{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":336,"total_is_capped":false,"direct_labels_cover":3,"predictions_cover":336,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"5ed1a7dabd6a","filters":{"venue":"Medical Care"}},"results":[{"id":"W2061326496","doi":"10.1097/01.mlr.0000182534.19832.83","title":"Coding Algorithms for Defining Comorbidities in ICD-9-CM and ICD-10 Administrative Data","year":2005,"lang":"en","type":"article","venue":"Medical Care","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":10649,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Calgary; University of Alberta","funders":"","keywords":"ICD-10; Algorithm; Medicine; Coding (social sciences); Diagnosis code; Comorbidity; Current Procedural Terminology; Data mining; Computer science; Statistics; Population; Internal medicine; Mathematics; Surgery","retraction":null,"screen_n_in":null,"score":{"opus":0.4388182480607153,"gpt":0.537183217276309,"spread":0.09836496921559368,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00197658,0.0001296759,0.0003057009,0.00008788841,0.0005827587,0.00001274154,0.0002916649,0.0003326833,0.001706898],"category_scores_gemma":[0.004014481,0.0001088117,0.00001982139,0.000104175,0.000115628,0.0002188869,0.0002187529,0.0008333655,0.0001251634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001554791,"about_ca_system_score_gemma":0.0009343986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000137219,"about_ca_topic_score_gemma":0.001551016,"domain_scores_codex":[0.9977705,0.0002001768,0.0007239121,0.0002597936,0.0005292639,0.0005162859],"domain_scores_gemma":[0.9972259,0.001770055,0.000154548,0.0002817989,0.0001276279,0.0004400583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002768842,0.00008019509,0.02192427,0.005903879,0.00002809031,0.0000369266,0.1012313,0.000004014385,0.000001863321,0.01633288,0.3035918,0.550588],"study_design_scores_gemma":[0.004055376,0.0003237283,0.008146698,0.002209956,0.00002689568,0.00001035826,0.06628975,0.04358803,0.00001085165,0.000263817,0.8747505,0.0003240148],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4535385,0.01968724,0.04682188,0.220881,0.008115213,0.01073845,0.005697131,0.001353132,0.2331675],"genre_scores_gemma":[0.9795955,0.0003363031,0.006529239,0.009076497,0.001281534,0.0002738321,0.00178312,0.00002389676,0.0011001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5711588,"threshold_uncertainty_score":0.9992056,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1977733462","doi":"10.1097/01.mlr.0000062554.74615.4c","title":"Interpretation of Changes in Health-related Quality of Life","year":2003,"lang":"en","type":"review","venue":"Medical Care","topic":"Cancer survivorship and care","field":"Medicine","cited_by":4613,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Consistency (knowledge bases); Quality of life (healthcare); Statistics; Interpretation (philosophy); Range (aeronautics); Quality (philosophy); Psychology; Limit (mathematics); Population; Medicine; Econometrics; Demography; Mathematics; Computer science; Environmental health","retraction":null,"screen_n_in":null,"score":{"opus":0.07896491717363466,"gpt":0.4126259940217887,"spread":0.333661076848154,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001024614,0.0001951981,0.002688394,0.0002169055,0.000008107094,0.000001396211,0.0001284255,0.000496945,0.0007128002],"category_scores_gemma":[0.001259814,0.0001515468,0.0003319268,0.0004806395,0.0001017098,0.00001002479,0.00003399484,0.0005558189,0.000004118771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002247622,"about_ca_system_score_gemma":0.001818507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00254343,"about_ca_topic_score_gemma":0.009745053,"domain_scores_codex":[0.9967114,0.0006610962,0.001425925,0.0002491849,0.0007732856,0.0001791611],"domain_scores_gemma":[0.99838,0.0002391446,0.0006556914,0.0003017886,0.0001526405,0.0002707589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000030046,0.00003596742,0.0002386473,0.1544533,0.00005284693,0.000006703981,0.002951872,4.184431e-8,3.001943e-8,0.0000608759,0.0001343251,0.8420354],"study_design_scores_gemma":[0.001069933,0.000447,0.0002590836,0.1099793,0.0002481153,0.00001560838,0.002793987,0.000004345083,0.000001360495,0.0000137757,0.8849369,0.0002305576],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002132366,0.997048,0.00001433787,0.0002888116,0.0005292698,0.0005392972,0.00006922692,0.00001380379,0.001284058],"genre_scores_gemma":[0.01045166,0.9886315,0.000008912708,0.0003381325,0.00005648794,0.00004770247,0.0003572456,0.00002482078,0.00008354738],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8848026,"threshold_uncertainty_score":0.7804662,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2045030413","doi":"10.1097/mlr.0b013e31819432e5","title":"A Modification of the Elixhauser Comorbidity Measures Into a Point System for Hospital Death Using Administrative Data","year":2009,"lang":"en","type":"article","venue":"Medical Care","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":2168,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Calgary; Institute for Clinical Evaluative Sciences","funders":"","keywords":"Comorbidity; Confounding; Medicine; Logistic regression; Internal medicine; Emergency medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.1951734816195172,"gpt":0.4175042067404752,"spread":0.222330725120958,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002887506,0.0001192632,0.0002379289,0.00003036792,0.00008486824,0.00001746392,0.0003999096,0.00007665571,0.00002517781],"category_scores_gemma":[0.0005780637,0.00007858333,0.00008712288,0.0001110619,0.0001074028,0.00008381905,0.000114907,0.0001176212,0.000001228785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002326907,"about_ca_system_score_gemma":0.000639516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000118838,"about_ca_topic_score_gemma":0.00004595264,"domain_scores_codex":[0.9984828,0.00004942019,0.0002739889,0.0002788597,0.000759565,0.0001553532],"domain_scores_gemma":[0.9987023,0.00004240492,0.0001175809,0.0007913462,0.000208854,0.0001374922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.007187204,0.01082528,0.08992861,0.05701793,0.004889915,0.001173221,0.08623862,0.0005819189,0.01019761,0.3036336,0.09823162,0.3300945],"study_design_scores_gemma":[0.03353322,0.007861836,0.4991188,0.0162021,0.008967238,0.0002040677,0.2363088,0.1407229,0.01873739,0.005863053,0.03008832,0.002392364],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9546788,0.002297368,0.0209391,0.01197556,0.0007116774,0.003815145,0.0003662187,0.0001808194,0.005035255],"genre_scores_gemma":[0.9987215,0.000008934441,0.0006660771,0.0001640244,0.000181784,0.00002009205,0.0002135419,0.000009320838,0.00001477317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4091902,"threshold_uncertainty_score":0.3204535,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2051883403","doi":"10.1097/00005650-200202000-00006","title":"Multiattribute