672,0.76634943,0.004627312,0.20451005,0.0062533114,0.0007663577,0.00038224194,0.0000721818,0.01265336],"genre_scores_gemma":[0.06995746,0.83122313,0.03399691,0.0581115,0.0021246609,0.0023491848,0.00088612805,0.00011085462,0.0012402046],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.8470381,0.091135815,0.03233332,0.0031039063,0.024673289,0.0017154908],"domain_scores_gemma":[0.3823309,0.5478238,0.01691372,0.0076519633,0.04144751,0.0038321184],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.20691662,0.0014028323,0.0026915057,0.01503303,0.002980415,0.013733489,0.0050800275,0.0065541514,0.0042792386],"category_scores_gemma":[0.3860593,0.0014285853,0.0033043127,0.009068727,0.010577219,0.027927551,0.01658448,0.012973329,0.0010607783],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019797563,0.00015132631,0.0019378628,0.066315986,0.00022047771,0.00017479988,0.02111872,0.00025648603,0.00021341308,0.04975414,0.040195826,0.81946295],"study_design_scores_gemma":[0.00010569596,0.0002504786,0.0027078066,0.431073,0.0004826667,0.0006552083,0.017041186,0.00027310956,0.00049201236,0.02590501,0.5208697,0.00014419905],"about_ca_topic_score_codex":0.006755924,"about_ca_topic_score_gemma":0.010613469,"teacher_disagreement_score":0.20691662,"about_ca_system_score_codex":0.01738546,"about_ca_system_score_gemma":0.042026024,"threshold_uncertainty_score":0.978013},"labels":[],"label_agreement":null},{"id":"W3165218162","doi":"10.1177/0272989x211011101","title":"Addressing Health Literacy in Patient Decision Aids: An Update from the International Patient Decision Aid Standards","year":2021,"lang":"en","type":"review","venue":"Medical Decision Making","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Institute on Aging","keywords":"Decision aids; Health literacy; Decision analysis; Medicine; Decision support system; Literacy; Clinical decision support system; Health care; Medical education; Psychology; Computer science; Alternative medicine; Artificial intelligence; Economic growth; Pathology; Economics","score_opus":0.14523596099373273,"score_gpt":0.5675497928479848,"score_spread":0.4223138318542521,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165218162","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026272694,0.7254069,0.029759573,0.20155844,0.0144607425,0.0026654038,0.0022315276,0.0007584575,0.020531759],"genre_scores_gemma":[0.028376576,0.6910751,0.18920091,0.062825784,0.0053520445,0.013037974,0.0058766166,0.0005770611,0.0036779311],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.8258437,0.070246845,0.05581868,0.003815997,0.041919142,0.002355594],"domain_scores_gemma":[0.5590947,0.27321506,0.028774513,0.012427603,0.11875106,0.00773708],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.21830934,0.0019650552,0.007453444,0.013833094,0.0022112601,0.010917682,0.009492651,0.007160832,0.004581165],"category_scores_gemma":[0.30604005,0.0017848341,0.010288301,0.012594735,0.0069841244,0.012091666,0.014052478,0.019382957,0.0025217745],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028865438,0.00020481256,0.0020204617,0.045449253,0.00046308257,0.000082649145,0.0024037242,0.0006504703,0.00026907446,0.02919598,0.10774993,0.8112219],"study_design_scores_gemma":[0.00030414958,0.00037893074,0.006881865,0.24948062,0.0010437594,0.00050058303,0.0013964927,0.00089726056,0.0007493551,0.025715126,0.712427,0.00022478488],"about_ca_topic_score_codex":0.009595209,"about_ca_topic_score_gemma":0.00967055,"teacher_disagreement_score":0.21830934,"about_ca_system_score_codex":0.015488655,"about_ca_system_score_gemma":0.06204634,"threshold_uncertainty_score":0.96396375},"labels":[],"label_agreement":null},{"id":"W3171715214","doi":"","title":"FORECASTING DEMAND FOR PERSONAL PROTECTIVE EQUIPMENT FOR ONTARIO'S ACUTE CARE HOSPITALS DURING THE COVID-19 PANDEMIC","year":2021,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Disaster Response and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Personal protective equipment; Pandemic; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medical emergency; Medicine; Acute care; Emergency medicine; Health care; Virology; Economics; Outbreak; Economic growth; Infectious disease (medical specialty); Internal medicine; Disease","score_opus":0.11620476589432249,"score_gpt":0.45169723508717574,"score_spread":0.33549246919285325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3171715214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99188906,0.00008080304,0.00020028472,0.00093636365,0.0000118317785,0.000034490527,0.0038191923,0.00001679484,0.0030111652],"genre_scores_gemma":[0.9954418,0.00011667473,0.00035175245,0.000065006185,0.0000091784295,0.000012100873,0.002542404,0.0000036207437,0.0014574943],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999678,0.000033069155,0.000016554734,0.000041160725,0.000101554055,0.00012972917],"domain_scores_gemma":[0.9985139,0.00037679993,0.00026153913,0.00003168245,0.00049274904,0.00032336853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042441665,0.00049383065,0.00022013843,0.0009230347,0.0008699699,0.0011052412,0.00062724337,0.0009814496,0.0020838403],"category_scores_gemma":[0.0025181214,0.0003250662,0.00040131266,0.0010602939,0.00035004993,0.000572623,0.0004611634,0.0006368752,0.0003086916],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007150047,0.00030268682,0.8711032,0.00013840763,0.00015268548,0.00063262327,0.001263074,0.09449411,0.003167395,0.0013092946,0.01414395,0.012577707],"study_design_scores_gemma":[0.000053369735,0.00016242541,0.7547818,0.000052088002,0.00003962457,0.000053332795,0.0067451545,0.23203936,0.0005064608,0.00036062126,0.00516165,0.00004417339],"about_ca_topic_score_codex":0.9017734,"about_ca_topic_score_gemma":0.9496229,"teacher_disagreement_score":0.09822661,"about_ca_system_score_codex":0.0127954995,"about_ca_system_score_gemma":0.008449161,"threshold_uncertainty_score":0.19761014},"labels":[],"label_agreement":null},{"id":"W3173177335","doi":"10.1177/0272989x211020317","title":"A Systematic Review and Meta-Analysis of Patient Decision Aids for Socially Disadvantaged Populations: Update from the International Patient Decision Aid Standards (IPDAS)","year":2021,"lang":"en","type":"review","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Cancer Institute; National Institute on Aging","keywords":"Decision aids; Disadvantaged; Psychological intervention; Meta-analysis; Psychology; Medicine; Systematic review; MEDLINE; Alternative medicine; Nursing; Political science","score_opus":0.3128538356211123,"score_gpt":0.5467821474587048,"score_spread":0.2339283118375925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3173177335","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010777016,0.9943514,0.00086256827,0.0009824504,0.0004390056,0.0013964289,0.0005848788,0.00003742604,0.00026808618],"genre_scores_gemma":[0.02834652,0.95027524,0.008824735,0.0022270577,0.0004015319,0.008522932,0.001057947,0.000052203035,0.00029181928],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9357203,0.031766128,0.020127067,0.0028022015,0.008745827,0.0008385182],"domain_scores_gemma":[0.89028716,0.076188855,0.0176313,0.0034051577,0.011666826,0.0008207103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07427613,0.0031022618,0.023257703,0.014299223,0.0010121915,0.0059100185,0.0043637822,0.0035886632,0.0045609646],"category_scores_gemma":[0.17369792,0.0021032437,0.025570102,0.010507092,0.0014738706,0.004529943,0.0035820191,0.0033422492,0.00044613265],"study_design_candidate":"meta_analysis","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00079504866,0.0000209856,0.00078310224,0.86814356,0.084166445,0.00005445385,0.00018550848,0.0002578423,0.00012545503,0.0004360446,0.0028495817,0.042182155],"study_design_scores_gemma":[0.0018195967,0.0003551593,0.0041207923,0.6034085,0.37193447,0.0001524289,0.0001639646,0.00028719738,0.0002368056,0.0011102989,0.016335052,0.00007570443],"about_ca_topic_score_codex":0.009534393,"about_ca_topic_score_gemma":0.02185659,"teacher_disagreement_score":0.07427613,"about_ca_system_score_codex":0.0075220135,"about_ca_system_score_gemma":0.017980063,"threshold_uncertainty_score":0.3928144},"labels":[],"label_agreement":null},{"id":"W3175840800","doi":"10.1177/0272989x211021397","title":"Providing Balanced Information about Options in Patient Decision Aids: An Update from the International Patient Decision Aid Standards","year":2021,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa; University of Toronto","funders":"","keywords":"Decision aids; Decision analysis; Decision support system; Medicine; Computer science; Management science; Medical emergency; Alternative medicine; Data mining; Economics","score_opus":0.07628924294912272,"score_gpt":0.4314560621396858,"score_spread":0.3551668191905631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175840800","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0048543843,0.6509528,0.092315525,0.19867672,0.017087081,0.0042981277,0.0015027858,0.0006087348,0.029703768],"genre_scores_gemma":[0.07390291,0.44074112,0.3857328,0.074576914,0.005618717,0.013933571,0.0026250097,0.00045505117,0.0024138826],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.5023955,0.27469346,0.12284656,0.006367138,0.09088147,0.0028158203],"domain_scores_gemma":[0.25142834,0.5958009,0.033383474,0.01845235,0.096862935,0.0040720543],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.37761924,0.0025812062,0.006502544,0.024445005,0.0032008246,0.019477062,0.0092370305,0.009315353,0.004972889],"category_scores_gemma":[0.5843541,0.0022645635,0.008577189,0.016087612,0.012415065,0.024878338,0.017207107,0.019508779,0.0018541683],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004448734,0.0001670799,0.0016468539,0.11375509,0.0007367877,0.00012771499,0.009078724,0.0010794981,0.00043153903,0.095204644,0.05595681,0.72137034],"study_design_scores_gemma":[0.00039984556,0.0005859684,0.0020548054,0.42344823,0.0018091636,0.00072687026,0.0041207816,0.001115286,0.0011649566,0.073298365,0.49095464,0.00032110146],"about_ca_topic_score_codex":0.0037326512,"about_ca_topic_score_gemma":0.004542841,"teacher_disagreement_score":0.37761924,"about_ca_system_score_codex":0.017229281,"about_ca_system_score_gemma":0.06296232,"threshold_uncertainty_score":0.7675063},"labels":[],"label_agreement":null},{"id":"W3176558350","doi":"10.1177/0272989x211014163","title":"Systematic Development of Patient Decision Aids: An Update from the IPDAS Collaboration","year":2021,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Mental Health and Patient Involvement","field":"Health Professions","cited_by":196,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Université Laval; Centre hospitalier universitaire de Québec","funders":"National Cancer Institute; Novo Nordisk Fonden; Canadian Institutes of Health Research; Patient-Centered Outcomes Research Institute; Cancer Prevention and Research Institute of Texas","keywords":"Decision aids; Medicine; Management science; Computer science; Alternative medicine; Pathology; Engineering","score_opus":0.11320291037273196,"score_gpt":0.44884749727225587,"score_spread":0.3356445868995239,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3176558350","genre_codex":"review","genre_gemma":"methods","domain_codex":"methods","domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":"methods","domain_consensus":"methods","prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008540566,0.8702099,0.034129485,0.065713316,0.0073406477,0.0053254724,0.0020349545,0.00051889877,0.006186854],"genre_scores_gemma":[0.065428644,0.60203815,0.2848267,0.024377445,0.0031395305,0.015291517,0.0032868907,0.000491389,0.001119844],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.3095487,0.39922908,0.18306653,0.015339741,0.090252645,0.002563139],"domain_scores_gemma":[0.12501298,0.60369676,0.061913736,0.04596374,0.1569369,0.0064758398],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.5190444,0.002468584,0.0072440444,0.0429319,0.002661057,0.015393198,0.006862143,0.0063301483,0.002118774],"category_scores_gemma":[0.7072055,0.0037419063,0.008099751,0.031465437,0.008468535,0.013981036,0.020626985,0.010691155,0.0010634338],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051630154,0.00011591591,0.0044220192,0.16429971,0.0029425775,0.00021014876,0.010801281,0.00083582324,0.000655088,0.007127863,0.03246221,0.77561104],"study_design_scores_gemma":[0.0006806467,0.0006141202,0.0062066843,0.5865431,0.0033910912,0.0008367197,0.004219235,0.00093761174,0.0013915232,0.009743453,0.38502106,0.000414732],"about_ca_topic_score_codex":0.0072967345,"about_ca_topic_score_gemma":0.015477528,"teacher_disagreement_score":0.4809556,"about_ca_system_score_codex":0.016660532,"about_ca_system_score_gemma":0.09015625,"threshold_uncertainty_score":0.5931039},"labels":[],"label_agreement":null},{"id":"W3184405065","doi":"10.1177/0272989x211026292","title":"Simulating Study Data to Support Expected Value of Sample Information Calculations: A Tutorial","year":2021,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children; Public Health Ontario; University of Toronto","funders":"Medical Research Council; Norges Forskningsråd; University of Bristol; Department of Health and Social Care; Strong; Canadian Institutes of Health Research; National Institute for Health and Care Research; University Hospitals Bristol NHS Foundation Trust","keywords":"Bridging (networking); Missing data; Probabilistic logic; Sample (material); Key (lock); Value (mathematics); Outcome (game theory); Sample size determination","score_opus":0.4848813593112004,"score_gpt":0.5247604619037006,"score_spread":0.039879102592500215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184405065","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009203437,0.002827777,0.97957486,0.0015785496,0.0003886049,0.0005404252,0.0023572429,0.0045728893,0.007239295],"genre_scores_gemma":[0.007976979,0.0063440977,0.97255623,0.00090270274,0.00046412833,0.0015923411,0.0027309963,0.0019981663,0.0054343618],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99653023,0.0021387367,0.0003526583,0.0002608757,0.00063696684,0.00008052664],"domain_scores_gemma":[0.96514964,0.030889805,0.00073444593,0.00089981,0.0019782882,0.0003481047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00877698,0.0022720841,0.0012318575,0.00254716,0.00043598123,0.0024744468,0.0021336155,0.0019082743,0.03711391],"category_scores_gemma":[0.0511599,0.0014454267,0.0022148718,0.0018692903,0.00051283976,0.0028320462,0.0018468228,0.003512084,0.011695814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012914042,0.00019529658,0.0023642285,0.0030971658,0.0002993016,0.00064694596,0.0007158096,0.10178357,0.0025902481,0.18444192,0.16638942,0.537347],"study_design_scores_gemma":[0.00018692738,0.00015198757,0.0013897632,0.0026196984,0.00013374,0.0010454339,0.00014542004,0.24657694,0.0038970571,0.2718979,0.47177455,0.0001806266],"about_ca_topic_score_codex":0.002388377,"about_ca_topic_score_gemma":0.003557656,"teacher_disagreement_score":0.03711391,"about_ca_system_score_codex":0.0013382566,"about_ca_system_score_gemma":0.0025715246,"threshold_uncertainty_score":0.12415838},"labels":[],"label_agreement":null},{"id":"W3192788213","doi":"10.1177/0272989x211025525","title":"Testing for a Sweet Spot in Randomized Trials","year":2021,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; University of Toronto; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research; Canada Research Chairs; BrightFocus Foundation","keywords":"Sweet spot; Randomized controlled trial; Risk stratification; Clinical trial; MEDLINE; Blind spot","score_opus":0.39334255561661463,"score_gpt":0.5333925520726709,"score_spread":0.14004999645605626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3192788213","genre_codex":"methods","genre_gemma":"methods","domain_codex":"methods","domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":"methods","domain_consensus":"methods","prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07367017,0.060414363,0.72397596,0.06702553,0.022199411,0.01862869,0.0042286683,0.005329265,0.024527984],"genre_scores_gemma":[0.61013985,0.0036714794,0.30468306,0.041977134,0.0067648184,0.02930345,0.00095306657,0.0006312218,0.0018759595],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.18871427,0.7005635,0.033989068,0.043731067,0.030622238,0.002379899],"domain_scores_gemma":[0.08344462,0.84706926,0.02873415,0.034215663,0.0047207684,0.0018155667],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.58863145,0.0036833824,0.012471053,0.008366137,0.0023748248,0.012383895,0.009027916,0.016266417,0.017570766],"category_scores_gemma":[0.7795535,0.0030832991,0.0133648915,0.009023805,0.029004699,0.0157169,0.007674,0.016339071,0.0019520974],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.042322826,0.00097382185,0.073458284,0.059741255,0.09193273,0.0065887654,0.0045946706,0.028273601,0.0026826356,0.34755674,0.047957234,0.29391745],"study_design_scores_gemma":[0.012232652,0.0099205375,0.014720227,0.017369207,0.010383584,0.0038771476,0.0011926424,0.12600052,0.0034815897,0.74464065,0.0554654,0.0007159117],"about_ca_topic_score_codex":0.0006070666,"about_ca_topic_score_gemma":0.00040990944,"teacher_disagreement_score":0.41136855,"about_ca_system_score_codex":0.005956883,"about_ca_system_score_gemma":0.005680421,"threshold_uncertainty_score":0.5072907},"labels":[],"label_agreement":null},{"id":"W3194460113","doi":"10.1177/0272989x211035681","title":"The International Patient Decision Aid Standards (IPDAS) Collaboration: Evidence Update 2.0","year":2021,"lang":"en","type":"editorial","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":183,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"National Cancer Institute","keywords":"MEDLINE; Decision aids; Medicine; Computer science; Alternative medicine; Political science","score_opus":0.10136996779831609,"score_gpt":0.49393526365466905,"score_spread":0.39256529585635297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3194460113","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001531805,0.065292075,0.0012047179,0.09701303,0.830414,0.00029881144,0.00018705813,0.00018630257,0.00525088],"genre_scores_gemma":[0.002276606,0.11736159,0.004747244,0.078099534,0.788145,0.0006071421,0.0005239383,0.00023741629,0.00800148],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.951381,0.011857013,0.010122115,0.0012979166,0.024119586,0.0012223109],"domain_scores_gemma":[0.7427065,0.14262502,0.016504448,0.003806154,0.08676919,0.007588739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04467975,0.0023804654,0.0038522095,0.011473247,0.0027581942,0.010960078,0.005168371,0.012426622,0.0071881167],"category_scores_gemma":[0.15944667,0.001412713,0.00272255,0.005353928,0.0039463514,0.007435302,0.0040458655,0.017256625,0.005346914],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000106019776,0.00004148406,0.000109475375,0.0072865114,0.00008105517,0.00013661459,0.00019223937,0.000055163557,0.00008438587,0.0013505989,0.91277015,0.07778623],"study_design_scores_gemma":[0.00008890657,0.000044697103,0.00020514031,0.011438257,0.00015545142,0.0002826922,0.000116569725,0.00009876336,0.00015351045,0.0012007563,0.98618627,0.000028998682],"about_ca_topic_score_codex":0.0018683741,"about_ca_topic_score_gemma":0.0031897752,"teacher_disagreement_score":0.04467975,"about_ca_system_score_codex":0.0043737753,"about_ca_system_score_gemma":0.016383419,"threshold_uncertainty_score":0.23629189},"labels":[],"label_agreement":null},{"id":"W3195294569","doi":"10.1177/0272989x221103163","title":"An