and Single-Attribute Utility Functions for the Health Utilities Index Mark 3 System","year":2002,"lang":"en","type":"article","venue":"Medical Care","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":1334,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Institute of Health Economics; University of Alberta","funders":"","keywords":"Health Utilities Index; Preference; Intraclass correlation; Population; Index (typography); Quality of life (healthcare); Statistics; Goodness of fit; Quality (philosophy); Econometrics; Psychology; Actuarial science; Psychometrics; Mathematics; Medicine; Computer science; Health related quality of life; Economics; Environmental health","retraction":null,"screen_n_in":null,"score":{"opus":0.3902387902699609,"gpt":0.3951629213106083,"spread":0.004924131040647373,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008943476,0.000209887,0.0008676088,0.0001276375,0.0007735732,0.00009520904,0.0002970576,0.0002347842,0.001170998],"category_scores_gemma":[0.005464796,0.0001995114,0.0001586824,0.0001689387,0.0002115461,0.0001819559,0.00008595741,0.0002948395,0.0003800624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007097758,"about_ca_system_score_gemma":0.00009387239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000949101,"about_ca_topic_score_gemma":0.0005903044,"domain_scores_codex":[0.9957768,0.0003345407,0.002516541,0.0005763956,0.0002204807,0.0005752165],"domain_scores_gemma":[0.9953562,0.002637722,0.000856148,0.0005621084,0.000130237,0.0004575668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004947489,0.0002872486,0.2776058,0.007313365,0.0003085762,0.00000363047,0.01716142,0.00003025443,1.053264e-7,0.0231155,0.6498961,0.02422853],"study_design_scores_gemma":[0.0021142,0.0002839684,0.05813563,0.0002781393,0.0000218227,0.00002274193,0.03543216,0.1443442,4.81856e-7,0.0002685287,0.758666,0.0004321468],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08630158,0.1983574,0.1808243,0.4993574,0.007922699,0.006781768,0.01395596,0.000663019,0.005835936],"genre_scores_gemma":[0.9892505,0.0002799945,0.0001937984,0.008153265,0.0005699081,0.0003246865,0.00009526455,0.00002886903,0.001103727],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9029489,"threshold_uncertainty_score":0.9997421,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2096782143","doi":"10.1097/00005650-200503000-00003","title":"US Valuation of the EQ-5D Health States","year":2005,"lang":"en","type":"article","venue":"Medical Care","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":1293,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Institute of Health Economics; University of Alberta","funders":"Agency for Healthcare Research and Quality","keywords":"EQ-5D; Statistics; Econometrics; Preference; Mathematics; Population; Sample size determination; Random effects model; Sampling (signal processing); Sample (material); Simple random sample; Valuation (finance); Ordinal data; Computer science; Economics; Medicine; Meta-analysis; Environmental health","retraction":null,"screen_n_in":null,"score":{"opus":0.4435256640653655,"gpt":0.4418314813518572,"spread":0.001694182713508241,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01017129,0.0001029446,0.0005494085,0.00009094606,0.0001472781,0.00001648234,0.0003324654,0.0001177071,0.001316313],"category_scores_gemma":[0.003736689,0.00009562556,0.0001109341,0.0001537313,0.0000935233,0.000131343,0.0000618063,0.0001863538,0.0006042638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005717364,"about_ca_system_score_gemma":0.0005054825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001237753,"about_ca_topic_score_gemma":0.001248563,"domain_scores_codex":[0.9962802,0.0003557656,0.002532266,0.0002775976,0.000274302,0.00027987],"domain_scores_gemma":[0.9976232,0.000424604,0.001236304,0.0004166331,0.00008301657,0.0002162646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002247735,0.0002895417,0.5212853,0.002245071,0.0001240989,8.533938e-7,0.05547529,0.002192234,0.000001485284,0.1466081,0.234556,0.03719959],"study_design_scores_gemma":[0.00179402,0.0001884603,0.2932685,0.000349747,0.000009173938,0.000006450555,0.006630292,0.02133913,0.00003591605,0.01194224,0.6640466,0.0003895041],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5989279,0.01367101,0.003027037,0.3771482,0.001222722,0.00090632,0.0003826492,0.00005581515,0.004658369],"genre_scores_gemma":[0.9605328,0.0001973076,0.0006975142,0.03769245,0.0004936813,0.00003726482,0.00005510749,0.00001726587,0.0002765554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4294906,"threshold_uncertainty_score":0.9995966,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1974173658","doi":"10.1097/01.mlr.0000118861.56848.ee","title":"Comparison of the Elixhauser and Charlson/Deyo Methods of Comorbidity Measurement in Administrative Data","year":2004,"lang":"en","type":"article","venue":"Medical Care","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":588,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"South Health Campus","funders":"","keywords":"Medicine; Comorbidity; Statistic; Statistics; Myocardial infarction; Emergency medicine; Internal medicine; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.3786822726240237,"gpt":0.5335639574066661,"spread":0.1548816847826424,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007935421,0.0001036008,0.0003803506,0.00003949867,0.00002209825,0.000004686225,0.0003155633,0.00006780273,0.000172817],"category_scores_gemma":[0.0008382333,0.00006859509,0.00004005381,0.0001657207,0.0003337738,0.00004311278,0.0003440725,0.0002178462,7.711913e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001185632,"about_ca_system_score_gemma":0.0006730897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002585256,"about_ca_topic_score_gemma":0.0009927903,"domain_scores_codex":[0.9981296,0.0001276976,0.0003651991,0.0002256819,0.001016577,0.0001352422],"domain_scores_gemma":[0.9989846,0.00005957234,0.0001121612,0.000609761,0.000114532,0.0001194112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001133292,0.004994738,0.7563412,0.01408395,0.00107585,0.0002478667,0.03915417,0.00007751954,0.0035796,0.01712462,0.01179618,0.150391],"study_design_scores_gemma":[0.008415435,0.0006736557,0.9288171,0.002589743,0.0005732476,0.000009755713,0.03297025,0.0004895093,0.01545649,0.0006567962,0.00910434,0.0002436862],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666119,0.008976315,0.00135314,0.008626715,0.0003722359,0.001310843,0.0001261034,0.00003418646,0.01258856],"genre_scores_gemma":[0.9988445,0.00006238813,0.0008590168,0.0001335753,0.00003650466,0.000008287804,0.00004053883,0.000006821518,0.00000833645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1724759,"threshold_uncertainty_score":0.2797227,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2050034771","doi":"10.1097/00005650-200208000-00007","title":"Validity of Information on Comorbidity Derived From ICD-9-CCM Administrative Data","year":2002,"lang":"en","type":"article","venue":"Medical Care","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":583,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Calgary General Hospital; University of Calgary","funders":"","keywords":"Comorbidity; Medicine; Odds; Kappa; Charlson comorbidity index; Odds ratio; Minimum Data Set; Chart; Emergency medicine; Demography; Statistics; Internal medicine; Logistic regression","retraction":null,"screen_n_in":null,"score":{"opus":0.1787560665848096,"gpt":0.3765424533920753,"spread":0.1977863868072657,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001368465,0.0001270773,0.0002582091,0.00005002273,0.00004094991,0.00001802387,0.0003374794,0.0001001699,0.009030135],"category_scores_gemma":[0.0009638838,0.0001057003,0.00005334659,0.0001081221,0.0001670419,0.000234388,0.0002055849,0.0002155277,0.0002107265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008487684,"about_ca_system_score_gemma":0.0001639474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001504114,"about_ca_topic_score_gemma":0.00008424785,"domain_scores_codex":[0.9982979,0.00006392144,0.0003047279,0.0002009058,0.0009767662,0.0001557783],"domain_scores_gemma":[0.998637,0.0001550096,0.0001014274,0.0007741601,0.00009540657,0.0002369494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001130271,0.002527457,0.05764856,0.003938881,0.0008616463,0.001053935,0.01661601,0.00001714347,0.0001533863,0.003713304,0.6784021,0.2339373],"study_design_scores_gemma":[0.01577605,0.002911485,0.6723442,0.001945747,0.001287125,0.00002037117,0.02713784,0.0157845,0.003812392,0.0006727867,0.2573881,0.0009194053],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8649618,0.0003646853,0.0007328507,0.004725626,0.0004920377,0.0007038767,0.001514602,0.0001555214,0.126349],"genre_scores_gemma":[0.9951875,0.0001081476,0.0001606442,0.0008341466,0.000176688,0.000008793039,0.003466482,0.000006588922,0.00005107339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6146957,"threshold_uncertainty_score":0.9918758,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2405193268","doi":"10.1097/mlr.0000000000000447","title":"A Time Trade-off-derived Value Set of the EQ-5D-5L for Canada","year":2015,"lang":"en","type":"article","venue":"Medical Care","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":485,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Université de Montréal; University of Alberta; St. Joseph’s Healthcare Hamilton; University of British Columbia; Hospital for Sick Children; Institute for Clinical Evaluative Sciences; McMaster University","funders":"Canadian Institutes of Health Research","keywords":"EQ-5D; Censoring (clinical trials); Socioeconomic status; Population; Statistics; Time-trade-off; Dimension (graph theory); Demographics; Demography; Mathematics; Econometrics; Medicine; Quality of life (healthcare); Environmental health","retraction":null,"screen_n_in":null,"score":{"opus":0.2760068157768919,"gpt":0.3783320079101588,"spread":0.1023251921332669,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005672952,0.0001289238,0.0006786851,0.00005247031,0.00009959795,0.0000134129,0.0004679251,0.0001604516,0.0003462254],"category_scores_gemma":[0.008812346,0.0001214613,0.0001233942,0.0001157636,0.0001114833,0.00007331317,0.00006318121,0.0001573897,0.0001127706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007462071,"about_ca_system_score_gemma":0.002362626,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07948496,"about_ca_topic_score_gemma":0.0962715,"domain_scores_codex":[0.9970281,0.0002170287,0.001869795,0.0003040314,0.0002688914,0.0003122124],"domain_scores_gemma":[0.9976035,0.0007264016,0.0007661127,0.0004324211,0.00007992404,0.0003916109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003664803,0.00005089557,0.01756839,0.0009918266,0.0001293367,0.000003243057,0.01712734,0.0003009167,0.000003065773,0.02161418,0.9403481,0.001826068],"study_design_scores_gemma":[0.002292959,0.0001342318,0.01090204,0.000154134,0.00001824639,0.000008208957,0.008820419,0.01522599,0.00004345275,0.003228613,0.958805,0.0003666612],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7085555,0.007501199,0.0007187567,0.2680742,0.00307861,0.00189155,0.003305165,0.00005216879,0.006822866],"genre_scores_gemma":[0.9779029,0.00001516484,0.0003630932,0.02027542,0.0006595476,0.0001111955,0.000103407,0.00003208574,0.0005372006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2693474,"threshold_uncertainty_score":0.9995369,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2038481253","doi":"10.1097/mlr.0b013e318032937e","title":"Health