Introductory Tutorial on Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example","year":2022,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; University of Toronto; University of Ottawa; Hospital for Sick Children","funders":"National Institute of Allergy and Infectious Diseases; National Cancer Institute; National Institute on Drug Abuse","keywords":"Computer science; Probabilistic logic; Cohort; Decision model; Decision analysis; Statistical model; Outcome (game theory); Transition (genetics); Constant (computer programming); Econometrics; Operations research; Statistics; Machine learning; Artificial intelligence; Mathematics; Mathematical economics","score_opus":0.3463333329277015,"score_gpt":0.4768139777248217,"score_spread":0.13048064479712018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195294569","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001047037,0.0060579707,0.9530577,0.0039855856,0.0005840625,0.0002959266,0.008643606,0.005190265,0.021137934],"genre_scores_gemma":[0.024861101,0.010840632,0.9229441,0.003328213,0.0011577338,0.003058642,0.006114522,0.0043451968,0.0233498],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984692,0.0009255987,0.00012135356,0.00016446122,0.0002605493,0.000058792033],"domain_scores_gemma":[0.98680764,0.011998931,0.00029274914,0.00030924688,0.00047316146,0.00011830221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004073396,0.0019887195,0.0011999804,0.0013907069,0.00035193347,0.0012240211,0.0015357154,0.0014891494,0.071197025],"category_scores_gemma":[0.020503221,0.00081742636,0.0029177053,0.0015537307,0.00043611776,0.0017589286,0.0013217101,0.0027921067,0.020622544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000092664995,0.00016034729,0.00120481,0.002589973,0.00026483156,0.00093101565,0.0002941686,0.13503589,0.0013064637,0.34200838,0.36577392,0.15033755],"study_design_scores_gemma":[0.0001230908,0.000100909696,0.0008570946,0.0007469537,0.00010285748,0.000757074,0.00005453137,0.15432778,0.00073099934,0.39170504,0.45038983,0.00010390808],"about_ca_topic_score_codex":0.0041372986,"about_ca_topic_score_gemma":0.0052802493,"teacher_disagreement_score":0.071197025,"about_ca_system_score_codex":0.0009353626,"about_ca_system_score_gemma":0.0014388799,"threshold_uncertainty_score":0.23817778},"labels":[],"label_agreement":null},{"id":"W3196833216","doi":"10.1177/0272989x211039743","title":"The Impact of 4 Risk Communication Interventions on Cancer Screening Preferences and Knowledge","year":2021,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sinai Health System; University of Toronto","funders":"National Cancer Institute; University of Missouri","keywords":"Cancer screening; Psychological intervention; Risk communication; Risk assessment; Public health; Medical screening; MEDLINE","score_opus":0.3693068698823472,"score_gpt":0.5753126543999911,"score_spread":0.20600578451764395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196833216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99622524,0.0005780494,0.0002709746,0.0004248965,0.000059381884,0.0005741278,0.00006703652,0.000036495538,0.0017638693],"genre_scores_gemma":[0.991392,0.00075350876,0.004191297,0.00028545564,0.00009087655,0.0020823136,0.0001091685,0.000007243565,0.0010880986],"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9970016,0.0015839163,0.0003034965,0.0002991,0.00044305826,0.00036874227],"domain_scores_gemma":[0.9883433,0.008225223,0.0015889445,0.0002627726,0.000221648,0.0013582445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026567779,0.0008654329,0.0008230315,0.00086060626,0.00049537444,0.0009479939,0.00073221687,0.0014787081,0.008422809],"category_scores_gemma":[0.017368942,0.00034185467,0.0011162795,0.00032265758,0.0005291538,0.00096683024,0.0012479828,0.0014492534,0.00039511634],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.117421396,0.22785088,0.021164874,0.0059517296,0.0017404818,0.00029890594,0.0053876294,0.0030566456,0.007274076,0.00093434664,0.0015631343,0.6073559],"study_design_scores_gemma":[0.1402045,0.58336216,0.21105975,0.0034897448,0.0079723215,0.00044615002,0.003869246,0.0113777835,0.021390071,0.0040215934,0.012444861,0.00036170115],"about_ca_topic_score_codex":0.001111522,"about_ca_topic_score_gemma":0.0014700902,"teacher_disagreement_score":0.008422809,"about_ca_system_score_codex":0.0012639728,"about_ca_system_score_gemma":0.0016395203,"threshold_uncertainty_score":0.028177142},"labels":[],"label_agreement":null},{"id":"W3198103700","doi":"10.1177/0272989x221121747","title":"A Tutorial on Time-Dependent Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example","year":2022,"lang":"en","type":"preprint","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Ottawa; Hospital for Sick Children","funders":"National Institute of Allergy and Infectious Diseases; National Institute on Drug Abuse; National Institutes of Health; National Cancer Institute; Gordon and Betty Moore Foundation; American Diabetes Association","keywords":"Dependency (UML); Computer science; Probabilistic logic; Notation; Transition (genetics); Code (set theory); State (computer science); Residence time (fluid dynamics); Algorithm; Programming language; Artificial intelligence; Mathematics","score_opus":0.3896723100063631,"score_gpt":0.48455391700742223,"score_spread":0.09488160700105913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198103700","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007616962,0.0058740834,0.96401834,0.0026427135,0.0005306822,0.00027354655,0.007641212,0.004676435,0.013581223],"genre_scores_gemma":[0.020636454,0.010480294,0.9366618,0.0031151015,0.0009856762,0.003214718,0.006137422,0.0042736395,0.014494874],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973815,0.0017076288,0.00018365952,0.00023657497,0.00041183614,0.000078759],"domain_scores_gemma":[0.9800685,0.018204516,0.00038459056,0.0005535989,0.00065377966,0.00013494396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059258617,0.002355678,0.0013680233,0.0017069775,0.0003581738,0.0014277936,0.0016190391,0.0016048906,0.055953596],"category_scores_gemma":[0.030091887,0.0009723308,0.0033928922,0.0019456494,0.00046107813,0.0016950817,0.0013955688,0.0033061882,0.019554025],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010645765,0.00016133525,0.0013455237,0.0032890972,0.00039828967,0.001121357,0.00029588808,0.16630393,0.0013250797,0.38208675,0.29765764,0.1459087],"study_design_scores_gemma":[0.00015566748,0.000109223474,0.0008000495,0.0008371309,0.0001313576,0.00077677803,0.000049370567,0.15725066,0.00082181935,0.43211195,0.4068272,0.00012882687],"about_ca_topic_score_codex":0.0050504263,"about_ca_topic_score_gemma":0.005454829,"teacher_disagreement_score":0.055953596,"about_ca_system_score_codex":0.0010054024,"about_ca_system_score_gemma":0.0018863031,"threshold_uncertainty_score":0.18718344},"labels":[],"label_agreement":null},{"id":"W3204947748","doi":"10.1177/0272989x211037946","title":"Clarifying Values: An Updated and Expanded Systematic Review and Meta-Analysis","year":2021,"lang":"en","type":"review","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":135,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Université Laval; Centre hospitalier universitaire de Québec","funders":"National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research","keywords":"Data extraction; CINAHL; Meta-analysis; MEDLINE; Cochrane Library; Confidence interval; Decision aids; Medicine; Randomized controlled trial; Psychology; Set (abstract data type); Computer science; Alternative medicine; Surgery; Pathology; Internal medicine","score_opus":0.5658833335798786,"score_gpt":0.5826820061646499,"score_spread":0.0167986725847713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204947748","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011804855,0.989037,0.0019961752,0.0017055931,0.00109394,0.0029196336,0.001352717,0.0000946908,0.00061982276],"genre_scores_gemma":[0.032716397,0.9242318,0.021353759,0.0047746613,0.00084786426,0.013667025,0.001604807,0.000094091665,0.00070966536],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.90366226,0.040105976,0.035538364,0.0040904777,0.015271013,0.0013320324],"domain_scores_gemma":[0.827946,0.11488105,0.028910406,0.0064655985,0.020690959,0.0011061019],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09287989,0.0040105768,0.019244516,0.035915926,0.0012392582,0.0072932225,0.0051622624,0.005008761,0.00871795],"category_scores_gemma":[0.23529439,0.002613688,0.026715284,0.018145662,0.0015981194,0.010445032,0.005630081,0.0036678012,0.00092798995],"study_design_candidate":"meta_analysis","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006809573,0.000033152362,0.00077907275,0.87862337,0.060502365,0.00011052937,0.0002794086,0.00025824443,0.00026455164,0.0005010012,0.004401573,0.05356577],"study_design_scores_gemma":[0.0014232146,0.000284016,0.0032255896,0.6571872,0.3107297,0.00029606282,0.00018964524,0.0002143575,0.00027318773,0.0011285046,0.024921797,0.00012667624],"about_ca_topic_score_codex":0.007436668,"about_ca_topic_score_gemma":0.024384456,"teacher_disagreement_score":0.09287989,"about_ca_system_score_codex":0.008594752,"about_ca_system_score_gemma":0.019713853,"threshold_uncertainty_score":0.4912017},"labels":[],"label_agreement":null},{"id":"W3206292861","doi":"10.1177/0272989x211050909","title":"Model-Based ROC Curve: Examining the Effect of Case Mix and Model Calibration on the ROC Plot","year":2021,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Calibration; Plot (graphics); Smoothing; Receiver operating characteristic; Statistical model; Statistical hypothesis testing","score_opus":0.11780946287119767,"score_gpt":0.38415580651221704,"score_spread":0.2663463436410194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206292861","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23481885,0.0066584037,0.73456615,0.0037604973,0.0005463089,0.0017545618,0.0033573105,0.0041641905,0.010373782],"genre_scores_gemma":[0.894833,0.00051637524,0.10023599,0.00067237386,0.00017371803,0.00089427107,0.0016166085,0.0006284523,0.00042899535],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.859817,0.10915341,0.0055228877,0.010156639,0.014019489,0.0013305342],"domain_scores_gemma":[0.3994468,0.51555383,0.028341373,0.03719058,0.017586587,0.0018808957],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.13974307,0.0019034178,0.0020644078,0.006556238,0.0008343458,0.0045227283,0.0032750848,0.0033321737,0.0040398557],"category_scores_gemma":[0.41953084,0.000641498,0.0047997064,0.0047540287,0.0030986215,0.0040792534,0.003764135,0.0035537162,0.001018336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0048679477,0.00078200275,0.33815372,0.002906079,0.008362968,0.00095724215,0.0021666368,0.31552717,0.0028589948,0.042085633,0.023192909,0.25813872],"study_design_scores_gemma":[0.00041165896,0.0028500317,0.10797647,0.0008901798,0.0017819335,0.0024699972,0.0006898715,0.8065251,0.0056856354,0.057911005,0.012328599,0.000479519],"about_ca_topic_score_codex":0.0026749745,"about_ca_topic_score_gemma":0.0011295634,"teacher_disagreement_score":0.8602569,"about_ca_system_score_codex":0.0028297456,"about_ca_system_score_gemma":0.0025177654,"threshold_uncertainty_score":0.73904085},"labels":[],"label_agreement":null},{"id":"W3209663054","doi":"10.1177/0272989x221078789","title":"Uncertainty and the Value of Information in Risk Prediction Modeling","year":2022,"lang":"en","type":"preprint","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Advancing Health Outcomes; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Bayesian probability; Econometrics; Monte Carlo method; Value of information; Context (archaeology); Sample (material); Computer science; Statistics; Geography; Economics; Mathematics; Artificial intelligence; Physics","score_opus":0.19421620862095515,"score_gpt":0.42677879443686745,"score_spread":0.2325625858159123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209663054","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017677745,0.002260993,0.97372603,0.0027388379,0.000102468635,0.0001507522,0.00014779142,0.0001422533,0.0030531136],"genre_scores_gemma":[0.6925207,0.0020674893,0.3024556,0.00082951185,0.0003319418,0.0006257762,0.00020016418,0.00012781366,0.00084106106],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9478176,0.04054952,0.0017358368,0.002656157,0.006389869,0.0008509301],"domain_scores_gemma":[0.60514796,0.372178,0.009235212,0.0068398244,0.005555289,0.0010437457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06596187,0.0020770817,0.003060564,0.004202932,0.0012816327,0.0055852327,0.0034221606,0.0033343455,0.0025247794],"category_scores_gemma":[0.24772364,0.001347021,0.0023487236,0.0025498995,0.006607009,0.008013268,0.004480251,0.005300175,0.00032291486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046377548,0.00013131273,0.009807305,0.00066345715,0.00077728764,0.00032899342,0.0006365233,0.61276525,0.0006141812,0.2787081,0.0017997036,0.093304105],"study_design_scores_gemma":[0.000046512705,0.00012462019,0.001021659,0.00035409053,0.00010116237,0.00010012377,0.000056712106,0.5142742,0.0007619994,0.48169613,0.0013716042,0.0000912374],"about_ca_topic_score_codex":0.003601799,"about_ca_topic_score_gemma":0.0020068332,"teacher_disagreement_score":0.06596187,"about_ca_system_score_codex":0.005138102,"about_ca_system_score_gemma":0.0036012237,"threshold_uncertainty_score":0.34884387},"labels":[],"label_agreement":null},{"id":"W4205116055","doi":"10.1177/0272989x211072858","title":"Prioritizing Research in an Era of Personalized Medicine: The Potential Value of Unexplained Heterogeneity","year":2022,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children; Public Health Ontario; University of Toronto","funders":"Institute of Human Development, Child and Youth Health; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Prioritization; Value (mathematics); Key (lock); Precision medicine; Personalized medicine; MEDLINE","score_opus":0.25720169022223494,"score_gpt":0.5324951527152464,"score_spread":0.27529346249301145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205116055","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09608478,0.029063893,0.6914637,0.14118408,0.0012630085,0.0013297413,0.0011753003,0.00040502445,0.0380305],"genre_scores_gemma":[0.89490896,0.0046191555,0.091811396,0.0060578957,0.0007947958,0.0006918852,0.00016106715,0.00009584145,0.00085909845],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.789304,0.18108988,0.0049630245,0.006991922,0.014590462,0.003060748],"domain_scores_gemma":[0.437088,0.5211327,0.016274778,0.016112152,0.006562758,0.0028296106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.16166857,0.0017233265,0.0034804642,0.00584013,0.0021957052,0.012922942,0.003838585,0.0048769587,0.0039302665],"category_scores_gemma":[0.30456784,0.001047657,0.0034828202,0.0056566377,0.012688201,0.012801422,0.0070286714,0.0063098306,0.0003037465],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008648664,0.00017568188,0.020096363,0.0025262642,0.0032087674,0.0006178891,0.0021047425,0.11375934,0.0007780466,0.6976584,0.006496035,0.15171364],"study_design_scores_gemma":[0.00012078556,0.00013331024,0.0027885803,0.0005657615,0.00037464447,0.00013553037,0.00047518138,0.02471468,0.00036269252,0.96514255,0.005092847,0.00009338347],"about_ca_topic_score_codex":0.005579941,"about_ca_topic_score_gemma":0.004760488,"teacher_disagreement_score":0.16166857,"about_ca_system_score_codex":0.012749532,"about_ca_system_score_gemma":0.011833048,"threshold_uncertainty_score":0.8549953},"labels":[],"label_agreement":null},{"id":"W4206334503","doi":"10.1177/0272989x211065471","title":"A Systematic Literature Review of Health Utility Values in Breast Cancer","year":2022,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact; University of Toronto; McMaster University","funders":"","keywords":"Breast cancer; Systematic review; MEDLINE; Alternative medicine; Medical literature; Cancer; Quality-adjusted life year","score_opus":0.23321755729818008,"score_gpt":0.48419020456524026,"score_spread":0.25097264726706014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206334503","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00082888216,0.9971781,0.00033139117,0.00038355056,0.00009813989,0.00036994676,0.0004908038,0.000008165609,0.0003111452],"genre_scores_gemma":[0.026093699,0.96957815,0.0018198366,0.0006783237,0.00012333826,0.0012502711,0.00036577866,0.000008007971,0.000082570245],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.97291464,0.014565388,0.0066659325,0.0012625022,0.004145891,0.00044571783],"domain_scores_gemma":[0.9025628,0.08111548,0.009754889,0.001056353,0.0050747343,0.0004357388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02537808,0.0017315355,0.008965007,0.017326307,0.0006999452,0.0035727338,0.0022338692,0.0019022403,0.004940959],"category_scores_gemma":[0.13262364,0.0011725768,0.01036189,0.018222038,0.0011574698,0.002727914,0.0020890485,0.001893625,0.00028402603],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014719836,0.000016097367,0.00091045594,0.9382885,0.011639619,0.00005616321,0.00016685818,0.00022204401,0.000038757287,0.0005254767,0.001632026,0.04635682],"study_design_scores_gemma":[0.0001719835,0.00013646143,0.00380101,0.93891317,0.044819914,0.0001993159,0.00021903892,0.00016507045,0.00006629676,0.00082992745,0.010640669,0.0000371767],"about_ca_topic_score_codex":0.010605596,"about_ca_topic_score_gemma":0.022437565,"teacher_disagreement_score":0.02537808,"about_ca_system_score_codex":0.007335861,"about_ca_system_score_gemma":0.015998678,"threshold_uncertainty_score":0.13421369},"labels":[],"label_agreement":null},{"id":"W4223569106","doi":"10.1177/0272989x221091567","title":"Author Response to “Optimal Sample Size Calculation for Clinical Research under a Budget Constraint”","year":2022,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Sample size determination; Sample (material); Clinical research; Research design; Large sample","score_opus":0.7118625322965719,"score_gpt":0.6283684702587494,"score_spread":0.0834940620378225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4223569106","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005107902,0.001344935,0.0010010786,0.8704789,0.122162536,0.00022578285,0.00096032507,0.00025468742,0.0030609353],"genre_scores_gemma":[0.004015233,0.0013036112,0.0013856331,0.8984155,0.081155755,0.000671488,0.0003365023,0.00017393843,0.012542362],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98831844,0.004936502,0.002453288,0.000964402,0.0023250568,0.0010021607],"domain_scores_gemma":[0.9076323,0.06048247,0.0043628896,0.0019874456,0.022056766,0.003478185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01261625,0.0014214213,0.0034279015,0.0018271192,0.0037382909,0.004344706,0.0022228993,0.032136593,0.030790916],"category_scores_gemma":[0.13386148,0.0017318554,0.002325948,0.001927284,0.0022187827,0.0019860722,0.0023348639,0.02440409,0.019409603],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014492437,0.0000132140185,0.00024460547,0.00018273183,0.000019906656,0.0000942195,0.000038625956,0.00010834487,0.000084221574,0.0005444245,0.9951697,0.0033549948],"study_design_scores_gemma":[0.00045508103,0.00013954347,0.0030394741,0.0013480416,0.000115145594,0.00055832666,0.00042138938,0.001389484,0.00066526455,0.0038260918,0.98790014,0.00014205641],"about_ca_topic_score_codex":0.004715801,"about_ca_topic_score_gemma":0.004691171,"teacher_disagreement_score":0.032136593,"about_ca_system_score_codex":0.0047354363,"about_ca_system_score_gemma":0.007056518,"threshold_uncertainty_score":0.103005886},"labels":[],"label_agreement":null},{"id":"W4225700113","doi":"10.1177/0272989x221089268","title":"Developing Economic Models for Assessing the Cost-Effectiveness of Multiple Diagnostic Tests: Methods and Applications","year":2022,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children; University of Toronto; Public Health Ontario","funders":"","keywords":"Computer science; Statistical hypothesis testing; Measure (data warehouse); Conditional independence; Econometrics; Data mining; Machine learning; Risk analysis (engineering); Statistics; Artificial intelligence; Mathematics; Medicine","score_opus":0.4644500495612203,"score_gpt":0.5643131345755833,"score_spread":0.09986308501436297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225700113","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004966152,0.002261673,0.9859891,0.0022054408,0.00010968933,0.000574822,0.000473712,0.00013334044,0.003286169],"genre_scores_gemma":[0.18417905,0.0073123095,0.79721147,0.000926292,0.00038500672,0.0044437386,0.0007244646,0.00023849457,0.0045791655],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9874835,0.009918485,0.00042943802,0.0006106404,0.0012111551,0.00034677697],"domain_scores_gemma":[0.9368239,0.056729052,0.002564152,0.0011105314,0.0023599176,0.00041245137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.027653875,0.0030076054,0.0024641203,0.0042282855,0.00066081865,0.0034445634,0.003966989,0.0037606787,0.007353981],"category_scores_gemma":[0.06955029,0.0014077465,0.003804785,0.004152543,0.0015698471,0.003241468,0.0021890118,0.0049474807,0.0008131667],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008539067,0.00011471935,0.0022030924,0.0005265186,0.00034595394,0.00020176872,0.00010309141,0.80179954,0.00015924759,0.15149188,0.00408041,0.03888845],"study_design_scores_gemma":[0.000050010043,0.000055795026,0.0003603868,0.00028834314,0.00012561987,0.00009500897,0.000037688158,0.8697206,0.00016945598,0.12414856,0.0049037547,0.00004484667],"about_ca_topic_score_codex":0.01053245,"about_ca_topic_score_gemma":0.0076337345,"teacher_disagreement_score":0.027653875,"about_ca_system_score_codex":0.005831869,"about_ca_system_score_gemma":0.0059298915,"threshold_uncertainty_score":0.14624941},"labels":[],"label_agreement":null},{"id":"W4229017484","doi":"10.1177/0272989x221097106","title":"Trends in Author-Reported Cost-Effectiveness Thresholds in the United States from 1995 to 2018: Implications for Discount Rates","year":2022,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Actuarial science; Economics; Quality-adjusted life year; Econometrics; Psychology; Medicine; Demography; Cost effectiveness; Operations management; Sociology","score_opus":0.4892766028035407,"score_gpt":0.5402100220425117,"score_spread":0.05093341923897099,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229017484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70970255,0.10647487,0.04122589,0.026937248,0.0021393655,0.00057126104,0.077892266,0.00047305165,0.0345835],"genre_scores_gemma":[0.95992696,0.011376059,0.010728235,0.002420679,0.00038101533,0.00037301882,0.013784664,0.00014279725,0.0008665697],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9624693,0.013934728,0.0113401,0.0031158954,0.008262634,0.00087738043],"domain_scores_gemma":[0.6826515,0.16710243,0.08823578,0.012051243,0.048091147,0.0018679406],"candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.054718107,0.00035730805,0.00060133997,0.006664631,0.00023957719,0.0037804113,0.0010724417,0.0006126699,0.0017672443],"category_scores_gemma":[0.3209197,0.00040868798,0.0015561722,0.009504274,0.0005748714,0.0030941747,0.0009185532,0.0018356765,0.000432469],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013111942,0.00010897088,0.7869582,0.002606507,0.0025717425,0.00019698743,0.0018046896,0.00606635,0.00037452052,0.010891755,0.031394344,0.15571474],"study_design_scores_gemma":[0.00015291836,0.00024807092,0.9079828,0.004886393,0.0014780746,0.0010558933,0.001481906,0.008829683,0.0029943506,0.006812436,0.06383098,0.0002465278],"about_ca_topic_score_codex":0.0140389465,"about_ca_topic_score_gemma":0.011177477,"teacher_disagreement_score":0.99333537,"about_ca_system_score_codex":0.003788933,"about_ca_system_score_gemma":0.0020225402,"threshold_uncertainty_score":0.2893805},"labels":[],"label_agreement":null},{"id":"W4235755648","doi":"10.1177/0272989x11393284","title":"Calculating Utility Decrements Associated With an Adverse Event: Marginal Tobit and CLAD Coefficients Should Be Used With Caution","year":2011,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Nuclear reactor physics and engineering","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Programs for Assessment of Technology in Health Research Institute; McMaster University; St. Joseph’s Healthcare Hamilton","funders":"","keywords":"Tobit model; Econometrics; Event (particle physics); Statistics; Adverse effect; Medicine; Actuarial science; Economics; Mathematics; Internal medicine","score_opus":0.046465737371244306,"score_gpt":0.27336339965056133,"score_spread":0.22689766227931701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235755648","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0662974,0.009383136,0.88306665,0.011562877,0.0026244628,0.0011563615,0.004504573,0.0010354872,0.020369036],"genre_scores_gemma":[0.62092245,0.0040211333,0.3574319,0.003362597,0.00033780266,0.003600082,0.0027636068,0.0006885209,0.0068718106],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.92499655,0.062241193,0.004398124,0.0022665893,0.0054608784,0.00063654216],"domain_scores_gemma":[0.8277397,0.1351162,0.010308403,0.014362081,0.011897361,0.00057621463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06976422,0.0014120081,0.0020428337,0.0031615065,0.00067063107,0.004233149,0.0026122662,0.0014075013,0.012628076],"category_scores_gemma":[0.29769212,0.00091630936,0.0027765594,0.0066878037,0.001977632,0.003339582,0.0026828847,0.006353788,0.0024232296],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014629123,0.00023128088,0.16597691,0.0055342996,0.0034454702,0.0009985346,0.004524718,0.024909755,0.0009939155,0.14424941,0.08179511,0.5658777],"study_design_scores_gemma":[0.00033980786,0.0012460342,0.14405738,0.008711431,0.002002905,0.0038211618,0.0042115483,0.14495412,0.009245357,0.4636549,0.21709362,0.0006617249],"about_ca_topic_score_codex":0.0047763013,"about_ca_topic_score_gemma":0.00437374,"teacher_disagreement_score":0.06976422,"about_ca_system_score_codex":0.0018653781,"about_ca_system_score_gemma":0.002023942,"threshold_uncertainty_score":0.36895287},"labels":[],"label_agreement":null},{"id":"W4240903860","doi":"10.1177/0272989x0002000314","title":"In reply","year":2000,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Medicine; Psychology","score_opus":0.1998691739961063,"score_gpt":0.5038477459426589,"score_spread":0.30397857194655264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240903860","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002762551,0.0010611009,0.0001035207,0.8231406,0.17129222,0.000041686573,0.0001414306,0.000053505028,0.003889689],"genre_scores_gemma":[0.0013264111,0.00046514187,0.000098570694,0.94381744,0.039314933,0.000068145084,0.00004380886,0.000024713843,0.014840706],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9942538,0.0013096073,0.00070225896,0.0007937207,0.0018818444,0.0010587554],"domain_scores_gemma":[0.9765311,0.012655665,0.0014483683,0.00082967133,0.005627831,0.002907421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058777547,0.0011250982,0.0016249624,0.0015550569,0.004992554,0.0075291116,0.0033110376,0.04892969,0.040575784],"category_scores_gemma":[0.059429258,0.0011163763,0.0018458414,0.001004368,0.0026800295,0.003703792,0.0037012063,0.0410793,0.022192892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025988467,0.00000823251,0.0001965232,0.00003641844,0.000010946923,0.00020695038,0.000056975223,0.000009194948,0.000044608976,0.0004663174,0.9974045,0.0015332736],"study_design_scores_gemma":[0.000082012404,0.000026646638,0.0014196233,0.00019957534,0.000052268897,0.00038202578,0.00050844817,0.000090992326,0.00021313559,0.0015959002,0.9953786,0.000050765408],"about_ca_topic_score_codex":0.006190314,"about_ca_topic_score_gemma":0.009710287,"teacher_disagreement_score":0.04892969,"about_ca_system_score_codex":0.0049285404,"about_ca_system_score_gemma":0.005575905,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4244401570","doi":"10.1177/0272989x16682012","title":"38th Annual Meeting of the Society for Medical Decision Making","year":2016,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medical decision making; Management science; Computer science; Operations research; Medicine; Family medicine; Economics; Mathematics","score_opus":0.19778335142073666,"score_gpt":0.4563976460414733,"score_spread":0.25861429462073665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244401570","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029319874,0.05842232,0.021769674,0.24009453,0.1311465,0.00079093967,0.0060244584,0.0008989888,0.5379206],"genre_scores_gemma":[0.038101252,0.047217984,0.017310966,0.015642863,0.049047515,0.00086157874,0.0045831054,0.0005753118,0.8266595],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99432254,0.0016630365,0.00073215144,0.0005587788,0.0022198413,0.00050358556],"domain_scores_gemma":[0.9835307,0.0033110327,0.000966681,0.0015296165,0.007271709,0.003390243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0092023155,0.0016247876,0.0013471588,0.0021868162,0.001217441,0.0055748606,0.0014074738,0.0041645174,0.26317504],"category_scores_gemma":[0.028128445,0.00050850294,0.0008877292,0.0012251204,0.0013322359,0.0020708742,0.0037262642,0.0049497867,0.12225151],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008777211,0.00003960691,0.0005714508,0.00024441344,0.000032650707,0.00010562185,0.00007202689,0.00029544724,0.0002997412,0.008880997,0.8346387,0.15473162],"study_design_scores_gemma":[0.000013849368,0.000017497028,0.00040337167,0.0003843257,0.000007975003,0.00011146905,0.00004035613,0.00034025416,0.00010565652,0.0048848116,0.9936784,0.000012041493],"about_ca_topic_score_codex":0.0027326387,"about_ca_topic_score_gemma":0.0038253667,"teacher_disagreement_score":0.26317504,"about_ca_system_score_codex":0.0022535685,"about_ca_system_score_gemma":0.008560872,"threshold_uncertainty_score":0.8804082},"labels":[],"label_agreement":null},{"id":"W4246414783","doi":"10.1177/02729890122062451","title":"Risk-Adjusted Monitoring of Binary Surgical Outcomes","year":2001,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Medical Research Council; Natural Sciences and Engineering Research Council of Canada; Medical Research Council Canada","keywords":"Medicine","score_opus":0.030931835879935296,"score_gpt":0.3506340975862551,"score_spread":0.31970226170631977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246414783","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05231196,0.00039915513,0.93540454,0.000849681,0.0002089301,0.0005096831,0.0031870971,0.0042478843,0.002880997],"genre_scores_gemma":[0.48943228,0.0002161924,0.50661147,0.00021379202,0.00014827275,0.0006707681,0.0016572523,0.0001681117,0.00088196533],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9927925,0.0047309613,0.0005971608,0.0007077795,0.0009939922,0.00017754477],"domain_scores_gemma":[0.98022413,0.009066853,0.004863614,0.0033082813,0.0021016668,0.0004354268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008423481,0.00072299445,0.0007205898,0.0033423987,0.00027309736,0.0014596796,0.0012152086,0.0005410814,0.002420192],"category_scores_gemma":[0.051850814,0.0002634045,0.0007258139,0.0021834113,0.00037209474,0.0008820662,0.00086341816,0.00083561166,0.0004460223],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00252894,0.00029431283,0.2453894,0.0003929656,0.0008257038,0.00035404885,0.00035940896,0.037466757,0.0068064826,0.032313056,0.0099995965,0.66326934],"study_design_scores_gemma":[0.0005307372,0.003986051,0.2579492,0.00019747255,0.00087109994,0.0030425766,0.00019800282,0.63482577,0.022001207,0.052566245,0.0232862,0.00054543314],"about_ca_topic_score_codex":0.0023350692,"about_ca_topic_score_gemma":0.002118375,"teacher_disagreement_score":0.008423481,"about_ca_system_score_codex":0.00043771646,"about_ca_system_score_gemma":0.00091350364,"threshold_uncertainty_score":0.044548154},"labels":[],"label_agreement":null},{"id":"W4280622755","doi":"10.1177/0272989x221099493","title":"Noninferiority Margin Size and Acceptance of Trial Results: Contingent Valuation Survey of Clinician Preferences for Noninferior Mortality","year":2022,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; McMaster University; McGill University; Children's Hospital of Eastern Ontario; Health Sciences Centre; BC Children's Hospital; University of Toronto; Sunnybrook Health Science Centre; University of British Columbia; Public Health Ontario; Université de Montréal; Hospital for Sick Children","funders":"","keywords":"Contingent valuation; Margin (machine learning); Actuarial science; Valuation (finance); Medicine; Psychology; Statistics; Economics; Willingness to pay; Computer science; Accounting; Mathematics; Microeconomics","score_opus":0.6880218127831303,"score_gpt":0.6223625294813742,"score_spread":0.06565928330175619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280622755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99663854,0.00011533016,0.0016267308,0.00038023238,0.000008089722,0.0003866644,0.00011794044,0.0000067824158,0.0007196314],"genre_scores_gemma":[0.9977664,0.000067089524,0.0015696699,0.00019998883,0.000013213723,0.00028649264,0.00004584105,0.0000021210599,0.000049270122],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.88753784,0.09730528,0.006056379,0.0019569115,0.005689436,0.0014541353],"domain_scores_gemma":[0.5907552,0.27072248,0.111307755,0.012196683,0.009641945,0.005375889],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.08621318,0.0003767697,0.00043513192,0.0010152579,0.00048591342,0.0014914356,0.00052218477,0.0013092428,0.002604773],"category_scores_gemma":[0.22395487,0.00043202404,0.0008874992,0.000883947,0.0014852519,0.0013582464,0.00096985174,0.0017101754,0.00036742314],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028819921,0.0013798187,0.96076596,0.00029961817,0.0003890263,0.00019856448,0.006162623,0.001591396,0.0012026111,0.00054472423,0.00077695964,0.023806639],"study_design_scores_gemma":[0.00035053788,0.007283002,0.97090924,0.0002382136,0.00015892071,0.0005373599,0.005111079,0.011053131,0.0016010485,0.001002148,0.0016273187,0.00012800706],"about_ca_topic_score_codex":0.0012196469,"about_ca_topic_score_gemma":0.00085870625,"teacher_disagreement_score":0.9137868,"about_ca_system_score_codex":0.0011624009,"about_ca_system_score_gemma":0.0012747336,"threshold_uncertainty_score":0.4559443},"labels":[],"label_agreement":null},{"id":"W4282927183","doi":"10.1177/0272989x221100717","title":"A Machine-Learning Approach for Estimating Subgroup- and Individual-Level Treatment Effects: An Illustration Using the 65 Trial","year":2022,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"Health Technology Assessment Programme; Medical Research Council; National Institute for Health and Care Research","keywords":"Covariate; Overfitting; Medicine; Parametric statistics; Causal inference; Subgroup analysis; Machine learning; Confidence interval; Econometrics; Statistics; Computer science; Mathematics; Internal medicine","score_opus":0.32824647215952396,"score_gpt":0.4587967880202238,"score_spread":0.13055031586069982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282927183","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07517216,0.010161548,0.8709968,0.020739919,0.00084494107,0.0032290714,0.0043276395,0.00086510036,0.013662752],"genre_scores_gemma":[0.5814778,0.0023736644,0.40329129,0.0040415553,0.00043572814,0.0050017997,0.001244956,0.00011230981,0.0020209386],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.94235724,0.053566623,0.0012108455,0.0010395262,0.0015087292,0.0003169568],"domain_scores_gemma":[0.92131853,0.07282993,0.0017076549,0.0025602614,0.0013457151,0.00023790487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.059684027,0.00086669176,0.00194983,0.0012645435,0.00055972935,0.001529125,0.0013750782,0.0022366492,0.004536211],"category_scores_gemma":[0.121413864,0.00032589753,0.004168647,0.0019167792,0.0008993093,0.0013831833,0.001188361,0.003061016,0.00041780755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.012150814,0.0005821262,0.025242558,0.003468493,0.0062539782,0.0010815555,0.0010185391,0.26715857,0.0009867478,0.12889686,0.025685497,0.5274742],"study_design_scores_gemma":[0.0074562104,0.0022124217,0.011232973,0.0012976124,0.0030202202,0.00067841413,0.00023662015,0.66133416,0.0010359108,0.27859622,0.03268481,0.00021438772],"about_ca_topic_score_codex":0.006037782,"about_ca_topic_score_gemma":0.004939546,"teacher_disagreement_score":0.059684027,"about_ca_system_score_codex":0.0010771095,"about_ca_system_score_gemma":0.0029215978,"threshold_uncertainty_score":0.31564307},"labels":[],"label_agreement":null},{"id":"W4294578992","doi":"10.1177/0272989x221121343","title":"The Fallacy of a Single Diagnosis","year":2022,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Clinical Reasoning and Diagnostic Skills","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; University of Toronto; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Alfred P. Sloan Foundation","keywords":"Fallacy; Medicine; Single use; Intensive care medicine; Psychology; Computer