Beliefs, Disease Severity, and Patient Adherence","year":2007,"lang":"en","type":"review","venue":"Medical Care","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":482,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Victoria Park","funders":"National Institute on Aging","keywords":"Seriousness; Medicine; Disease; Moderation; Illness severity; Severity of illness; Clinical psychology; Rating scale; Family medicine; Psychiatry; Psychology; Internal medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.09873205018513126,"gpt":0.433601035621421,"spread":0.3348689854362897,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002331355,0.0003273507,0.001402535,0.0001012791,0.00009351697,0.00001396678,0.0002131227,0.0002965915,0.002064669],"category_scores_gemma":[0.0004919725,0.0002378291,0.0002062344,0.0002684133,0.0002011831,0.00002370164,0.000153015,0.0008092613,0.0006092923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001757514,"about_ca_system_score_gemma":0.003177444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004491179,"about_ca_topic_score_gemma":0.00001278918,"domain_scores_codex":[0.99696,0.0001149393,0.000698742,0.0005418654,0.001294039,0.0003904212],"domain_scores_gemma":[0.9967473,0.0001104632,0.0002548851,0.0005172212,0.0001185649,0.002251524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006893598,0.00005017137,0.0001013109,0.03234157,0.00002148096,0.0001968713,0.0001632199,8.806839e-10,7.776741e-10,0.00003903604,0.0193357,0.9477438],"study_design_scores_gemma":[0.0002461484,0.000207069,0.0003925631,0.04448084,0.0001451839,0.0001361007,0.0001237653,0.000001674887,2.062267e-8,0.00001176047,0.954065,0.0001898973],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000008266204,0.9952618,0.00006422277,0.001468681,0.0003136604,0.000998765,0.00005771575,0.00007094468,0.001755919],"genre_scores_gemma":[0.00007041207,0.9920775,0.0001468522,0.006085979,0.0003036159,0.0001342193,0.0004379154,0.00003112371,0.0007123374],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9475539,"threshold_uncertainty_score":0.9988476,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2019173615","doi":"10.1097/00005650-200411000-00003","title":"Patient Trust","year":2004,"lang":"en","type":"article","venue":"Medical Care","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":454,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Centre for Family Medicine","funders":"Agency for Healthcare Research and Quality","keywords":"MEDLINE; Business; Psychology; Medicine; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.1384119167084027,"gpt":0.434945430442285,"spread":0.2965335137338823,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00011061,0.000119069,0.0001882279,0.00005828272,0.0006987937,0.00000340376,0.000383984,0.0003213227,0.002167851],"category_scores_gemma":[0.001350073,0.0001013008,0.00005767133,0.0001934262,0.00009305653,0.00005748207,0.0003086912,0.001073182,0.001190235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005600405,"about_ca_system_score_gemma":0.001321298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006799546,"about_ca_topic_score_gemma":0.0006294733,"domain_scores_codex":[0.9975164,0.0004187336,0.0005561056,0.0002285081,0.0008179162,0.0004623566],"domain_scores_gemma":[0.9980177,0.0002624477,0.0001359375,0.0007332977,0.0003363517,0.0005143237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001533559,0.0003177437,0.2027655,0.002571206,0.00004522912,0.0001391921,0.5552952,0.00003895835,0.0000216407,0.02694316,0.04130001,0.1704088],"study_design_scores_gemma":[0.00390231,0.0004316697,0.02033133,0.001602953,0.00001907686,0.0000074853,0.2156743,0.00003893924,0.0001166898,0.002876588,0.754571,0.0004276212],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8135319,0.01699862,0.0003104685,0.06604018,0.005915553,0.002872488,0.0001744865,0.0009215225,0.09323481],"genre_scores_gemma":[0.9879355,0.00006262246,0.0006905034,0.01045796,0.0002330718,0.0003490326,0.0001346136,0.00002434959,0.0001123221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.713271,"threshold_uncertainty_score":0.9995875,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2088673482","doi":"10.1097/01.mlr.0000182493.57090.c1","title":"Self-Reported Health Status of the General Adult U.S. Population as Assessed by the EQ-5D and Health Utilities Index","year":2005,"lang":"en","type":"article","venue":"Medical Care","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":392,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta; Institute of Health Economics","funders":"Agency for Healthcare Research and Quality","keywords":"Health Utilities Index; Demography; Population; Medicine; Intraclass correlation; Gerontology; Index (typography); Psychology; Psychometrics; Clinical psychology; Health related quality of life","retraction":null,"screen_n_in":null,"score":{"opus":0.2649949275749739,"gpt":0.4347863969322504,"spread":0.1697914693572765,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007183972,0.0001545252,0.0006959045,0.00008114275,0.0003471196,0.00004009682,0.0002464751,0.0001520149,0.0002655646],"category_scores_gemma":[0.002345971,0.0001239826,0.00008483441,0.000164847,0.0001132241,0.0001607852,0.00007185694,0.0002892431,0.00003080682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009229685,"about_ca_system_score_gemma":0.001076729,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03870193,"about_ca_topic_score_gemma":0.00720199,"domain_scores_codex":[0.9953249,0.0005156122,0.002957433,0.0003706777,0.0003290345,0.0005024137],"domain_scores_gemma":[0.9967353,0.000314356,0.001975636,0.0004732763,0.0001013444,0.0004000466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000105992,0.0001077881,0.8745908,0.001044684,0.00009811347,2.667252e-7,0.01664885,0.00004592551,1.325943e-7,0.03374683,0.06442999,0.009276087],"study_design_scores_gemma":[0.001253122,0.000141324,0.8093929,0.0001367111,0.000007840373,0.00001001721,0.007072064,0.01112158,0.000002382114,0.001848936,0.168784,0.0002290782],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7566854,0.015096,0.0002732174,0.2250173,0.0005130004,0.0009063732,0.0003555758,0.00005288295,0.001100186],"genre_scores_gemma":[0.9544856,0.0009744096,0.0003336675,0.04350868,0.0003076733,0.00004541118,0.0001387626,0.00002032945,0.0001854909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1978001,"threshold_uncertainty_score":0.9676994,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1988984458","doi":"10.1097/01.mlr.0000132391.59713.0d","title":"Validity of Procedure Codes in International Classification of Diseases, 9th revision, Clinical Modification Administrative Data","year":2004,"lang":"en","type":"article","venue":"Medical Care","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":366,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Alberta Health Services; University of Calgary","funders":"","keywords":"Coding (social sciences); Data quality; Medicine; Computer science; Data mining; Statistics; Operations management; Mathematics; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.6237739865793028,"gpt":0.6062330047988461,"spread":0.01754098178045671,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002669344,0.00009844525,0.0003612877,0.000102445,0.0001126937,0.000002918047,0.0005976374,0.0003636842,0.0003427419],"category_scores_gemma":[0.01383583,0.00007931457,0.00004506765,0.000229179,0.0001983419,0.000188173,0.0001488756,0.0007323469,0.00002692613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001825027,"about_ca_system_score_gemma":0.002797302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001252801,"about_ca_topic_score_gemma":0.0002595016,"domain_scores_codex":[0.9961511,0.0005176076,0.001805059,0.0002821385,0.001042914,0.0002011063],"domain_scores_gemma":[0.9970922,0.0007723064,0.000734464,0.0005200387,0.0005771123,0.0003038858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004629845,0.0007316229,0.8951862,0.005580852,0.00002631017,0.000005765178,0.01345875,0.00001812375,0.00001544393,0.01477926,0.01433082,0.05540388],"study_design_scores_gemma":[0.003078236,0.000286363,0.9532402,0.00328571,0.00004095878,0.00000128066,0.01263135,0.005717394,0.00002100687,0.001124057,0.02042073,0.0001527454],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9418654,0.0006925642,0.02034076,0.02420816,0.002790533,0.002316368,0.001551373,0.000116197,0.006118578],"genre_scores_gemma":[0.9953417,0.0004782687,0.0007630064,0.0005177607,0.0003070895,0.000037952,0.002517298,0.00000726584,0.00002969747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.058054,"threshold_uncertainty_score":0.9944711,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2036378305","doi":"10.1097/00005650-200502000-00012","title":"Comparison of Coding of Heart Failure and Comorbidities in Administrative and Clinical Data for Use in Outcomes Research","year":2005,"lang":"en","type":"article","venue":"Medical Care","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":361,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Université de Montréal; Montreal Heart Institute; Sunnybrook Health Science Centre; Heart and Stroke Foundation; University of Toronto; Institute for Clinical Evaluative Sciences","funders":"","keywords":"Heart failure; Coding (social sciences); Medicine; MEDLINE; Intensive care medicine; Emergency medicine; Internal medicine; Statistics; Mathematics; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.835869500357248,"gpt":0.7076753544341328,"spread":0.1281941459231153,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005342675,0.00006419997,0.0005040606,0.0001466692,0.0001256625,0.000003918844,0.0001550887,0.0002870071,0.00008125373],"category_scores_gemma":[0.009339699,0.000050081,0.00001618624,0.0001186105,0.0003299943,0.0001442152,0.000208206,0.001032637,0.000001410072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000463217,"about_ca_system_score_gemma":0.00049749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004860708,"about_ca_topic_score_gemma":0.0165909,"domain_scores_codex":[0.9971903,0.0006623389,0.001183511,0.0001677797,0.0005189027,0.0002771576],"domain_scores_gemma":[0.9921731,0.007062017,0.0001454571,0.0002210406,0.0001805025,0.0002178501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007797728,0.00005051884,0.97473,0.001243665,0.000003091854,5.668369e-7,0.008103047,1.814994e-7,4.879884e-7,0.000598729,0.01048503,0.004706729],"study_design_scores_gemma":[0.003166743,0.0004898831,0.8695498,0.001910395,0.00000802597,6.361852e-7,0.08440755,0.009658325,0.00001087722,0.00006515338,0.03064734,0.0000852368],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987998,0.0003278339,0.00009801691,0.01048872,0.0001034632,0.0006580562,0.0001581663,0.00000740494,0.0001603473],"genre_scores_gemma":[0.9970414,0.0001173986,0.002128438,0.000447425,0.00008337466,0.00002622397,0.0001317707,0.000004606694,0.00001937077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1051801,"threshold_uncertainty_score":0.9990051,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2016634746","doi":"10.1097/mlr.0b013e318215d5e2","title":"Using the Johns Hopkins Aggregated Diagnosis Groups (ADGs) to Predict Mortality in a General Adult Population Cohort in Ontario, Canada","year":2011,"lang":"en","type":"article","venue":"Medical Care","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":327,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Ottawa; Ottawa Hospital; Institute for Clinical Evaluative Sciences; Toronto Rehabilitation Institute; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Logistic regression; Ambulatory; Cohort; Population; Statistic; Psychological intervention; Demography; Retrospective cohort study; Cohort study; Gerontology; Comorbidity; Receiver operating characteristic; Emergency medicine; Statistics; Internal medicine; Environmental