science; Epistemology; Philosophy; Engineering","score_opus":0.03809602560556307,"score_gpt":0.37673629229054345,"score_spread":0.3386402666849804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294578992","genre_codex":"empirical","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61155653,0.012864937,0.22010207,0.11216817,0.0017644607,0.001961868,0.0021440007,0.00051131693,0.036926728],"genre_scores_gemma":[0.9607453,0.0008523049,0.031618584,0.005654704,0.00033322483,0.0004036872,0.0001996427,0.000022998058,0.00016953865],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.59427327,0.3261766,0.018879786,0.025197655,0.032946914,0.0025258202],"domain_scores_gemma":[0.19400242,0.71858615,0.052711718,0.02444944,0.00836367,0.0018866262],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.25889724,0.0010739838,0.0016418173,0.0034082136,0.0019609157,0.0049269455,0.003471725,0.005131596,0.0065220944],"category_scores_gemma":[0.68768746,0.0010433721,0.002407947,0.0019112581,0.015727859,0.008887658,0.005095371,0.005089909,0.0006877843],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.014396239,0.0009029048,0.36699727,0.0067381635,0.004352829,0.003376638,0.020198409,0.024199478,0.0017882622,0.17437494,0.018222738,0.36445224],"study_design_scores_gemma":[0.0014432328,0.0027887307,0.05165547,0.009779121,0.0020333405,0.008253538,0.0075197523,0.06555122,0.0048625073,0.81932616,0.026370239,0.0004166819],"about_ca_topic_score_codex":0.0026567236,"about_ca_topic_score_gemma":0.0010265078,"teacher_disagreement_score":0.25889724,"about_ca_system_score_codex":0.005049473,"about_ca_system_score_gemma":0.0039484757,"threshold_uncertainty_score":0.91391164},"labels":[],"label_agreement":null},{"id":"W4311021019","doi":"10.1177/0272989x221140803","title":"The Naturalness Bias Influences Drug and Vaccine Decisions across Cultures","year":2022,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Psychology of Moral and Emotional Judgment","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"","keywords":"Naturalness; Context (archaeology); Medicine; Psychology; Biology","score_opus":0.10140468805260669,"score_gpt":0.3868197453188923,"score_spread":0.2854150572662856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311021019","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959715,0.00023075502,0.00021062727,0.00016544515,0.000020282085,0.000021164034,0.000037680285,0.0000015006009,0.003341048],"genre_scores_gemma":[0.9991831,0.00012911893,0.00021356108,0.00017028864,0.000004536879,0.000016307325,0.000030704337,0.000003515276,0.00024880705],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99413824,0.003261631,0.0003704688,0.0006244401,0.0011393495,0.00046583073],"domain_scores_gemma":[0.9873166,0.005867334,0.0024509076,0.0011774385,0.0023129915,0.0008747343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0064820545,0.00031613567,0.00036112464,0.00059905805,0.0023972301,0.002604675,0.00046166193,0.0005966554,0.003672771],"category_scores_gemma":[0.019651959,0.0003033957,0.00055119157,0.00059600576,0.002500851,0.001053894,0.001333104,0.0009851927,0.0002357626],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014303267,0.00050673634,0.78096735,0.0003484683,0.000635434,0.0006691121,0.17257053,0.0003340235,0.0049475264,0.0030579835,0.0014406914,0.033091754],"study_design_scores_gemma":[0.00011984832,0.00040679297,0.8716144,0.0004547429,0.00036405376,0.0005528845,0.1131888,0.0010714143,0.0028266048,0.0033195065,0.0059072403,0.00017359213],"about_ca_topic_score_codex":0.07451869,"about_ca_topic_score_gemma":0.086263716,"teacher_disagreement_score":0.07451869,"about_ca_system_score_codex":0.0013475996,"about_ca_system_score_gemma":0.001873529,"threshold_uncertainty_score":0.14816988},"labels":[],"label_agreement":null},{"id":"W4312129922","doi":"10.1177/0272989x221145048","title":"A Comparison of Ordered Categorical versus Discrete Choices within a Stated Preference Survey of Whole-Blood Donors","year":2022,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institute for Health and Care Research","keywords":"Categorical variable; Preference; Blood donor; Discrete choice; Donation; Value (mathematics); Econometrics; Social psychology; Actuarial science; Psychology; Statistics; Economics; Mathematics; Medicine","score_opus":0.25853949112003316,"score_gpt":0.3382689019496059,"score_spread":0.07972941082957274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312129922","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.986955,0.00014696638,0.010609863,0.00015187473,0.000015634296,0.00014482207,0.0002929523,0.000008448117,0.0016744176],"genre_scores_gemma":[0.9903059,0.00010090108,0.00823118,0.00019682245,0.0000125116485,0.00037041263,0.00040616625,0.000004936106,0.00037119893],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9117303,0.07856867,0.0021810208,0.00229913,0.004484803,0.00073609455],"domain_scores_gemma":[0.81457734,0.1612095,0.011240468,0.0076047387,0.0043570353,0.0010109313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.055407863,0.00047393495,0.000696619,0.0010632738,0.0005695069,0.0016714919,0.00080254424,0.0012062048,0.0032854243],"category_scores_gemma":[0.13836515,0.00038721893,0.0014371434,0.0016282736,0.0012669723,0.0018463166,0.0012192851,0.0013397079,0.00034254856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.021080902,0.004213296,0.6906436,0.00223288,0.004470829,0.00037100117,0.023626957,0.018032232,0.009704911,0.026603024,0.001783622,0.19723664],"study_design_scores_gemma":[0.0009117787,0.01872887,0.8532664,0.00064135337,0.0008831795,0.0007610862,0.02228149,0.05446066,0.007873558,0.03153107,0.008090236,0.00057032384],"about_ca_topic_score_codex":0.0015019443,"about_ca_topic_score_gemma":0.0015892506,"teacher_disagreement_score":0.055407863,"about_ca_system_score_codex":0.0008586789,"about_ca_system_score_gemma":0.00061419734,"threshold_uncertainty_score":0.2930283},"labels":[],"label_agreement":null},{"id":"W4313236587","doi":"10.1177/0272989x221146506","title":"Evaluating the Impact and Potential Impact of Machine Learning on Medical Decision Making","year":2022,"lang":"en","type":"editorial","venue":"Medical Decision Making","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Medical decision making; Computer science; Economic impact analysis; Impact assessment; Machine learning; Artificial intelligence; Management science; Risk analysis (engineering); Medicine; Engineering; Medical emergency; Political science","score_opus":0.12859560589951846,"score_gpt":0.5519003418460754,"score_spread":0.42330473594655693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313236587","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00008268375,0.011566405,0.00024692484,0.04925466,0.93725514,0.000031401923,0.00007694408,0.000028973536,0.001456808],"genre_scores_gemma":[0.0014746814,0.008709196,0.00041770603,0.018805739,0.9665832,0.00004427995,0.000032124946,0.00003574475,0.0038973547],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.983772,0.005141977,0.0018301592,0.00091048726,0.007923279,0.00042201462],"domain_scores_gemma":[0.7780898,0.16010377,0.003897244,0.0025727847,0.05035669,0.004979776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.028114296,0.0029411693,0.00374031,0.0048119966,0.0030547145,0.011810849,0.004290666,0.017841041,0.009251172],"category_scores_gemma":[0.13008493,0.0010794644,0.002731251,0.002992971,0.004927991,0.004299751,0.001378232,0.02204796,0.0034809804],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011466654,0.000030378336,0.00008162814,0.00069096475,0.00012081576,0.00009370707,0.000022138278,0.0001230927,0.00004281185,0.0012350027,0.9858666,0.011578122],"study_design_scores_gemma":[0.0006002912,0.00017866834,0.0014574443,0.0043671844,0.00087885873,0.00039495877,0.00018171749,0.0021945408,0.00051552855,0.015084363,0.97402656,0.00011984888],"about_ca_topic_score_codex":0.005385796,"about_ca_topic_score_gemma":0.0112305265,"teacher_disagreement_score":0.028114296,"about_ca_system_score_codex":0.0053793527,"about_ca_system_score_gemma":0.006260862,"threshold_uncertainty_score":0.14868444},"labels":[],"label_agreement":null},{"id":"W4323036834","doi":"10.1177/0272989x231159381","title":"Efficient Designs for Valuation Studies That Use Time Tradeoff (TTO) Tasks to Map Latent Utilities from Discrete Choice Experiments to the Interval Scale: Selection of Health States for TTO Tasks","year":2023,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children","funders":"EuroQol Research Foundation","keywords":"Valuation (finance); Econometrics; Statistics; Time-trade-off; Scale (ratio); Computer science; Mathematics; Economics; Psychology","score_opus":0.6200249976242158,"score_gpt":0.5267580317199398,"score_spread":0.09326696590427597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323036834","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.049728483,0.0003145126,0.93652844,0.00034165347,0.00013269419,0.009603375,0.00047139204,0.00025542837,0.0026240123],"genre_scores_gemma":[0.24930717,0.00024413265,0.7051832,0.00030000665,0.000049519815,0.04370434,0.00036027055,0.000051891424,0.0007994072],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.86848634,0.12030492,0.0028896043,0.004302893,0.0031350357,0.0008812093],"domain_scores_gemma":[0.678424,0.27638128,0.020956721,0.018343704,0.0046475893,0.0012466903],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1221963,0.0019313489,0.0025129917,0.0016449593,0.0006206497,0.00247896,0.0024996486,0.0024157073,0.009107309],"category_scores_gemma":[0.2659584,0.0016952432,0.003351148,0.00166564,0.0026890032,0.0033157712,0.0037419877,0.0038473362,0.00091421686],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.017229468,0.0049653105,0.022666745,0.004615636,0.0034332518,0.000394124,0.0022727363,0.32718015,0.007053837,0.29146975,0.004042436,0.31467652],"study_design_scores_gemma":[0.011043589,0.013891718,0.0144388275,0.0008337,0.0011720782,0.00017320516,0.00040872404,0.55423784,0.0068431264,0.3865753,0.010069312,0.00031247444],"about_ca_topic_score_codex":0.0007770809,"about_ca_topic_score_gemma":0.0007742624,"teacher_disagreement_score":0.8778037,"about_ca_system_score_codex":0.002440311,"about_ca_system_score_gemma":0.0032941175,"threshold_uncertainty_score":0.6462436},"labels":[],"label_agreement":null},{"id":"W4361002668","doi":"10.1177/0272989x231162069","title":"General-Purpose Methods for Simulating Survival Data for Expected Value of Sample Information Calculations","year":2023,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children; Public Health Ontario; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Norges Forskningsråd; Medical Research Council; NordForsk; National Institute for Health and Care Research","keywords":"Quantile; Probabilistic logic; Sampling (signal processing); Computer science; Sample size determination; Sample (material); Statistics; Parametric statistics; Survival function; Mathematical optimization; Mathematics; Econometrics; Algorithm; Survival analysis","score_opus":0.32096188952517984,"score_gpt":0.5644152090591844,"score_spread":0.24345331953400456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361002668","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012077458,0.000057257952,0.9978988,0.000037892256,0.000017969585,0.000060465492,0.00005099777,0.0002773244,0.00039150767],"genre_scores_gemma":[0.0663542,0.00026549786,0.9304259,0.000118285214,0.000058393158,0.0008481844,0.0003608404,0.0003214478,0.0012473321],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969379,0.0019681614,0.00016003105,0.00024314014,0.00058537035,0.000105379375],"domain_scores_gemma":[0.97847456,0.016671162,0.0010342188,0.0014933605,0.0020338977,0.000292751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007643078,0.0011482434,0.0010609905,0.0014138753,0.00054786034,0.0011510903,0.0032875703,0.0014406322,0.008080163],"category_scores_gemma":[0.031029679,0.0008444963,0.0018727899,0.0012353155,0.0010743738,0.0011369323,0.0016516077,0.0025290812,0.0014312406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012733896,0.00008115545,0.0023600785,0.0003537278,0.000114581846,0.00015992385,0.0002208208,0.8431472,0.001500668,0.07745333,0.0027056974,0.07177545],"study_design_scores_gemma":[0.000029287257,0.000024810419,0.00014417796,0.00003357013,0.000015586775,0.000049958133,0.000013947639,0.9766714,0.0006350523,0.020169273,0.0022007462,0.0000121838075],"about_ca_topic_score_codex":0.0046699806,"about_ca_topic_score_gemma":0.003861305,"teacher_disagreement_score":0.008080163,"about_ca_system_score_codex":0.0012594075,"about_ca_system_score_gemma":0.002061155,"threshold_uncertainty_score":0.04042095},"labels":[],"label_agreement":null},{"id":"W4377011008","doi":"10.1177/0272989x231171912","title":"Comparison of Preferences and Data Quality between Discrete Choice Experiments Conducted in Online and Face-to-Face Respondents","year":2023,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children","funders":"EuroQol Research Foundation; Bristol-Myers Squibb","keywords":"Respondent; Multinomial logistic regression; Comparability; EQ-5D; Statistics; Computer science; Psychology; Medicine; Mathematics; Health related quality of life","score_opus":0.5425458878616087,"score_gpt":0.4799996421422702,"score_spread":0.06254624571933853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377011008","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9447464,0.00032116086,0.044379752,0.0002461092,0.00016306323,0.005637984,0.0007829178,0.00014090631,0.0035817355],"genre_scores_gemma":[0.9475247,0.00012690456,0.03411306,0.0003985362,0.00008931305,0.01630488,0.0006226861,0.000056804347,0.0007629801],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.7943971,0.17174922,0.012539654,0.0075605446,0.0121679185,0.0015855721],"domain_scores_gemma":[0.398369,0.53694147,0.026886376,0.025407517,0.010860322,0.0015352586],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.16289493,0.0005999983,0.0013139478,0.0013047644,0.00065385696,0.0021279997,0.0010016297,0.0012282687,0.0043487446],"category_scores_gemma":[0.28750932,0.00047253293,0.0017879426,0.0013523394,0.0023500368,0.0017348083,0.0018487066,0.00090108265,0.0004738559],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.15253775,0.020545678,0.408271,0.0049739173,0.0066415127,0.00035132427,0.021763965,0.013918305,0.02767804,0.009873324,0.0032316577,0.33021355],"study_design_scores_gemma":[0.012512109,0.10484438,0.76028657,0.0011258263,0.0016778144,0.00048891903,0.006260874,0.043206368,0.034793478,0.020468416,0.01374284,0.0005925792],"about_ca_topic_score_codex":0.0003538666,"about_ca_topic_score_gemma":0.00032555035,"teacher_disagreement_score":0.83710504,"about_ca_system_score_codex":0.00093983195,"about_ca_system_score_gemma":0.0007516093,"threshold_uncertainty_score":0.8614811},"labels":[],"label_agreement":null},{"id":"W4378515301","doi":"10.1177/0272989x231173699","title":"Bayesian Models with Spatial Correlation Improve the Precision of EQ-5D-5L Value Sets","year":2023,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; Institute for Clinical Evaluative Sciences; Impact; Saint Mary's University; McMaster University","funders":"","keywords":"Bayesian probability; Econometrics; Correlation; Statistics; Bayesian inference; Spatial correlation; Valuation (finance); Mean squared error; Mathematics; Economics","score_opus":0.23585982120301197,"score_gpt":0.41043182593888117,"score_spread":0.1745720047358692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378515301","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3467598,0.007093078,0.62934643,0.0035859074,0.00033377297,0.00031655133,0.00286621,0.0012593963,0.008438845],"genre_scores_gemma":[0.9430731,0.00084801804,0.05258272,0.0006746529,0.00013496223,0.00014124754,0.0016976261,0.00015045534,0.0006973009],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9573726,0.032137427,0.0020242105,0.0057005575,0.0021938856,0.00057132135],"domain_scores_gemma":[0.7207776,0.24749045,0.011973583,0.013892209,0.0053330236,0.0005332215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07140747,0.0020562627,0.00268964,0.0023416146,0.00093925814,0.0040290686,0.0022743845,0.0026052475,0.002215485],"category_scores_gemma":[0.20326704,0.0016288311,0.005195149,0.0026610973,0.0016743755,0.0052425903,0.003266201,0.003751958,0.00059360574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008209781,0.00018714888,0.09766608,0.00057837216,0.0038895395,0.00022801022,0.0007752247,0.7991206,0.000447043,0.014969748,0.0036630498,0.07765426],"study_design_scores_gemma":[0.0003093222,0.00035745182,0.03158472,0.0006409635,0.0014696532,0.00015282449,0.00017590477,0.90458876,0.0008422326,0.05546776,0.0042426847,0.00016775445],"about_ca_topic_score_codex":0.022028593,"about_ca_topic_score_gemma":0.014432027,"teacher_disagreement_score":0.07140747,"about_ca_system_score_codex":0.0021189041,"about_ca_system_score_gemma":0.0026511236,"threshold_uncertainty_score":0.3776433},"labels":[],"label_agreement":null},{"id":"W4379197079","doi":"10.1177/0272989x231171166","title":"Closed-Form Solution of the Unit Normal Loss Integral in 2 Dimensions, with Application in Value-of-Information Analysis","year":2023,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Advancing Health Outcomes; University of British Columbia","funders":"Institute of Circulatory and Respiratory Health; Faculty of Pharmaceutical Sciences, University of British Columbia; British Columbia Lung Association; Genome British Columbia; Canadian Lung Association; AstraZeneca Canada; Reseau canadien de recherche respiratoire; Canadian Thoracic Society; Canadian Institutes of Health Research; Genome Canada; GlaxoSmithKline; AstraZeneca","keywords":"Computer science; Computation; Closed-form expression; Dimension (graph theory); Mathematical optimization; Fraction (chemistry); Monte Carlo method; Scalar (mathematics); Algorithm; Applied mathematics; Mathematics; Statistics","score_opus":0.12599576749446828,"score_gpt":0.41230982065439925,"score_spread":0.28631405315993097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379197079","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034312257,0.0014158228,0.98669016,0.0007137259,0.000102066275,0.00012629214,0.00034302197,0.00028036995,0.0068973205],"genre_scores_gemma":[0.18801022,0.002701987,0.7885885,0.0012135344,0.00027802342,0.001520716,0.0012386501,0.0010711498,0.015377241],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9961125,0.0016012174,0.00023685534,0.00048326646,0.0012310573,0.0003351255],"domain_scores_gemma":[0.9837496,0.012957945,0.0006414794,0.0006253262,0.0017839301,0.00024174408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008996811,0.0016693544,0.001836761,0.0018537078,0.0005655225,0.0036373513,0.0017014747,0.0024070756,0.017239869],"category_scores_gemma":[0.041367754,0.0009521741,0.0019710117,0.0014596948,0.0017982012,0.0028020514,0.0028761495,0.0036947902,0.0024449667],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013719857,0.00013838848,0.0017299632,0.0007430797,0.00016292142,0.00043249805,0.00028492016,0.5867914,0.0014774663,0.3132885,0.016043773,0.07876992],"study_design_scores_gemma":[0.00003644037,0.000035005713,0.00032835078,0.00017244685,0.0000347332,0.00020122105,0.00006358157,0.83062303,0.000595534,0.16029483,0.0075846994,0.00003017563],"about_ca_topic_score_codex":0.006049277,"about_ca_topic_score_gemma":0.005180069,"teacher_disagreement_score":0.017239869,"about_ca_system_score_codex":0.0025939657,"about_ca_system_score_gemma":0.004917984,"threshold_uncertainty_score":0.057673097},"labels":[],"label_agreement":null},{"id":"W4381598380","doi":"10.1177/0272989x231178317","title":"Value-of-Information Analysis for External Validation of Risk Prediction Models","year":2023,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Cancer Institute; Canadian Institutes of Health Research; National Institutes of Health; Memorial Sloan-Kettering Cancer Center","keywords":"False positive paradox; Population; Computation; Value of