health","retraction":null,"screen_n_in":null,"score":{"opus":0.04602976547792254,"gpt":0.2954581366093963,"spread":0.2494283711314738,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002328066,0.0001780736,0.0003093869,0.0001694617,0.00004897382,0.00001440275,0.0001900363,0.0001029732,0.001471107],"category_scores_gemma":[0.0003342054,0.0001352883,0.00005567744,0.0004974604,0.0000559621,0.00006982974,0.0001136184,0.0003580623,0.000001872703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002333174,"about_ca_system_score_gemma":0.001627556,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9984217,"about_ca_topic_score_gemma":0.9997913,"domain_scores_codex":[0.9977825,0.00009183915,0.0004081841,0.0003432009,0.001002804,0.0003714767],"domain_scores_gemma":[0.9991482,0.00003197925,0.00006061861,0.0003686135,0.00007753458,0.0003130756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005405465,0.00008752873,0.9949041,0.00008445631,0.00004757371,0.0007025911,0.002016877,0.00008283202,4.859389e-7,0.000144339,0.0008802945,0.000994837],"study_design_scores_gemma":[0.001061931,0.00005481218,0.9949118,0.0003948722,0.0001259895,0.000005486623,0.00122621,0.00127072,0.00001175553,0.0000204642,0.0007810469,0.0001349245],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932179,0.00006584376,0.00002019637,0.0005453354,0.0003008104,0.0009574597,0.00002006371,0.0000334452,0.004838921],"genre_scores_gemma":[0.9977537,0.00004979843,0.00006306866,0.001573931,0.0001106235,0.0001657432,0.0002457008,0.00001802212,0.00001940415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004819517,"threshold_uncertainty_score":0.9994417,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2003697810","doi":"10.1097/00005650-200103000-00002","title":"Determining the Need for Hip and Knee Arthroplasty: The Role of Clinical Severity and Patients??? Preferences","year":2001,"lang":"en","type":"article","venue":"Medical Care","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":307,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"St. Michael's Hospital; Arthritis Research Centre of Canada; Institute for Clinical Evaluative Sciences; Public Health Ontario; Hospital for Sick Children; Women's College Hospital; Cancer Care Ontario; Toronto Public Health; University of Toronto","funders":"Arthritis Society","keywords":"Arthroplasty; Medicine; Physical therapy; Hip arthroplasty; Total knee arthroplasty; MEDLINE; Surgery","retraction":null,"screen_n_in":null,"score":{"opus":0.02447550383499038,"gpt":0.3123810892707794,"spread":0.287905585435789,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003672714,0.0001208058,0.0003424002,0.00002127265,0.0001406696,0.00001385524,0.00007400612,0.0001333421,0.00007603547],"category_scores_gemma":[0.002375861,0.00005929096,0.00008152375,0.00006762078,0.0006206643,0.0000451937,0.0001223069,0.0002597733,0.000002193038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007711346,"about_ca_system_score_gemma":0.00009572706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002552323,"about_ca_topic_score_gemma":0.0001970996,"domain_scores_codex":[0.9986764,0.00009015812,0.0003869821,0.0002084981,0.0004407513,0.0001971864],"domain_scores_gemma":[0.9982445,0.001116969,0.0001015908,0.0002026539,0.000140359,0.0001939297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009625117,0.00003435953,0.6799058,0.00003462604,0.00002023279,0.000001612693,0.001020363,3.767176e-8,8.909776e-7,0.00001874394,0.0001270901,0.31874],"study_design_scores_gemma":[0.002912229,0.0007605914,0.9650247,0.00007780189,0.00008497935,0.00001828188,0.004138317,0.0002608094,0.000017465,0.0001095284,0.02652374,0.00007152937],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963253,0.0008663475,0.00001699126,0.001516256,0.0002251014,0.0004999852,0.00001727319,0.00002076651,0.0005119443],"genre_scores_gemma":[0.9987341,0.0001212894,0.0001336355,0.0007316316,0.0001742689,0.00002522453,0.00001327112,0.00001144392,0.0000550964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3186685,"threshold_uncertainty_score":0.2844299,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2068129753","doi":"10.1097/01.mlr.0000220260.30768.32","title":"Quality Improvement Strategies for Hypertension Management","year":2006,"lang":"en","type":"review","venue":"Medical Care","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":299,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Interquartile range; Psychological intervention; Blood pressure; Data extraction; MEDLINE; Quality management; Emergency medicine; Physical therapy; Internal medicine; Nursing","retraction":null,"screen_n_in":null,"score":{"opus":0.1055033745825769,"gpt":0.3941252059904137,"spread":0.2886218314078368,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003377328,0.0004406149,0.002846438,0.0001182564,0.0001329503,0.00002845931,0.0001796795,0.0005029287,0.0001050846],"category_scores_gemma":[0.0000653029,0.0002755439,0.0008085741,0.0001297772,0.00009320614,0.00002624139,0.0002067017,0.0003969148,0.00003366749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004997638,"about_ca_system_score_gemma":0.0003596651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006374717,"about_ca_topic_score_gemma":0.00004282255,"domain_scores_codex":[0.997119,0.00006565404,0.0008173329,0.0005854444,0.001030609,0.0003819622],"domain_scores_gemma":[0.9985709,0.0002027705,0.0001804201,0.000519596,0.0003006004,0.0002257066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001423662,0.00008434129,0.000001320117,0.0793283,0.0006392022,0.0002075158,0.00003148794,1.180944e-8,1.004942e-7,0.0003851138,0.09535023,0.8239582],"study_design_scores_gemma":[0.001030446,0.0002218472,0.00001182959,0.009611572,0.007655947,0.00005228819,0.0009151616,8.63162e-7,4.399538e-7,0.00005900074,0.9801574,0.0002832065],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000002354844,0.9866403,0.000118111,0.0003644804,0.0005121831,0.002018813,0.00008267782,0.0001082308,0.01015279],"genre_scores_gemma":[0.00004337309,0.9936173,0.0004561273,0.002252389,0.000819376,0.0005911117,0.0007845865,0.00005724599,0.001378512],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8848072,"threshold_uncertainty_score":0.9999697,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2314261856","doi":"10.1097/mlr.0b013e318268aaff","title":"The Use of Patient-reported Outcomes (PRO) Within Comparative Effectiveness Research","year":2012,"lang":"en","type":"article","venue":"Medical Care","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":274,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; McGill University Health Centre","funders":"H2020 European Research Council","keywords":"Context (archaeology); Comparative effectiveness research; Medicine; Health care; MEDLINE; Outcomes research; Alternative medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.72763443549288,"gpt":0.5489693456009312,"spread":0.1786650898919487,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02541801,0.0001321307,0.0008168411,0.0001563415,0.0003383221,0.00004512089,0.0002819536,0.00016806,0.0002051487],"category_scores_gemma":[0.02369306,0.0001067323,0.0001104131,0.0002545388,0.0003447982,0.0003179382,0.0001192581,0.0004039943,0.0003790823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003908047,"about_ca_system_score_gemma":0.0002420077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001206648,"about_ca_topic_score_gemma":0.0002835616,"domain_scores_codex":[0.9943504,0.001717319,0.002688002,0.000294066,0.0004532441,0.0004969415],"domain_scores_gemma":[0.988345,0.009339735,0.00111618,0.00054881,0.0003060935,0.0003441492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003717562,0.0001103109,0.9229479,0.000281661,0.000120138,0.000001381846,0.02285653,0.00003138249,7.62748e-7,0.04615049,0.007025103,0.0004371419],"study_design_scores_gemma":[0.001327074,0.0002475039,0.8174908,0.0002631701,0.000012469,0.000007569483,0.02292366,0.0009751564,0.0001206808,0.002366734,0.1539051,0.0003601086],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884204,0.003429668,0.0002312945,0.004762731,0.001116598,0.0009112419,0.00007345109,0.00002448194,0.001030108],"genre_scores_gemma":[0.9982724,0.00002366264,0.0002650137,0.0009914865,0.0001358264,0.000177628,0.00002217523,0.0000160993,0.00009573119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.14688,"threshold_uncertainty_score":0.9845308,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2087756930","doi":"10.1097/00005650-200001000-00013","title":"Comparison of the EQ-5D and SF-12 Health Surveys in a General Population Survey in Alberta, Canada","year":2000,"lang":"en","type":"article","venue":"Medical Care","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":273,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Institute of Health Economics; University of Alberta","funders":"","keywords":"EQ-5D; Ceiling effect; Medicine; Depression (economics); Mental health; Population; Demography; SF-36; Psychology; Gerontology; Health related quality of life; Psychiatry; Environmental health; Alternative medicine; Internal medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.383863378770671,"gpt":0.4215798226087893,"spread":0.03771644383811834,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01605292,0.0001012473,0.000781423,0.00009325861,0.00006476591,0.00001100747,0.0001852525,0.0001165202,0.0005113757],"category_scores_gemma":[0.002642462,0.0001041107,0.00002961027,0.000198785,0.00004245155,0.00006928428,0.00002871056,0.0002178966,0.00001261763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008060834,"about_ca_system_score_gemma":0.0007402599,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9909628,"about_ca_topic_score_gemma":0.9987817,"domain_scores_codex":[0.9946302,0.002037677,0.002583798,0.0002890589,0.0001764147,0.0002828558],"domain_scores_gemma":[0.9981435,0.0008584778,0.0005613709,0.0002454281,0.00002077556,0.000170428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003069237,0.00002382337,0.9923778,0.0001242943,0.000003274913,2.471478e-7,0.002046046,0.0002348462,7.149744e-9,0.0004082621,0.002286514,0.002491843],"study_design_scores_gemma":[0.0004899304,0.00002056539,0.9915889,0.00007178847,4.44128e-7,6.498971e-7,0.0003414401,0.004826602,2.160304e-7,0.0001307284,0.002436014,0.00009273917],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807553,0.001625025,0.00001858608,0.0163805,0.0002577652,0.0003350931,0.0001905699,0.000003110507,0.0004340777],"genre_scores_gemma":[0.9960456,0.00005002681,0.00003352612,0.003475136,0.00005624533,0.00001522398,0.0001403148,0.00001032172,0.000173594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01529034,"threshold_uncertainty_score":0.5599205,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1986966996","doi":"10.1097/00005650-200410000-00004","title":"Using Administrative Data to Measure Ambulatory Mental Health Service Provision in Primary Care","year":2004,"lang":"en","type":"article","venue":"Medical Care","topic":"Mental Health Treatment and Access","field":"Psychology","cited_by":273,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Centre for Addiction and Mental Health; University of Toronto","funders":"","keywords":"Mental health; Medicine; Stratified sampling; Health care; Service (business); Data collection; Family medicine; Business; Psychiatry; Statistics","retraction":null,"screen_n_in":null,"score":{"opus":0.2148828555236553,"gpt":0.4822535239529374,"spread":0.2673706684292821,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002726963,0.0001882285,0.0002913625,0.00008627478,0.0002023104,0.00001692842,0.0005094446,0.0001648754,0.0003335036],"category_scores_gemma":[0.00001794014,0.0001630828,0.00002553829,0.0003066559,0.00003515764,0.0001309639,0.0002741076,0.000308689,0.00007818079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001371934,"about_ca_system_score_gemma":0.0009136818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003636526,"about_ca_topic_score_gemma":0.009666759,"domain_scores_codex":[0.9976864,0.0001708279,0.0003764162,0.0005875544,0.0007328312,0.0004458976],"domain_scores_gemma":[0.9987518,0.00002374298,0.00008028739,0.0005504565,0.00006034731,0.0005333402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001609682,0.001689178,0.07115445,0.004160079,0.0001049688,0.001133953,0.3348464,0.00002476825,0.0001102465,0.0004281133,0.004705333,0.5800328],"study_design_scores_gemma":[0.03220868,0.004780427,0.5808895,0.01011309,0.0001005282,0.0002618562,0.3337051,0.0001018579,0.0004643703,0.00009154291,0.03530807,0.001975026],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799381,0.006657071,0.00004870273,0.006581143,0.0009363061,0.001756032,0.0004468808,0.00006218765,0.003573522],"genre_scores_gemma":[0.9881782,0.00001002981,0.0006683248,0.008910561,0.0001660022,0.00004294251,0.001980092,0.00002370995,0.00002011889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5780578,"threshold_uncertainty_score":0.6650322,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2059581155","doi":"10.1097/00005650-200204000-00003","title":"Quality