information; Econometrics; Computer science; Medicine; Algorithm; Mathematics; Machine learning; Artificial intelligence","score_opus":0.2832958129662357,"score_gpt":0.4518197556432132,"score_spread":0.1685239426769775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381598380","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02365744,0.0011973998,0.9712894,0.0005207025,0.00008557663,0.0004144489,0.00035537838,0.00043894086,0.0020406642],"genre_scores_gemma":[0.6051905,0.0006895598,0.39018765,0.00041545107,0.00020011463,0.001545413,0.0010110536,0.00028532464,0.0004749324],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.8955767,0.08459447,0.003498146,0.0040811813,0.011505683,0.0007438478],"domain_scores_gemma":[0.34349668,0.60571426,0.017909514,0.021713661,0.01008681,0.0010791362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1575073,0.0027014075,0.0030166812,0.00740668,0.0013006422,0.0037441251,0.0035788843,0.0029108329,0.0024941973],"category_scores_gemma":[0.4464331,0.0012214693,0.0038018583,0.0040139593,0.005143301,0.003913305,0.0041897553,0.005641882,0.00039262223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010836262,0.00041262835,0.064553574,0.0018234766,0.003774134,0.0006297757,0.0008177322,0.61292744,0.0017539138,0.13878188,0.004142882,0.16929884],"study_design_scores_gemma":[0.000066099165,0.00034980197,0.0042051864,0.00035629253,0.00017527124,0.0001259406,0.00006816662,0.91077346,0.0014698148,0.08084944,0.0014878908,0.00007267442],"about_ca_topic_score_codex":0.0027808878,"about_ca_topic_score_gemma":0.0014809924,"teacher_disagreement_score":0.1575073,"about_ca_system_score_codex":0.0036803794,"about_ca_system_score_gemma":0.004173085,"threshold_uncertainty_score":0.83298814},"labels":[],"label_agreement":null},{"id":"W4383709926","doi":"10.1177/0272989x231182436","title":"Shared Decision Making for Elective Surgical Procedures in Older Adults with and without Cognitive Insufficiencies","year":2023,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Agency for Healthcare Research and Quality","keywords":"Regret; Cognition; Montreal Cognitive Assessment; Medicine; Scale (ratio); Cognitive test; Physical therapy; Cognitive impairment; Psychiatry","score_opus":0.11132517919390728,"score_gpt":0.46149652197940094,"score_spread":0.35017134278549367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383709926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999345,0.00025170075,0.00004954566,0.00006014874,0.0000044476596,0.000010121894,0.000034877517,0.000001425622,0.00024272376],"genre_scores_gemma":[0.9996112,0.00010515601,0.0001176782,0.000044269356,0.000008213934,0.000006701103,0.00004747493,3.1749957e-7,0.000059030564],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9990783,0.00031377526,0.00017896561,0.00009304859,0.00019450374,0.00014144457],"domain_scores_gemma":[0.9949463,0.0011318099,0.002769758,0.00014702821,0.00035511184,0.00065010466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014915165,0.00028261897,0.00035084056,0.0006736562,0.00046040418,0.00063854846,0.00017031745,0.0003708072,0.0013782496],"category_scores_gemma":[0.012374119,0.00011430688,0.00047701967,0.00036902528,0.0003078311,0.00064325816,0.000698251,0.00046289447,0.00013865477],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039798758,0.0002313006,0.97967815,0.00007601038,0.00008865875,0.00019104742,0.0013538568,0.00013912909,0.00021273241,0.000051491264,0.00019534685,0.01738407],"study_design_scores_gemma":[0.000074136515,0.0014867686,0.99234396,0.00008714007,0.00006156985,0.0008453048,0.0025648358,0.0013139037,0.00019106633,0.00046262066,0.00055141165,0.000017451048],"about_ca_topic_score_codex":0.0026557609,"about_ca_topic_score_gemma":0.0046728384,"teacher_disagreement_score":0.0026557609,"about_ca_system_score_codex":0.0003745922,"about_ca_system_score_gemma":0.00059865793,"threshold_uncertainty_score":0.0078879595},"labels":[],"label_agreement":null},{"id":"W4385064319","doi":"10.1177/0272989x231188027","title":"Constrained Optimization for Decision Making in Health Care Using Python: A Tutorial","year":2023,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Michael's Hospital; Queen's University; University of Toronto","funders":"","keywords":"Python (programming language); Computer science; Solver; Optimization problem; Mathematical optimization; Software; Programming language; Algorithm; Mathematics","score_opus":0.061405061495195035,"score_gpt":0.4364930278491112,"score_spread":0.37508796635391617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385064319","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00080161943,0.0042360276,0.93302983,0.0032466005,0.0008524898,0.0004483264,0.00420189,0.01943098,0.033752345],"genre_scores_gemma":[0.010883524,0.013739517,0.9145007,0.0045991982,0.0010651826,0.002337602,0.005153744,0.011869964,0.035850596],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990959,0.0003013666,0.00010512997,0.0001225766,0.00029323527,0.00008175733],"domain_scores_gemma":[0.9967348,0.0025340724,0.000110730914,0.00014610808,0.00035575868,0.000118526805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017561342,0.002025979,0.0011075954,0.0008793825,0.00059523317,0.002371603,0.0021609182,0.0015996959,0.09225233],"category_scores_gemma":[0.00785768,0.0011469278,0.0020514491,0.0016766286,0.00088584924,0.003820235,0.0023794714,0.0053493725,0.03130107],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000081585225,0.0001898049,0.00051275606,0.003511103,0.00007733341,0.0005950434,0.00069546065,0.026990985,0.0030399482,0.2196084,0.42094404,0.32375357],"study_design_scores_gemma":[0.00006006745,0.000038075705,0.0005210906,0.0009901498,0.000021457186,0.0004946768,0.00008012526,0.049453378,0.0017352332,0.17655101,0.76997256,0.00008211711],"about_ca_topic_score_codex":0.0019106859,"about_ca_topic_score_gemma":0.0028635769,"teacher_disagreement_score":0.09225233,"about_ca_system_score_codex":0.0010785048,"about_ca_system_score_gemma":0.0024886215,"threshold_uncertainty_score":0.3086148},"labels":[],"label_agreement":null},{"id":"W4386624723","doi":"10.1177/0272989x231197772","title":"Pricing Treatments Cost-Effectively when They Have Multiple Indications: Not Just a Simple Threshold Analysis","year":2023,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Reimbursement; Purchasing; Actuarial science; Value (mathematics); Economics; Profit (economics); Microeconomics; Willingness to pay; Operations management; Health care; Computer science","score_opus":0.40485676902061546,"score_gpt":0.4881285417326019,"score_spread":0.08327177271198644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386624723","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13782175,0.0030026499,0.8041228,0.010880657,0.0003108531,0.0010925628,0.00056360255,0.00017726663,0.042027872],"genre_scores_gemma":[0.9066313,0.0015821944,0.08397624,0.0011173656,0.00026337872,0.0005156592,0.00016635012,0.00008272813,0.005664867],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9919437,0.0047125025,0.00033444143,0.0008984786,0.0013008366,0.000810046],"domain_scores_gemma":[0.97445434,0.021698762,0.0018091775,0.00060805917,0.00084059295,0.00058914267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011166405,0.0020024707,0.002509337,0.0015757752,0.00094372616,0.0056495885,0.0033417188,0.0036325317,0.009290102],"category_scores_gemma":[0.028359272,0.0013203293,0.002728869,0.0013037502,0.003856021,0.009128609,0.0024427907,0.005383868,0.0004405989],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000490625,0.00032259407,0.0070561687,0.0005621694,0.0005741208,0.00056934013,0.00032412005,0.47866708,0.0012675577,0.46198928,0.0063973847,0.041779567],"study_design_scores_gemma":[0.00016574394,0.00025020633,0.0022642512,0.00017758037,0.00032848222,0.00035017356,0.00020549855,0.5941928,0.0006114496,0.39764115,0.0037207147,0.0000920653],"about_ca_topic_score_codex":0.0054807244,"about_ca_topic_score_gemma":0.0039250096,"teacher_disagreement_score":0.011166405,"about_ca_system_score_codex":0.0067064995,"about_ca_system_score_gemma":0.0038087745,"threshold_uncertainty_score":0.059054315},"labels":[],"label_agreement":null},{"id":"W4386725475","doi":"10.1177/0272989x231197828","title":"Persistent Challenges to a Single Diagnosis","year":2023,"lang":"en","type":"letter","venue":"Medical Decision Making","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; University of Toronto; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre","funders":"Canada Research Chairs","keywords":"Intensive care medicine; Medicine; Computer science","score_opus":0.2617529304617697,"score_gpt":0.43723682466500874,"score_spread":0.17548389420323907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386725475","genre_codex":"commentary","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00015938068,0.00047526095,0.00011699694,0.99277556,0.0054408214,0.000005636252,0.000010230081,0.0000065649333,0.001009605],"genre_scores_gemma":[0.0054544536,0.0010603806,0.0008421907,0.9371068,0.0534843,0.000043890566,0.000026117285,0.000031620544,0.0019502499],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.96172523,0.015893508,0.005640302,0.0037874058,0.008159821,0.0047936826],"domain_scores_gemma":[0.83841056,0.08534572,0.007547655,0.004345505,0.020373179,0.043977425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.036528025,0.0010117264,0.0032287273,0.002929888,0.016564973,0.015743833,0.005624691,0.12503844,0.012813449],"category_scores_gemma":[0.16668142,0.0026407936,0.0028922204,0.0022213492,0.015235237,0.015183002,0.010266441,0.113478564,0.0063504684],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049678867,0.00006464447,0.002192912,0.00012557293,0.000071688635,0.0051713623,0.00075510074,0.00020960273,0.00016474437,0.010910034,0.96663415,0.013650543],"study_design_scores_gemma":[0.00025775522,0.00014889131,0.0025691665,0.0023667559,0.00016707493,0.009076563,0.004988067,0.0021575624,0.00025988984,0.120708756,0.8569449,0.00035460008],"about_ca_topic_score_codex":0.015212333,"about_ca_topic_score_gemma":0.030506741,"teacher_disagreement_score":0.12503844,"about_ca_system_score_codex":0.014128344,"about_ca_system_score_gemma":0.03383157,"threshold_uncertainty_score":0.19318098},"labels":[],"label_agreement":null},{"id":"W4389751101","doi":"10.1177/0272989x231214791","title":"Reporting Economic Evaluations with Value of Information Analyses Using the CHEERS Value of Information (CHEERS-VOI) Reporting Guideline","year":2023,"lang":"en","type":"letter","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; University of Toronto; SickKids Foundation; Institute of Health Economics; University of Ottawa; Public Health Ontario; Hospital for Sick Children","funders":"","keywords":"Guideline; Value (mathematics); Value of information; Actuarial science; Economic evaluation; Medicine; Accounting; Business; Economics; Statistics; Mathematics","score_opus":0.45071480569326694,"score_gpt":0.5347654543255534,"score_spread":0.0840506486322865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389751101","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":"reporting","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":"reporting","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001212444,0.009554408,0.071002014,0.62331843,0.04630693,0.016664023,0.034104977,0.0038238978,0.19401298],"genre_scores_gemma":[0.019528437,0.020178944,0.22947939,0.5175902,0.02948486,0.039945148,0.027905323,0.0033533876,0.11253417],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.6808139,0.16600832,0.08673827,0.0026897436,0.059156507,0.0045931754],"domain_scores_gemma":[0.25994092,0.4536315,0.07057548,0.034900222,0.17493401,0.006017913],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.23377429,0.0014457544,0.0035994686,0.008450088,0.0026230074,0.012986079,0.0075221634,0.027722193,0.02103176],"category_scores_gemma":[0.5805728,0.0030437198,0.0048395386,0.010349947,0.0042710826,0.006341166,0.005263096,0.020346116,0.026456416],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045481018,0.000023135095,0.00024402686,0.0007452338,0.00003809327,0.000060503495,0.0001499558,0.00009869312,0.00007783553,0.0055913148,0.9755543,0.01737154],"study_design_scores_gemma":[0.0002971164,0.00007688462,0.0022054373,0.012167462,0.00015180084,0.00025589598,0.0002623494,0.001588795,0.0008005681,0.023635862,0.9584449,0.00011292592],"about_ca_topic_score_codex":0.013682732,"about_ca_topic_score_gemma":0.013671257,"teacher_disagreement_score":0.7662257,"about_ca_system_score_codex":0.0070458944,"about_ca_system_score_gemma":0.028041758,"threshold_uncertainty_score":0.9448927},"labels":[],"label_agreement":null},{"id":"W4392854760","doi":"10.1177/0272989x241234070","title":"CAR T-cell Therapy for Diffuse Large B-cell Lymphoma in Canada: A Cost-Utility Analysis","year":2024,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Sunnybrook Health Science Centre; University of Waterloo; Canadian Centre for Applied Research in Cancer Control; University of Guelph; Toronto General Hospital","funders":"Canadian Institutes of Health Research; Canada First Research Excellence Fund","keywords":"Medicine; Clinical trial; Chimeric antigen receptor; Quality-adjusted life year; Cost-effectiveness analysis; Cost effectiveness; Oncology; Internal medicine; Intensive care medicine; Immunotherapy; Cancer","score_opus":0.03373929135459469,"score_gpt":0.3590436528543052,"score_spread":0.3253043614997105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392854760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90998626,0.0081564635,0.019678432,0.005335272,0.00012783465,0.0026435629,0.028508965,0.00023413084,0.025329137],"genre_scores_gemma":[0.98489887,0.0018803736,0.006385395,0.00032127523,0.000017556185,0.00035038978,0.0041329297,0.000030053987,0.0019832144],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983771,0.0006724712,0.000060836624,0.00016119219,0.00035999232,0.00036837065],"domain_scores_gemma":[0.9955155,0.002373922,0.00030409067,0.000099918005,0.0012829255,0.00042367927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034702288,0.0013305538,0.0012929043,0.0022381947,0.000996507,0.002023395,0.0018486881,0.0011335614,0.004689094],"category_scores_gemma":[0.011361227,0.0007661307,0.0025081127,0.0033838719,0.00071236625,0.000667117,0.00093562686,0.0014134935,0.000214162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012718543,0.00023446618,0.016812535,0.00042315628,0.0006899847,0.00031554184,0.000056059496,0.95916533,0.00024272698,0.004676433,0.003377825,0.012734157],"study_design_scores_gemma":[0.0009841028,0.00044490144,0.016149541,0.00018487076,0.001054479,0.00015748618,0.00022068391,0.9737734,0.00029928263,0.0025098426,0.004128039,0.00009343347],"about_ca_topic_score_codex":0.94915414,"about_ca_topic_score_gemma":0.90954953,"teacher_disagreement_score":0.91294307,"about_ca_system_score_codex":0.08705695,"about_ca_system_score_gemma":0.054979514,"threshold_uncertainty_score":0.6316453},"labels":[],"label_agreement":null},{"id":"W4394572654","doi":"10.1177/0272989x241239899","title":"Capturing Valuation Study Sampling Uncertainty in the Estimation of Health State Utility Values Using the EQ-5D-3L","year":2024,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Health Economics; University of Alberta","funders":"","keywords":"Markov chain Monte Carlo; Econometrics; Valuation (finance); Bayesian probability; Prior probability; EQ-5D; Statistics; Posterior probability; Probability distribution; Mathematics; Point estimation; Computer science; Mathematical optimization; Economics; Health related quality of life; Medicine","score_opus":0.6504843824883728,"score_gpt":0.533176660139088,"score_spread":0.11730772234928477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394572654","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16594295,0.00031879483,0.83073324,0.00040806222,0.000037680496,0.00037346323,0.00032284873,0.00008184171,0.0017811217],"genre_scores_gemma":[0.8528968,0.00014700265,0.14519347,0.00018359865,0.00004511068,0.0006300358,0.00051210634,0.000029979034,0.00036186056],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9634376,0.03087835,0.0011239693,0.001809467,0.002408225,0.00034245427],"domain_scores_gemma":[0.8029963,0.17691892,0.0073118447,0.009402419,0.0030000738,0.00037046018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07127404,0.00065453345,0.0009606374,0.0013039998,0.00051835686,0.002055798,0.0021931806,0.0014265378,0.0016781378],"category_scores_gemma":[0.23033804,0.00060544006,0.0014614613,0.0016706828,0.0018204931,0.0023621137,0.0028006593,0.0021584427,0.00012851918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072697067,0.00030602096,0.14949167,0.0006307763,0.0011402929,0.00075765554,0.0024309526,0.5261681,0.0022820446,0.19098577,0.002104378,0.1229754],"study_design_scores_gemma":[0.000110470944,0.00025791302,0.029808331,0.0002595816,0.00015633373,0.00037754857,0.0002552208,0.84157777,0.0020712246,0.122569345,0.0024803267,0.0000760347],"about_ca_topic_score_codex":0.0063637183,"about_ca_topic_score_gemma":0.004481712,"teacher_disagreement_score":0.07127404,"about_ca_system_score_codex":0.0017833317,"about_ca_system_score_gemma":0.0015856706,"threshold_uncertainty_score":0.3769377},"labels":[],"label_agreement":null},{"id":"W4394610985","doi":"10.1177/0272989x241241328","title":"Creating a Multiply Imputed Value Set for the EQ-5D-5L in Canada: State-Level Misspecification Terms Are Needed to Characterize Parameter Uncertainty Correctly","year":2024,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; Impact; Institute for Clinical Evaluative Sciences; Canadian Centre for Applied Research in Cancer Control; Health Sciences Centre; Hospital for Sick Children; University of Toronto; SickKids Foundation; Sunnybrook Health Science Centre","funders":"Canadian Statistical Sciences Institute; Mitacs; Canadian Centre for Applied Research in Cancer Control","keywords":"Statistics; Valuation (finance); Imputation (statistics); Econometrics; Value (mathematics); Sample (material); Sample size determination; Confidence interval; Set (abstract data type); Mathematics; Computer science; Missing data; Accounting; Economics","score_opus":0.38008825439222765,"score_gpt":0.41746842486252,"score_spread":0.03738017047029235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394610985","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6191689,0.0019023865,0.26968578,0.0070681768,0.00019836181,0.0017707318,0.07560541,0.0011932828,0.023406997],"genre_scores_gemma":[0.8599367,0.00053176394,0.114343405,0.0006903557,0.00002105001,0.0006267318,0.021559907,0.00015146368,0.0021386193],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9941825,0.001939661,0.00037441982,0.0007480648,0.0022268968,0.0005284095],"domain_scores_gemma":[0.981713,0.007634469,0.0017768481,0.0020240494,0.006521671,0.00032992367],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.011910869,0.00068214233,0.0006562565,0.0021089772,0.0017751126,0.0020522615,0.0030140164,0.0007942697,0.004323818],"category_scores_gemma":[0.062680855,0.00045001795,0.0015119647,0.0047929306,0.0009202005,0.00087045244,0.0017298886,0.0020996712,0.00039316926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008587689,0.00020914347,0.5107107,0.00082380977,0.0014607154,0.0005115405,0.0020224238,0.13125966,0.0007853711,0.031020725,0.05748134,0.2628558],"study_design_scores_gemma":[0.0004789448,0.00029124893,0.50270766,0.0009965326,0.0007531475,0.0005162125,0.0021451411,0.40388426,0.0044017956,0.025957102,0.057472445,0.00039552044],"about_ca_topic_score_codex":0.954103,"about_ca_topic_score_gemma":0.9495894,"teacher_disagreement_score":0.98808914,"about_ca_system_score_codex":0.028549852,"about_ca_system_score_gemma":0.03616294,"threshold_uncertainty_score":0.20714462},"labels":[],"label_agreement":null},{"id":"W4396862807","doi":"10.1177/0272989x241249182","title":"The Impact of Model Assumptions on Personalized Lung Cancer Screening Recommendations","year":2024,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Canadian Partnership Against Cancer","funders":"National Cancer Institute; Erasmus Universitair Medisch Centrum Rotterdam; Health Canada; Cancer Australia; Partenariat Canadien Contre Le Cancer; Universität Zürich; Centre Hospitalier Universitaire Vaudois; ZonMw; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; National Institutes of Health; Cancer Research UK; Teva Pharmaceutical Industries","keywords":"Lung cancer; Medicine; Lung cancer screening; Cancer; Stage (stratigraphy); Incidence (geometry); Epidemiology; Internal medicine; Oncology; Demography; Biology; Mathematics","score_opus":0.06180540773436391,"score_gpt":0.4747675484882615,"score_spread":0.4129621407538976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396862807","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8955769,0.0010003814,0.08366323,0.0036627864,0.00015415026,0.0005283074,0.0032945862,0.00041483738,0.011704721],"genre_scores_gemma":[0.9876457,0.00021230264,0.010006737,0.0004518574,0.000021977241,0.00021664069,0.00080935576,0.000047269128,0.00058809994],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98790795,0.009236969,0.00043572468,0.0010107158,0.000762757,0.00064588594],"domain_scores_gemma":[0.8889989,0.09969265,0.0050882394,0.0025050037,0.0030818495,0.0006333382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.025000537,0.0013175512,0.001293806,0.0007623626,0.0008736723,0.0024874145,0.0026176663,0.0020106311,0.0026558142],"category_scores_gemma":[0.08608794,0.0010304403,0.0020142607,0.0005216032,0.0009838204,0.002525164,0.0013167126,0.0025304444,0.00031854998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037359333,0.00008119255,0.014825778,0.000090674155,0.00021487771,0.00007931589,0.000091296904,0.9780467,0.00025283048,0.0026852286,0.00043828445,0.0028201123],"study_design_scores_gemma":[0.00015339108,0.00037245592,0.00721644,0.00014325984,0.00033129475,0.000083678446,0.00021541853,0.98112476,0.0007836061,0.008452323,0.001054771,0.00006871389],"about_ca_topic_score_codex":0.028835092,"about_ca_topic_score_gemma":0.017851053,"teacher_disagreement_score":0.028835092,"about_ca_system_score_codex":0.004784795,"about_ca_system_score_gemma":0.003416683,"threshold_uncertainty_score":0.13221711},"labels":[],"label_agreement":null},{"id":"W4399215419","doi":"10.1177/0272989x241256121","title":"Thinking Fast, Slow, and Forever: Daniel Kahneman Obituary","year":2024,"lang":"en","type":"editorial","venue":"Medical Decision Making","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; University of Toronto; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre","funders":"Canada Research Chairs","keywords":"Obituary; Prospect theory; Psychology; Economics; Computer science; Mathematical economics; Philosophy; Microeconomics; Theology","score_opus":0.0449707019638836,"score_gpt":0.40334184378099586,"score_spread":0.35837114181711227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399215419","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000014491674,0.0043525347,0.00018614397,0.07394601,0.9206821,0.000010452804,0.000036084413,0.000026370482,0.00074572314],"genre_scores_gemma":[0.00039015696,0.0031664018,0.000117144475,0.027504819,0.96340495,0.000027606326,0.000013948879,0.00003397288,0.005341034],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99063194,0.0027679626,0.0011525118,0.0009567014,0.0040886737,0.00040216662],"domain_scores_gemma":[0.9281521,0.038213853,0.0031529968,0.0014723422,0.024666237,0.0043423804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0135935135,0.0042430013,0.0054342244,0.005054339,0.004795274,0.010532524,0.0046452577,0.017273225,0.013157294],"category_scores_gemma":[0.084249966,0.001391778,0.0024512308,0.002121625,0.0043426026,0.005364365,0.002003096,0.028245183,0.010059161],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017016793,0.000006144447,0.000016862934,0.00008302991,0.00001176557,0.000042985845,0.0000100590105,0.000017207976,0.000008639842,0.00034320756,0.99754274,0.0019002373],"study_design_scores_gemma":[0.00011291446,0.000020541847,0.00027341425,0.001014958,0.000095000665,0.00025726663,0.000080802674,0.00038586097,0.00010440242,0.0052045006,0.9923955,0.000054823468],"about_ca_topic_score_codex":0.004457444,"about_ca_topic_score_gemma":0.010766351,"teacher_disagreement_score":0.017273225,"about_ca_system_score_codex":0.0050218552,"about_ca_system_score_gemma":0.005287016,"threshold_uncertainty_score":0.071890235},"labels":[],"label_agreement":null},{"id":"W4401179823","doi":"10.1177/0272989x241264287","title":"Accurate EVSI Estimation for Nonlinear Models Using the Gaussian Approximation Method","year":2024,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Institute for Clinical Evaluative Sciences; University of Toronto; SickKids Foundation; Hospital for Sick Children; Public Health Ontario","funders":"Canadian Statistical Sciences Institute; Natural Sciences and Engineering Research Council of Canada","keywords":"Monte Carlo method; Gaussian; Nonlinear system; Mathematical optimization; Conditional expectation; Computer science; Mathematics; Nonparametric statistics; Spline (mechanical); Conditional probability distribution; Algorithm; Applied mathematics; Econometrics; Statistics","score_opus":0.49757559236396287,"score_gpt":0.5470503735051236,"score_spread":0.04947478114116077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401179823","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0039730496,0.00026610843,0.99503505,0.00008254637,0.000016008693,0.00003745306,0.000060891598,0.00015930847,0.00036969024],"genre_scores_gemma":[0.2954714,0.001140052,0.69925,0.0003464254,0.00010534379,0.00051787216,0.0006629538,0.00017168578,0.0023342185],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99502724,0.0027747964,0.00026285416,0.00065965677,0.0010349413,0.00024047814],"domain_scores_gemma":[0.9700313,0.025093341,0.0014819589,0.0015194656,0.0016287982,0.00024507372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01262895,0.0012250855,0.0020271093,0.0019844417,0.00047832303,0.0013097435,0.0020842548,0.0015167942,0.0025766238],"category_scores_gemma":[0.04003858,0.00074959034,0.0018237621,0.0018784952,0.0013040587,0.001983624,0.0016261557,0.002513507,0.00062629266],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002920817,0.00012745353,0.00915144,0.00054387737,0.00048506798,0.00030450462,0.0003530325,0.7321541,0.0029497715,0.080436595,0.0029122808,0.17028977],"study_design_scores_gemma":[0.000018907003,0.000039351427,0.0009297407,0.000048284088,0.000053162465,0.000069707545,0.000022932676,0.97059613,0.0006346118,0.026316194,0.0012483397,0.000022643551],"about_ca_topic_score_codex":0.009345352,"about_ca_topic_score_gemma":0.0076055564,"teacher_disagreement_score":0.01262895,"about_ca_system_score_codex":0.0014671526,"about_ca_system_score_gemma":0.0028861675,"threshold_uncertainty_score":0.06678909},"labels":[],"label_agreement":null},{"id":"W4402710798","doi":"10.1177/0272989x241280611","title":"Incorporating Social Determinants of Health in Infectious Disease Models: A Systematic Review of Guidelines","year":2024,"lang":"en","type":"review","venue":"Medical Decision Making","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"London Health Sciences Centre; University of Toronto; University of Winnipeg; International Centre for Infectious Diseases; Public Health Ontario; York University; University of Ottawa; Impact; Public Health Agency of Canada; Western University","funders":"Johns Hopkins University; Gordon and Betty Moore Foundation","keywords":"Conceptualization; Social determinants of health; Disease; Socioeconomic status; Social epidemiology; Health equity; Infectious disease (medical specialty); Public health; Health policy; Medicine; Disease burden; Environmental health; Population; Computer science","score_opus":0.5676633535359924,"score_gpt":0.5978546136969257,"score_spread":0.03019126016093332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402710798","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00028832813,0.9929143,0.0021050533,0.0026665612,0.0003291162,0.00049698097,0.00055538234,0.000044571712,0.00059962616],"genre_scores_gemma":[0.007189333,0.98138714,0.007826138,0.0017126607,0.00021180054,0.0010712274,0.00042977335,0.000034679742,0.00013716418],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9637628,0.01781515,0.012117626,0.0014809493,0.004429684,0.00039377238],"domain_scores_gemma":[0.8058032,0.16474597,0.012921018,0.0029869045,0.012554397,0.0009885634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.038892854,0.0024758233,0.006724425,0.0164004,0.0010131844,0.0042920397,0.0060672075,0.0043826965,0.0053352993],"category_scores_gemma":[0.19202302,0.0020856208,0.013127713,0.0100006405,0.0016479329,0.005110111,0.0031554322,0.0041087177,0.0010538719],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012609236,0.000052700398,0.0013067174,0.70611656,0.006643454,0.00014458077,0.0006727001,0.0018047219,0.00009638635,0.0052221334,0.016451169,0.2613628],"study_design_scores_gemma":[0.00010331779,0.00007822441,0.0011668138,0.91566634,0.012444452,0.00018985405,0.00021359672,0.0008870985,0.00011793918,0.005149763,0.06390401,0.00007861352],"about_ca_topic_score_codex":0.02490757,"about_ca_topic_score_gemma":0.058377404,"teacher_disagreement_score":0.038892854,"about_ca_system_score_codex":0.0069360696,"about_ca_system_score_gemma":0.034407333,"threshold_uncertainty_score":0.20568752},"labels":[],"label_agreement":null},{"id":"W4405792194","doi":"10.1177/0272989x241305414","title":"Microsimulation Estimates of Decision Uncertainty and Value of Information Are Biased but Consistent","year":2024,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"National Cancer Institute; National Institutes of Health; Canada Research Chairs","keywords":"Probabilistic logic; Econometrics; Value of information; Variance (accounting); Population; Bayesian probability; Statistics; Computer science; Mathematics; Economics; Mathematical economics","score_opus":0.06353643939135127,"score_gpt":0.39139299015467505,"score_spread":0.32785655076332376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405792194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50274855,0.00078576367,0.4865715,0.0013422188,0.00010429824,0.0003147512,0.0012730975,0.00022615322,0.0066336095],"genre_scores_gemma":[0.9729978,0.00026961367,0.02461384,0.00021991046,0.000020956673,0.0003191127,0.00046765656,0.000029045503,0.001061977],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9960367,0.002325109,0.0002146649,0.00069050567,0.00045905085,0.00027395537],"domain_scores_gemma":[0.930362,0.05677136,0.007408736,0.0030037875,0.0019807017,0.00047345273],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.012444466,0.00085368316,0.0014915393,0.0010090509,0.00044582406,0.0014522825,0.0010718078,0.0009727603,0.0024596774],"category_scores_gemma":[0.07364495,0.0005869869,0.0014187436,0.0008467101,0.0019168649,0.0024960604,0.0014250748,0.0017850524,0.0002679241],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001607489,0.00005020343,0.014100325,0.00013266636,0.00029641122,0.000054648368,0.0001124326,0.93853575,0.00035939747,0.035748363,0.00050293136,0.009946092],"study_design_scores_gemma":[0.000032730873,0.00015220813,0.0062977765,0.00012580672,0.000116670744,0.000046254216,0.00009029591,0.9277699,0.00083080516,0.06365148,0.0008376167,0.00004847654],"about_ca_topic_score_codex":0.0073575815,"about_ca_topic_score_gemma":0.0052761836,"teacher_disagreement_score":0.9875555,"about_ca_system_score_codex":0.0026073784,"about_ca_system_score_gemma":0.0018322598,"threshold_uncertainty_score":0.06581342},"labels":[],"label_agreement":null},{"id":"W4406112123","doi":"10.1177/0272989x241308768","title":"A Fast Nonparametric Sampling Method for Time to Event in Individual-Level Simulation Models","year":2025,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"National Cancer Institute","keywords":"Nonparametric statistics; Event (particle physics); Sampling (signal processing); Computer science; Statistics; Discrete event simulation; Econometrics; Mathematics","score_opus":0.27810593574976383,"score_gpt":0.5104915170126392,"score_spread":0.23238558126287534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406112123","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018999293,0.00006327151,0.9970283,0.00005924991,0.00003282733,0.000080250335,0.000085388565,0.0003674319,0.000383467],"genre_scores_gemma":[0.19327907,0.000286472,0.8016157,0.00017074405,0.00012768774,0.0013684245,0.0008610946,0.0004058373,0.0018848587],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99597794,0.0025567252,0.00015519882,0.00042178365,0.0007652308,0.0001232047],"domain_scores_gemma":[0.9796681,0.014673516,0.0013162572,0.0021416727,0.0018300974,0.00037027537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00792608,0.0007426409,0.0009381254,0.0015663079,0.00067577977,0.0010290081,0.001949314,0.00089071254,0.0063303555],"category_scores_gemma":[0.043898355,0.00069711695,0.0012982269,0.0013813548,0.0010714103,0.0015114121,0.0017690933,0.002423505,0.0010920303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030921755,0.00014232426,0.008339731,0.00032519398,0.00025599622,0.0003871321,0.00039684447,0.6201119,0.0018619213,0.15107162,0.008105341,0.20869277],"study_design_scores_gemma":[0.000057237554,0.000040441297,0.00054811244,0.00003725467,0.000023322318,0.00011526028,0.000020007967,0.95753926,0.00055632304,0.03659662,0.0044404985,0.000025634055],"about_ca_topic_score_codex":0.0080196075,"about_ca_topic_score_gemma":0.006565341,"teacher_disagreement_score":0.0080196075,"about_ca_system_score_codex":0.0012314686,"about_ca_system_score_gemma":0.0028557233,"threshold_uncertainty_score":0.041917622},"labels":[],"label_agreement":null},{"id":"W4407139701","doi":"10.1177/0272989x251314031","title":"Development of a Microsimulation Model to Project the Future Prevalence of Childhood Cancer in Ontario, Canada","year":2025,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Microsimulation; Projections of population growth; Medicine; Population; Demography; Incidence (geometry); Cohort; Cancer; Cancer registry; Childhood cancer; Environmental health; Population growth; Internal medicine","score_opus":0.026355956264115757,"score_gpt":0.356343390752889,"score_spread":0.32998743448877327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407139701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6828021,0.0006564201,0.26495618,0.0021051336,0.00009293831,0.0004308304,0.012355095,0.00089984236,0.03570147],"genre_scores_gemma":[0.963768,0.00028260628,0.025049616,0.000089192625,0.000015264588,0.00025133896,0.002463998,0.000054562253,0.008025354],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975675,0.00005187203,0.00000915842,0.00004622014,0.00005060532,0.00008530673],"domain_scores_gemma":[0.99933124,0.00022812869,0.0000751983,0.000019784424,0.00028964542,0.000056160126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066062063,0.0006011843,0.00041133468,0.000647588,0.00089327374,0.00077410345,0.001465826,0.0005798874,0.0034906256],"category_scores_gemma":[0.0022187964,0.00045489054,0.00071976066,0.0006524384,0.0005342313,0.00029977548,0.000608636,0.0005260143,0.00020173877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000151480035,0.000005477408,0.0055960114,0.000012216419,0.000014053103,0.000029767532,0.00003423015,0.98871475,0.000113052774,0.00275619,0.0006203489,0.0020886601],"study_design_scores_gemma":[0.000009053614,0.0000061855803,0.0015362469,0.0000060934926,0.000010363659,0.000005211355,0.000025981983,0.99678206,0.000057920508,0.00064030074,0.00091463176,0.000005974346],"about_ca_topic_score_codex":0.936929,"about_ca_topic_score_gemma":0.86187893,"teacher_disagreement_score":0.06307101,"about_ca_system_score_codex":0.012617391,"about_ca_system_score_gemma":0.015453436,"threshold_uncertainty_score":0.12688488},"labels":[],"label_agreement":null},{"id":"W4407674404","doi":"10.1177/0272989x251314010","title":"Expected Value of Sample Information Calculations for Risk Prediction Model Validation","year":2025,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Advancing Health Outcomes; University of British Columbia","funders":"National Cancer Institute; Canadian Institutes of Health Research; National Institutes of Health; Memorial Sloan-Kettering Cancer Center","keywords":"Sample size determination; False positive paradox; Statistics; Population; Computer science; Sample (material); Computation; Econometrics; Data mining; Mathematics; Algorithm; Medicine","score_opus":0.20777516947501984,"score_gpt":0.4581390370143673,"score_spread":0.2503638675393475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407674404","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014278564,0.0006741404,0.9813028,0.0004297403,0.00009172882,0.00040461196,0.00033641668,0.0007075891,0.0017743931],"genre_scores_gemma":[0.28858307,0.00061254174,0.706239,0.00039653093,0.00014432905,0.0016872336,0.0008875448,0.00044528145,0.0010045258],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.97329354,0.018826876,0.0015038901,0.0014747896,0.0045460477,0.00035481044],"domain_scores_gemma":[0.71934307,0.2503083,0.007940591,0.013011966,0.008763621,0.0006323798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.042277332,0.0021502462,0.0018536008,0.0036178313,0.00081681827,0.0025087283,0.002521309,0.0017824128,0.005228698],"category_scores_gemma":[0.26717252,0.0009478267,0.0021434727,0.0021341862,0.0019886682,0.0028781442,0.0027222848,0.0039886036,0.0007562029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00082496036,0.00031197965,0.026571818,0.0010247419,0.0010572475,0.00032993473,0.000424474,0.63961905,0.0020815074,0.07578808,0.008218613,0.24374758],"study_design_scores_gemma":[0.00017767373,0.00038986493,0.0036741968,0.00037855827,0.00017836793,0.00023169066,0.00007381778,0.9155129,0.0046243262,0.06994238,0.0047404678,0.00007565586],"about_ca_topic_score_codex":0.0025787912,"about_ca_topic_score_gemma":0.0019950725,"teacher_disagreement_score":0.042277332,"about_ca_system_score_codex":0.0021012553,"about_ca_system_score_gemma":0.0035156924,"threshold_uncertainty_score":0.22358662},"labels":[],"label_agreement":null},{"id":"W4407747386","doi":"10.1177/0272989x251318640","title":"The Effect of Patient Decision Aid Attributes on Patient Outcomes: A Network Meta-Analysis of a Systematic Review","year":2025,"lang":"en","type":"review","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cochrane; Ottawa Hospital; University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Psychological intervention; Medicine; Decision aids; Meta-analysis; Randomized controlled trial; Decision quality; Feeling; Confidence interval; Psychology; Patient satisfaction; Alternative medicine; Social psychology; Nursing; Internal medicine","score_opus":0.3426469521862825,"score_gpt":0.5351406734317351,"score_spread":0.1924937212454526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407747386","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0065166694,0.98974764,0.0012002592,0.00031580013,0.00020139058,0.0007447328,0.0008462885,0.000037281767,0.0003898481],"genre_scores_gemma":[0.32615978,0.65993595,0.0057558813,0.0014805973,0.00034601355,0.0042316467,0.0015760754,0.00007382617,0.0004402235],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9636801,0.021945832,0.007835169,0.0029844786,0.002950219,0.000604233],"domain_scores_gemma":[0.92044926,0.06452734,0.008479416,0.0020193222,0.003983793,0.0005408893],"candidate_categories":["metaresearch","metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.03656845,0.003425052,0.01887843,0.009262034,0.00091476267,0.0041071433,0.002381744,0.0022419346,0.0051321676],"category_scores_gemma":[0.09212885,0.0015857476,0.04361673,0.007890715,0.0010546629,0.0028898325,0.0025127002,0.0024298632,0.00039220642],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016466526,0.000029787634,0.0037709493,0.28797323,0.6965784,0.000072658426,0.00007975676,0.00040059056,0.000095542506,0.0001350522,0.00042364316,0.008793763],"study_design_scores_gemma":[0.0006034802,0.00015446299,0.0024741092,0.02779228,0.96737224,0.00005323437,0.00003834752,0.00019308741,0.00007735331,0.0002267795,0.0009953307,0.000019289238],"about_ca_topic_score_codex":0.008881583,"about_ca_topic_score_gemma":0.017165983,"teacher_disagreement_score":0.99657494,"about_ca_system_score_codex":0.0044034333,"about_ca_system_score_gemma":0.0050813146,"threshold_uncertainty_score":0.19339472},"labels":[],"label_agreement":null},{"id":"W4407858132","doi":"10.1177/0272989x251319342","title":"Health Utilities in People with Hepatitis C Virus Infection: A Study Using Real-World Population-Level Data","year":2025,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Public Health Ontario; University of Toronto; University of Waterloo; Children's Hospital of Eastern Ontario; University Health Network","funders":"Canadian Liver Foundation","keywords":"Medicine; Propensity score matching; Hepatitis C; Cohort; Hepatitis C virus; Population; Mental health; Comorbidity; Cohort study; Demography; Environmental health; Immunology; Gerontology; Internal medicine; Psychiatry; Virus","score_opus":0.17994547393743474,"score_gpt":0.4156707202062075,"score_spread":0.23572524626877275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407858132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972276,0.00043272722,0.00036864003,0.00007506985,0.000006558674,0.000062382824,0.0016216767,0.000004603764,0.00020074817],"genre_scores_gemma":[0.9979692,0.00017638052,0.00025485342,0.00004174222,0.000008105878,0.00006353091,0.0014210402,0.000003360868,0.000061737905],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99625516,0.0016377823,0.00036680014,0.00067397865,0.0007038356,0.00036246632],"domain_scores_gemma":[0.9909027,0.002461011,0.0038835548,0.0011384739,0.0010815274,0.00053267245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005932253,0.00051382376,0.0005878544,0.0018370767,0.0010242215,0.001313839,0.0009172815,0.0006375259,0.0008304133],"category_scores_gemma":[0.015443834,0.00051729736,0.0014607551,0.00545134,0.00096421264,0.0011115533,0.0012056333,0.0008525187,0.00020583405],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000109970315,0.000062396466,0.9979576,0.000029695198,0.00023687397,0.000032786218,0.0002485033,0.00014202297,0.000022186485,0.000051425635,0.00015261782,0.00095388957],"study_design_scores_gemma":[0.000033089877,0.00008914301,0.99774444,0.000022971106,0.00010947548,0.00010333278,0.00034925953,0.001019662,0.000026708747,0.000046855293,0.00043861408,0.000016515625],"about_ca_topic_score_codex":0.2645974,"about_ca_topic_score_gemma":0.22366622,"teacher_disagreement_score":0.2645974,"about_ca_system_score_codex":0.004147368,"about_ca_system_score_gemma":0.0023436341,"threshold_uncertainty_score":0.5261145},"labels":[],"label_agreement":null},{"id":"W4407924818","doi":"10.1177/0272989x251319808","title":"Changing Time Representation in Microsimulation Models","year":2025,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Public Health Ontario; University of Toronto; St. Michael's Hospital","funders":"","keywords":"Microsimulation; Time horizon; Constraint (computer-aided design); Econometrics; Computer science; Inefficiency; Discrete event simulation; Resource (disambiguation); Economics; Simulation; Mathematical optimization; Mathematics; Microeconomics; Engineering","score_opus":0.09839049484844621,"score_gpt":0.4481347265346176,"score_spread":0.3497442316861714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407924818","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09069144,0.0003589827,0.90167606,0.00075177074,0.00007957262,0.00010442679,0.0005621106,0.00066307635,0.005112533],"genre_scores_gemma":[0.9101525,0.00030121583,0.08489293,0.00017500849,0.00004197873,0.00034263675,0.0005230741,0.0001514773,0.003419227],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99829274,0.00081812416,0.00008353338,0.00033868433,0.0002996119,0.00016724505],"domain_scores_gemma":[0.9891587,0.008243707,0.0012427248,0.00064108445,0.0005134903,0.00020022849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00279233,0.000993483,0.0006695904,0.0007883624,0.000414202,0.0012720071,0.001641922,0.0011838689,0.0041696127],"category_scores_gemma":[0.0144922845,0.00057603465,0.001315126,0.0005814637,0.0010785671,0.0014589097,0.0011628175,0.0016301118,0.00034530144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018945484,0.000009310077,0.00073086855,0.000018685643,0.000017956547,0.00002129633,0.000022081475,0.9816036,0.00018334883,0.015158686,0.00015299438,0.0020621622],"study_design_scores_gemma":[0.000005086136,0.000009403521,0.00010674611,0.0000051152933,0.0000063568273,0.0000065733175,0.0000064309866,0.9906441,0.00019392591,0.008516518,0.00049508864,0.000004571016],"about_ca_topic_score_codex":0.012663703,"about_ca_topic_score_gemma":0.005610252,"teacher_disagreement_score":0.012663703,"about_ca_system_score_codex":0.002558391,"about_ca_system_score_gemma":0.001263102,"threshold_uncertainty_score":0.025179982},"labels":[],"label_agreement":null},{"id":"W4408672482","doi":"10.1177/0272989x251325828","title":"Immediate Death: Not So Bad If You Discount the Future but Still Worse than It Should Be","year":2025,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children; Public Health Ontario; University of Toronto","funders":"EuroQol Research Foundation","keywords":"Time-trade-off; Valuation (finance); Discounting; Time preference; Duration (music); Statistics; Quality-adjusted life year; Econometrics; Willingness to pay; Actuarial science; Mathematics; Demography; Quality of life (healthcare); Medicine; Economics","score_opus":0.26535177404626187,"score_gpt":0.46123908223127524,"score_spread":0.19588730818501338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408672482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85663056,0.0035211171,0.0894944,0.007399882,0.0012021589,0.0013727002,0.003762833,0.00027605623,0.036340304],"genre_scores_gemma":[0.9680544,0.001143634,0.02475578,0.0011060204,0.00012898768,0.001037259,0.00046019928,0.000027349188,0.00328625],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99201727,0.005660324,0.00034364194,0.0006473506,0.0010379719,0.0002934172],"domain_scores_gemma":[0.9676624,0.023228988,0.0047821915,0.0021020505,0.0012220509,0.0010023062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014566792,0.0008826088,0.0008648047,0.00053321157,0.0005992468,0.0024767772,0.00079083076,0.001808054,0.012846278],"category_scores_gemma":[0.051707506,0.00027633065,0.00096836936,0.0006927777,0.0016796867,0.0028970717,0.001380909,0.0025239717,0.00089994236],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.03472176,0.006817214,0.19479738,0.004871446,0.0022245785,0.00093082525,0.0047895843,0.030947955,0.014714047,0.18450657,0.020178396,0.50050014],"study_design_scores_gemma":[0.003743652,0.023335433,0.2501626,0.0038413403,0.0030267057,0.0013823748,0.009452332,0.069807,0.020668676,0.51901543,0.094390124,0.0011742753],"about_ca_topic_score_codex":0.0006240814,"about_ca_topic_score_gemma":0.0013403753,"teacher_disagreement_score":0.014566792,"about_ca_system_score_codex":0.0009145439,"about_ca_system_score_gemma":0.00070044707,"threshold_uncertainty_score":0.07703751},"labels":[],"label_agreement":null},{"id":"W4408673451","doi":"10.1177/0272989x251324936","title":"A Nonparametric Approach for Estimating the Effective Sample Size in Gaussian Approximation of Expected Value of Sample Information","year":2025,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Institute for Clinical Evaluative Sciences; University of Toronto; SickKids Foundation; Hospital for Sick Children; Public Health Ontario","funders":"Canadian Statistical Sciences Institute; Natural Sciences and Engineering Research Council of Canada","keywords":"Nonparametric statistics; Sample size determination; Gaussian; Sample (material); Probability distribution; Computer science; Statistics; Mathematical optimization; Mathematics","score_opus":0.04552504678224666,"score_gpt":0.4011517871229981,"score_spread":0.3556267403407514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408673451","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027116903,0.00020367978,0.996298,0.000112907706,0.000030068104,0.00010701618,0.00007024593,0.00009331972,0.0003732166],"genre_scores_gemma":[0.25934744,0.0008338033,0.735001,0.00047362855,0.00023893351,0.0019806367,0.00053522986,0.00012916987,0.0014601209],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9866172,0.0091789905,0.0006675272,0.0015979424,0.0016629137,0.00027540856],"domain_scores_gemma":[0.9451886,0.046277065,0.0021773288,0.0036954253,0.0023805345,0.00028112633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.023439126,0.0011279188,0.0019829453,0.0024257058,0.0006284808,0.0017439132,0.0028648106,0.0018551236,0.0034124951],"category_scores_gemma":[0.09256792,0.0006366865,0.0018130575,0.002090398,0.0023996695,0.0031504536,0.0023510207,0.0027076183,0.00040182297],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057277625,0.00019515908,0.00987057,0.00096063234,0.00079581776,0.0005675638,0.0006539492,0.40103152,0.004621065,0.28176048,0.004829305,0.29414117],"study_design_scores_gemma":[0.00006604479,0.0001973477,0.0024428023,0.00016420458,0.00012756753,0.00024476257,0.00008693271,0.88135815,0.0021429514,0.10927741,0.0038254554,0.00006635117],"about_ca_topic_score_codex":0.003000435,"about_ca_topic_score_gemma":0.0021367508,"teacher_disagreement_score":0.023439126,"about_ca_system_score_codex":0.0016569094,"about_ca_system_score_gemma":0.0024321608,"threshold_uncertainty_score":0.12395942},"labels":[],"label_agreement":null},{"id":"W4408725561","doi":"10.1177/0272989x251326069","title":"People Living with Chronic Pain Experience a High Prevalence of Decision Regret in Canada: A Pan-Canadian Online Survey","year":2025,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; Institut du Savoir Montfort; University of Ottawa; Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale; Research Canada; Centres Intégré Universitaires de Santé et de Services Sociaux; Université Laval; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Université de Sherbrooke","funders":"Institute of Musculoskeletal Health and Arthritis; Canadian Institutes of Health Research","keywords":"Regret; Observational study; Checklist; Scale (ratio); Population; Sample (material); Stratified sampling; Psychology; Medicine; Environmental health; Geography; Computer science; Cartography; Pathology","score_opus":0.1044273161445798,"score_gpt":0.4180405234719196,"score_spread":0.3136132073273398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408725561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9742813,0.00207533,0.00038610352,0.0026381954,0.000039671893,0.00024369425,0.0139123,0.000028530563,0.006394683],"genre_scores_gemma":[0.9941757,0.0012945044,0.0006552132,0.0005953419,0.000012532624,0.000081271886,0.0025848257,0.0000063857765,0.0005941231],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99809533,0.00018145738,0.00012594408,0.00018676023,0.0009026524,0.0005079032],"domain_scores_gemma":[0.9953139,0.00037334053,0.001063393,0.000094372,0.0021417034,0.0010134234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015111449,0.00029373332,0.00038546234,0.0020810724,0.0031056127,0.0014335404,0.0011450371,0.0004890441,0.0028885454],"category_scores_gemma":[0.0049416744,0.00024133333,0.00066046603,0.0052834763,0.0006785952,0.0006257369,0.0011936738,0.00078244647,0.00018454986],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056002526,0.000054979286,0.9827083,0.00019571964,0.000052250245,0.00008843483,0.0019815566,0.00009365787,0.000092907576,0.00015352649,0.0037879494,0.010734714],"study_design_scores_gemma":[0.000007710008,0.000017428409,0.9953246,0.00009887115,0.00001994552,0.000066963396,0.0023505276,0.00022890027,0.000033101707,0.000034420857,0.0018007422,0.000016740001],"about_ca_topic_score_codex":0.99350595,"about_ca_topic_score_gemma":0.99518675,"teacher_disagreement_score":0.022781113,"about_ca_system_score_codex":0.022781113,"about_ca_system_score_gemma":0.028359247,"threshold_uncertainty_score":0.16528928},"labels":[],"label_agreement":null},{"id":"W4409168450","doi":"10.1177/0272989x251326908","title":"Understanding Delayed Diabetes Diagnosis: An Agent-Based Model of Health-Seeking Behavior","year":2025,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Timeline; Psychological intervention; Theory of planned behavior; Medical diagnosis; Health care; Context (archaeology); Psychology; Framing (construction); Health belief model; Applied psychology; Medicine; Gerontology; Nursing; Health promotion; Public health; Computer science; Political science","score_opus":0.7130150731856079,"score_gpt":0.6610780821134697,"score_spread":0.05193699107213812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409168450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64722025,0.0010674067,0.30855078,0.00931027,0.00026129256,0.0003386127,0.0025246453,0.0004185783,0.030308103],"genre_scores_gemma":[0.9718622,0.00041701022,0.01952611,0.0003021035,0.000062869236,0.0002848325,0.0004120662,0.000025536712,0.0071072034],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994253,0.0002729366,0.00002410002,0.00013085753,0.00004731271,0.00009960814],"domain_scores_gemma":[0.9969434,0.0022754571,0.00033949883,0.00006532162,0.00018990964,0.0001863857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014411617,0.0008487211,0.00091397687,0.000777871,0.0006653516,0.0020628436,0.0016531462,0.0017046559,0.0059578144],"category_scores_gemma":[0.0053026495,0.0005493582,0.0010024388,0.0006257933,0.0007066827,0.0012983376,0.000980706,0.0015726238,0.00044991376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020716724,0.00033511117,0.021735158,0.000090852816,0.00020852222,0.00035056725,0.00062953547,0.9158287,0.00041001395,0.04837471,0.0019280649,0.009901514],"study_design_scores_gemma":[0.00004646888,0.000043762764,0.0014648483,0.000011340047,0.000034954865,0.000026509259,0.0000808218,0.9879226,0.000024983021,0.009743687,0.0005869664,0.000013053086],"about_ca_topic_score_codex":0.042209268,"about_ca_topic_score_gemma":0.021349417,"teacher_disagreement_score":0.042209268,"about_ca_system_score_codex":0.001858502,"about_ca_system_score_gemma":0.0019527791,"threshold_uncertainty_score":0.083927155},"labels":[],"label_agreement":null},{"id":"W4409696671","doi":"10.1177/0272989x251332597","title":"Optimizing the Harms and Benefits of Cervical Screening in a Partially Vaccinated Population in Ontario, Canada: A Modeling Study","year":2025,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; Cancer Care Ontario","funders":"","keywords":"Cervical screening; Medicine; Population; Family medicine; Environmental health; Cervical cancer; Internal medicine","score_opus":0.054347069747631524,"score_gpt":0.3584407811936575,"score_spread":0.304093711446026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409696671","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9659724,0.0010780512,0.006912386,0.0024963694,0.00003781997,0.0003753564,0.006396248,0.00007519886,0.016656214],"genre_scores_gemma":[0.98766476,0.00058351265,0.0027298292,0.0001906055,0.000013728215,0.00014830701,0.0010707898,0.000013782263,0.0075846743],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922943,0.00026899675,0.000018378698,0.000090725254,0.000071540526,0.00032086618],"domain_scores_gemma":[0.99763095,0.0011967706,0.00033071937,0.000078320685,0.0004901163,0.00027305863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016619357,0.0009258263,0.00089065474,0.0007373853,0.0013700807,0.0012010289,0.001967193,0.0012284771,0.004612249],"category_scores_gemma":[0.0042421166,0.00056011736,0.0013863615,0.0010552588,0.00094474055,0.0005212096,0.0008280716,0.0007274807,0.00019155016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051730167,0.00023790353,0.059919957,0.00017888503,0.00030268446,0.00034179006,0.00029174192,0.9176401,0.00039327415,0.0092526795,0.004107078,0.00681659],"study_design_scores_gemma":[0.00041031657,0.00027285004,0.034532893,0.000069569694,0.00037578546,0.0000681536,0.0006460353,0.9565388,0.00016774732,0.0027039205,0.0041557928,0.000058101934],"about_ca_topic_score_codex":0.9640313,"about_ca_topic_score_gemma":0.9535979,"teacher_disagreement_score":0.03596872,"about_ca_system_score_codex":0.033871584,"about_ca_system_score_gemma":0.025997087,"threshold_uncertainty_score":0.24575669},"labels":[],"label_agreement":null},{"id":"W4410850908","doi":"10.1177/0272989x251343082","title":"So You’ve Got a High AUC, Now What? An Overview of Important Considerations when Bringing Machine-Learning Models from Computer to Bedside","year":2025,"lang":"en","type":"review","venue":"Medical Decision Making","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; Public Health Ontario; University of Toronto","funders":"","keywords":"Machine learning; Computer science; Artificial intelligence; Bridge (graph theory); Software deployment; Key (lock); Model selection; Clinical decision support system; Health care; Clinical Practice; Calibration; Medical physics; Decision support system; Medicine; Software engineering","score_opus":0.33264249588838335,"score_gpt":0.5007955916939023,"score_spread":0.16815309580551896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410850908","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009748107,0.995824,0.00065911206,0.0018601634,0.0002727177,0.000025739493,0.00009902354,0.00002331894,0.001138516],"genre_scores_gemma":[0.0017504018,0.99373984,0.0019949004,0.0013350096,0.00032068492,0.000069348214,0.00014470621,0.000014626129,0.00063052843],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99818295,0.00068896025,0.0003920104,0.00018974289,0.00047724522,0.00006909463],"domain_scores_gemma":[0.99508,0.0036538476,0.00039893904,0.00007168262,0.00070823776,0.000087186796],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00434332,0.0011208407,0.0021517598,0.0040020836,0.00030018162,0.0017143069,0.0013975012,0.0017252729,0.0053433953],"category_scores_gemma":[0.010805168,0.00049158477,0.0023781406,0.0028622008,0.0004998792,0.0022554724,0.00064794236,0.0028155285,0.0027508524],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009516326,0.000036935646,0.00033016564,0.035046834,0.00056111993,0.00009161078,0.0000706563,0.000662507,0.0005015909,0.0046866294,0.053470742,0.90444607],"study_design_scores_gemma":[0.00007232986,0.00024798492,0.0019006821,0.044444527,0.0012340752,0.0012122997,0.0000966119,0.0007081701,0.0009188566,0.009966876,0.93911266,0.00008491427],"about_ca_topic_score_codex":0.00250408,"about_ca_topic_score_gemma":0.004501287,"teacher_disagreement_score":0.99565667,"about_ca_system_score_codex":0.0011013153,"about_ca_system_score_gemma":0.0021820965,"threshold_uncertainty_score":0.022969902},"labels":[],"label_agreement":null},{"id":"W4411241327","doi":"10.1177/0272989x251340941","title":"Decision Frameworks for Assessing Cost-Effectiveness Given Previous Nonoptimal Decisions","year":2025,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Decision analysis; Computer science; Cost effectiveness; Management science; Operations research; Risk analysis (engineering); Business; Statistics; Mathematics; Economics","score_opus":0.2988048024459036,"score_gpt":0.5268310687258189,"score_spread":0.2280262662799153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411241327","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027695067,0.006562478,0.9261562,0.0055177975,0.00045418233,0.002253953,0.0019142501,0.0002254315,0.029220717],"genre_scores_gemma":[0.64449024,0.0043314043,0.33850527,0.0011718371,0.00045768646,0.0059909946,0.0011167829,0.00009432544,0.0038415876],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9232277,0.06444892,0.0022791002,0.0029112382,0.0054006143,0.0017324201],"domain_scores_gemma":[0.8813849,0.10526487,0.0064902157,0.0023400164,0.0036679476,0.0008520482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.064804435,0.004551758,0.0035205416,0.006276049,0.0011702942,0.007285828,0.0038905037,0.004807957,0.015032416],"category_scores_gemma":[0.13913351,0.0015033825,0.003921525,0.0035328667,0.0046053166,0.005745494,0.0036919706,0.00540559,0.0006623246],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029476354,0.00012670286,0.0021557128,0.000723574,0.00047945816,0.00016673736,0.00023129019,0.44003013,0.00012134694,0.5256822,0.0021573405,0.027830604],"study_design_scores_gemma":[0.00017544588,0.00030060668,0.0010685863,0.00094542117,0.00033051416,0.00011491623,0.000217907,0.50274485,0.00025179886,0.48641363,0.007318375,0.000117942225],"about_ca_topic_score_codex":0.0076264883,"about_ca_topic_score_gemma":0.004553154,"teacher_disagreement_score":0.064804435,"about_ca_system_score_codex":0.010442179,"about_ca_system_score_gemma":0.006987366,"threshold_uncertainty_score":0.3427227},"labels":[],"label_agreement":null},{"id":"W4411604797","doi":"10.1177/0272989x251346788","title":"Forewarning Artificial Intelligence about Cognitive Biases","year":2025,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Healthcare cost, quality, practices","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; University of Toronto; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre","funders":"Canada Research Chairs","keywords":"Cognition; Cognitive bias; Psychology; Vigilance (psychology); Cognitive psychology; Generative grammar; Artificial intelligence; Computer science","score_opus":0.7150225695664488,"score_gpt":0.6469278259500016,"score_spread":0.06809474361644718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411604797","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9071586,0.00052834995,0.06901341,0.008806155,0.00021161354,0.00024610938,0.00007698623,0.0007339117,0.013224851],"genre_scores_gemma":[0.97746736,0.000115836345,0.019546656,0.0018307081,0.000052903168,0.000067807196,0.000045540186,0.00007292224,0.0008002921],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.976144,0.016521925,0.0010580911,0.0013518865,0.0042882124,0.0006358092],"domain_scores_gemma":[0.8199357,0.14662862,0.0113314325,0.015969446,0.0050239544,0.0011108395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.028291447,0.0006423227,0.00041472947,0.00069456163,0.0007398955,0.0029571506,0.0011160366,0.0013087909,0.00274169],"category_scores_gemma":[0.17457052,0.00041258705,0.00071339414,0.0003493583,0.0033281061,0.003946715,0.0028855188,0.002893846,0.0004630421],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032734869,0.0013142632,0.25725916,0.0013153215,0.00091628905,0.0012489388,0.046141647,0.040173367,0.051401485,0.03866839,0.006972215,0.55131555],"study_design_scores_gemma":[0.00070469955,0.005128627,0.14701785,0.0023006536,0.0013508886,0.0037276843,0.01741983,0.29321238,0.1365777,0.32520625,0.06665157,0.00070179015],"about_ca_topic_score_codex":0.0012222998,"about_ca_topic_score_gemma":0.0017405248,"teacher_disagreement_score":0.028291447,"about_ca_system_score_codex":0.001355108,"about_ca_system_score_gemma":0.0018414318,"threshold_uncertainty_score":0.14962125},"labels":[],"label_agreement":null},{"id":"W4411628502","doi":"10.1177/0272989x251342596","title":"Impact of Limited Sample Size and Follow-up on Partitioned Survival and Multistate Modeling-Based Health Economic Models: A Simulation Study","year":2025,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; Hospital for Sick Children; Canadian Centre for Applied Research in Cancer Control; Health Sciences Centre; Sunnybrook Health Science Centre; SickKids Foundation; University of Toronto","funders":"","keywords":"Sample size determination; Censoring (clinical trials); Statistics; Population; Survival analysis; Computer science; Econometrics; Medicine; Mathematics","score_opus":0.3758509519465261,"score_gpt":0.5091020371469848,"score_spread":0.13325108520045864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411628502","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90293956,0.0020074458,0.087200664,0.0018119513,0.00008457379,0.00075526093,0.0010065809,0.000108364504,0.0040855817],"genre_scores_gemma":[0.9818589,0.00043195748,0.016207987,0.00019152054,0.000022250199,0.00047229644,0.00036028467,0.000022296612,0.00043246427],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9844513,0.013674731,0.00040483964,0.0005811838,0.00040781876,0.0004801239],"domain_scores_gemma":[0.7408752,0.24323554,0.006201112,0.004630138,0.0038850263,0.0011731271],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.037246473,0.0013397748,0.0015869213,0.001401557,0.0008767391,0.0017362193,0.0023179054,0.002425169,0.0030075668],"category_scores_gemma":[0.10533816,0.00077461737,0.003114108,0.0015280741,0.0012927743,0.0025364535,0.0024845577,0.0030041144,0.00017150056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011185263,0.00045128094,0.01744566,0.00019777525,0.0005255164,0.00022320775,0.00016789227,0.9655874,0.000116547046,0.0085556,0.00043840375,0.0051721483],"study_design_scores_gemma":[0.00026175246,0.0004116282,0.0022219666,0.0000953774,0.00019774532,0.000059061214,0.000099604855,0.99070567,0.00019238415,0.005410059,0.00031240494,0.00003238946],"about_ca_topic_score_codex":0.018989649,"about_ca_topic_score_gemma":0.009673838,"teacher_disagreement_score":0.96275353,"about_ca_system_score_codex":0.0036052042,"about_ca_system_score_gemma":0.002385713,"threshold_uncertainty_score":0.1969806},"labels":[],"label_agreement":null},{"id":"W4412022710","doi":"10.1177/0272989x251346213","title":"Organ Donation Decisions: When Deviating from the Status Quo Heightens Perceived Vulnerability","year":2025,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Organ Donation and Transplantation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre","funders":"","keywords":"Status quo; Organ donation; Vulnerability (computing); Donation; Opt-out; Psychology; Status quo bias; Social psychology; Affect (linguistics); Medicine; Transplantation; Political science; Business; Law; Surgery; Advertising; Computer security","score_opus":0.02629408031786699,"score_gpt":0.3418043409329664,"score_spread":0.3155102606150994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412022710","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964066,0.00011339204,0.00035955105,0.0005351777,0.000021829586,0.000021074491,0.000015374348,0.0000033053718,0.0025236912],"genre_scores_gemma":[0.99945563,0.000056718203,0.00017396602,0.00013811322,0.000007466044,0.000017565017,0.000012559954,0.00000205261,0.00013585684],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99274856,0.004680078,0.00035863373,0.00058203895,0.00093086227,0.00069981185],"domain_scores_gemma":[0.9637047,0.021735795,0.009370692,0.001726418,0.0010674711,0.0023948934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007716562,0.00034834864,0.00037121694,0.00062891346,0.00181949,0.0035401478,0.00044092053,0.0012411589,0.0054957266],"category_scores_gemma":[0.03731295,0.00034497058,0.00041272395,0.00032936427,0.0034386006,0.0024959156,0.002916805,0.0019442415,0.0002617028],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015964443,0.0027452752,0.60928875,0.0007523685,0.00038700944,0.0011991846,0.31850368,0.0008521124,0.007658509,0.008082786,0.001749034,0.04718489],"study_design_scores_gemma":[0.00017874174,0.0013853172,0.7593165,0.0005560469,0.0002177349,0.000805365,0.20903842,0.0024944665,0.0022663898,0.016187001,0.007352542,0.00020156418],"about_ca_topic_score_codex":0.0011573303,"about_ca_topic_score_gemma":0.0015711024,"teacher_disagreement_score":0.007716562,"about_ca_system_score_codex":0.00085524033,"about_ca_system_score_gemma":0.0007550069,"threshold_uncertainty_score":0.04080957},"labels":[],"label_agreement":null},{"id":"W4412393289","doi":"10.1177/0272989x251346894","title":"Process for Rapid Co-development of a Decision Aid Prototype for Population-wide Cancer Screening","year":2025,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Centre Intégré de Santé et Services Sociaux de la Gaspésie; Ministère de la Santé et des Services Sociaux (Québec); Institut National d'Excellence en Santé et en Services Sociaux; Université du Québec; Corporation d’Aménagement et de Protection de la Sainte-Anne","funders":"","keywords":"Delphi method; Knowledge translation; Process (computing); Process management; Knowledge management; Best practice; Computer science; Checklist; Population; Corporate governance; Stakeholder; Business; Medicine; Psychology; Public relations; Political science; Artificial intelligence","score_opus":0.24531577281920877,"score_gpt":0.5480549138819828,"score_spread":0.302739141062774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412393289","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04288114,0.00071935874,0.77877504,0.008501484,0.00082290673,0.12727943,0.0035961748,0.0071176663,0.03030682],"genre_scores_gemma":[0.043485824,0.00021056813,0.9203939,0.0007703724,0.000055628007,0.029797228,0.0009889494,0.0004491184,0.0038485005],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.868442,0.096870214,0.010471084,0.005504712,0.016393928,0.002318092],"domain_scores_gemma":[0.67449754,0.18338475,0.010078556,0.04053385,0.08493497,0.006570349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.18286346,0.002198671,0.001138501,0.0051833824,0.004150201,0.005214911,0.0039797346,0.0020540564,0.01788713],"category_scores_gemma":[0.24793848,0.0016504577,0.0025234027,0.0030476262,0.0024469122,0.004042587,0.009799383,0.0036874341,0.006039078],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009366167,0.0016141176,0.0061609717,0.005724421,0.00025612023,0.0015708641,0.060378846,0.0051575117,0.022183986,0.012471406,0.07014947,0.81339574],"study_design_scores_gemma":[0.0014421795,0.0032222616,0.014776208,0.005683864,0.00042540606,0.0012811172,0.03639157,0.020744944,0.040863544,0.025103364,0.8491182,0.0009473982],"about_ca_topic_score_codex":0.017070077,"about_ca_topic_score_gemma":0.03586566,"teacher_disagreement_score":0.18286346,"about_ca_system_score_codex":0.008380584,"about_ca_system_score_gemma":0.04776421,"threshold_uncertainty_score":0.96708596},"labels":[],"label_agreement":null},{"id":"W4414252417","doi":"10.1177/0272989x251368866","title":"Integrating Shared Decision Making and Decision Support Tools into Clinical Practice Guidelines: What Does It Take? A Qualitative Study","year":2025,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Decision support system; Qualitative research; Inclusion (mineral); Clinical decision support system; Clinical Practice; Decision aids; MEDLINE; Decision analysis","score_opus":0.33853877625651563,"score_gpt":0.6476444398542482,"score_spread":0.3091056635977326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414252417","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9542323,0.0023555455,0.01327985,0.017441697,0.00024707362,0.0014965079,0.0004150224,0.000044436983,0.010487554],"genre_scores_gemma":[0.9849028,0.0017039604,0.0053546308,0.003762567,0.00002965568,0.0015730925,0.00011931105,0.00004137065,0.0025125653],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.94595873,0.045924284,0.0013455525,0.0015913241,0.0022944917,0.0028856187],"domain_scores_gemma":[0.88948506,0.09360107,0.0035753052,0.0015477006,0.0062436876,0.0055472963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.060220487,0.0005729366,0.0010611735,0.0025074019,0.011259787,0.005502629,0.0024339466,0.00326058,0.0035616662],"category_scores_gemma":[0.07177356,0.0010681638,0.0006843083,0.0029096068,0.011642856,0.008234018,0.0073479963,0.0041828062,0.00048888056],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035361027,0.000047851136,0.0017361286,0.000328485,0.0000049652426,0.00053765933,0.9889537,0.000046900193,0.0003153047,0.0021891452,0.00051760266,0.0052867923],"study_design_scores_gemma":[0.000009895148,0.00004967834,0.00049633445,0.00060847786,0.000004015617,0.00016123436,0.9895495,0.000114650786,0.00015975474,0.0006768491,0.008156047,0.000013542203],"about_ca_topic_score_codex":0.01227897,"about_ca_topic_score_gemma":0.014993297,"teacher_disagreement_score":0.060220487,"about_ca_system_score_codex":0.012505688,"about_ca_system_score_gemma":0.01676615,"threshold_uncertainty_score":0.31848025},"labels":[],"label_agreement":null},{"id":"W4416222288","doi":"10.1177/0272989x251388915","title":"Vaccination Strategies against HPV Infection and Cervical Cancer in China: A Transmission Modeling Study","year":2025,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Natural Science Foundation of China; Natural Science Foundation of Guangxi Zhuang Autonomous Region","keywords":"Vaccination; Cervical cancer; HPV infection; Transmission (telecommunications); Incidence (geometry); Cancer; Epidemiology; Disease burden; Disease Eradication","score_opus":0.02889525165772696,"score_gpt":0.42143614367560567,"score_spread":0.39254089201787873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416222288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98253495,0.0008791872,0.01044885,0.0005467681,0.000024930561,0.00012719796,0.00082212,0.0000760827,0.00453994],"genre_scores_gemma":[0.9945844,0.00062046794,0.0019091865,0.00006107468,0.000015310869,0.00009685492,0.00037155877,0.000014561812,0.0023266384],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995365,0.00018874144,0.000024159315,0.00007941785,0.00004397882,0.00012719992],"domain_scores_gemma":[0.9986608,0.000849889,0.0001631621,0.000050548104,0.00018898548,0.00008664161],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017070873,0.0010005902,0.0008928941,0.0012700937,0.0006189434,0.0008764438,0.0018109021,0.0011237824,0.0029508797],"category_scores_gemma":[0.0025168497,0.0004510341,0.0016921439,0.0009634872,0.00037166115,0.00096574845,0.00083825015,0.00063138903,0.00019063332],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010254407,0.00020120839,0.038027663,0.000117174815,0.00020056697,0.0004908872,0.0001896351,0.9497889,0.0005345597,0.0028286218,0.00087443,0.0066437474],"study_design_scores_gemma":[0.000023522487,0.00006853471,0.004640687,0.000012023257,0.00007089079,0.0000327754,0.00006915436,0.9941398,0.000080941914,0.000551066,0.00029783812,0.000012732961],"about_ca_topic_score_codex":0.1345342,"about_ca_topic_score_gemma":0.046400636,"teacher_disagreement_score":0.1345342,"about_ca_system_score_codex":0.0027102537,"about_ca_system_score_gemma":0.0028489858,"threshold_uncertainty_score":0.2675022},"labels":[],"label_agreement":null},{"id":"W4416910737","doi":"10.1177/0272989x251395096","title":"When Do Published Cost-Effectiveness Analyses Include Societal Costs? An Empirical Analysis, 2013–2023","year":2025,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"AstraZeneca United States","keywords":"Odds; Odds ratio; Inclusion (mineral); Health care; Cost–benefit analysis; Productivity; Logistic regression; Economic impact analysis; Multivariate analysis","score_opus":0.43270332424000224,"score_gpt":0.5730518000136273,"score_spread":0.14034847577362508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416910737","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"reporting","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"reporting","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053890232,0.8742358,0.014125537,0.032609243,0.0020630152,0.000685108,0.014490017,0.00009620087,0.007804833],"genre_scores_gemma":[0.79277027,0.16385019,0.012396867,0.015212973,0.004188344,0.0017003147,0.00909257,0.00024581776,0.0005427012],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.8055815,0.122370325,0.035950415,0.0063951076,0.0270185,0.0026840973],"domain_scores_gemma":[0.41477695,0.43503755,0.085770845,0.014645331,0.04791355,0.0018558501],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.17388158,0.0017374967,0.005323068,0.011437625,0.0005316802,0.009082372,0.002506747,0.0024861512,0.003241015],"category_scores_gemma":[0.52149457,0.0012931635,0.009387454,0.017694023,0.0017952612,0.010996704,0.0026838852,0.004900399,0.000448493],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0044967183,0.00034990482,0.29229593,0.07288871,0.13004203,0.00040818736,0.0009106419,0.017783832,0.00029773422,0.025374956,0.043109585,0.41204166],"study_design_scores_gemma":[0.0021519794,0.0014573662,0.5237284,0.1672178,0.098157234,0.0020261179,0.0027996418,0.028395234,0.001941923,0.039575145,0.13190782,0.00064133137],"about_ca_topic_score_codex":0.010170109,"about_ca_topic_score_gemma":0.008782192,"teacher_disagreement_score":0.8261184,"about_ca_system_score_codex":0.007363163,"about_ca_system_score_gemma":0.004832961,"threshold_uncertainty_score":0.91958463},"labels":[],"label_agreement":null}]}