of Life of Individuals With Heart Failure","year":2002,"lang":"en","type":"article","venue":"Medical Care","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":270,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa; Queen's University; Ottawa Hospital","funders":"","keywords":"Medicine; Transitional care; Quality of life (healthcare); Psychological intervention; Heart failure; Randomized controlled trial; Population; Community hospital; Intervention (counseling); Emergency department; Physical therapy; Health care; Emergency medicine; Nursing; Internal medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.03168292098241611,"gpt":0.3018632067415634,"spread":0.2701802857591473,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002116316,0.00009461194,0.0004242911,0.00006039499,0.00001719392,0.00000204561,0.00006179894,0.0000916543,0.003464142],"category_scores_gemma":[0.0002728919,0.0000607885,0.00008044753,0.0001540629,0.0001229728,0.0000232885,0.0000356823,0.0001156049,0.00002970412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001882637,"about_ca_system_score_gemma":0.00006890605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008707638,"about_ca_topic_score_gemma":0.00009437306,"domain_scores_codex":[0.9984101,0.00005785703,0.0003029642,0.0001427456,0.000937272,0.0001490546],"domain_scores_gemma":[0.9992366,0.00006748673,0.00006424766,0.0002514973,0.0001071942,0.0002729089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005906778,0.0003831179,0.8903202,0.0009336727,0.0001886728,0.00001972481,0.002008677,4.837991e-7,0.00007984439,0.000365498,0.1009478,0.004693262],"study_design_scores_gemma":[0.009717369,0.002228048,0.3857453,0.0007027693,0.0003004086,0.00001678386,0.005950351,0.00002105483,0.002070849,0.00002068075,0.5929605,0.0002658468],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9601474,0.0009382993,0.00007125705,0.03276288,0.00004061729,0.0004435968,0.00001809253,0.00004554805,0.00553235],"genre_scores_gemma":[0.9959236,0.00001745212,0.002809957,0.0008294575,0.00006066665,0.00001289546,0.00002405731,0.000009062207,0.0003128412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5045748,"threshold_uncertainty_score":0.9974468,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1987557314","doi":"10.1097/mlr.0b013e3181ca2647","title":"The Relationship of 60 Disease Diagnoses and 15 Conditions to Preference-Based Health-Related Quality of Life in Ontario Hospital-Based Long-Term Care Residents","year":2010,"lang":"en","type":"article","venue":"Medical Care","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":264,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Institute for Clinical Evaluative Sciences; Toronto Rehabilitation Institute; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Medical diagnosis; Medicine; Quality of life (healthcare); Preference; Disease; Term (time); Gerontology; Long-term care; Health care; Family medicine; Nursing; Internal medicine; Statistics","retraction":null,"screen_n_in":null,"score":{"opus":0.08114208413841158,"gpt":0.40297396000118,"spread":0.3218318758627685,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006903629,0.0001366068,0.0004007909,0.0001321283,0.0004574918,0.000007802274,0.0002184348,0.0002560734,0.0003933399],"category_scores_gemma":[0.006116641,0.0001038954,0.00007978422,0.0002671385,0.0002430138,0.00003936172,0.0000597477,0.000945623,0.000007632852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000231418,"about_ca_system_score_gemma":0.005020607,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09306533,"about_ca_topic_score_gemma":0.7160095,"domain_scores_codex":[0.9970702,0.000712478,0.0009831759,0.000259605,0.000646339,0.0003282103],"domain_scores_gemma":[0.9949585,0.003202512,0.0003485831,0.0004404403,0.0003804723,0.0006694964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001677068,0.00008275973,0.979966,0.0008620514,0.000006370772,0.000005677179,0.01703746,0.000004252695,0.000001794792,0.0001687531,0.001205166,0.0004919913],"study_design_scores_gemma":[0.001590339,0.0001665807,0.9901628,0.001100791,0.00002170563,4.963653e-8,0.006617591,0.000002037928,0.000004505589,0.0001636588,0.00006835142,0.000101564],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895146,0.001440608,0.00001265484,0.00678142,0.000860124,0.001046974,0.0002107345,0.00002999153,0.000102899],"genre_scores_gemma":[0.9988124,0.00001247294,0.00003140158,0.0003446292,0.00004306525,0.000166956,0.0005093836,0.00001356123,0.00006610086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6229442,"threshold_uncertainty_score":0.912974,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2058873359","doi":"10.1097/00005650-200110000-00002","title":"Relation of Distribution- and Anchor-Based Approaches in Interpretation of Changes in Health-Related Quality of Life","year":2001,"lang":"en","type":"article","venue":"Medical Care","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":263,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University; Health Sciences Centre","funders":"","keywords":"Interpretation (philosophy); Relation (database); Quality (philosophy); Distribution (mathematics); Computer science; Data mining; Mathematics; Epistemology; Philosophy","retraction":null,"screen_n_in":null,"score":{"opus":0.342685221688791,"gpt":0.4160729718322624,"spread":0.07338775014347143,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01114133,0.00007892578,0.0008465654,0.0002393976,0.00001730762,0.000002872025,0.00009066144,0.0001755021,0.0001049083],"category_scores_gemma":[0.008145479,0.00009641359,0.00004147198,0.0002966108,0.0001121198,0.00008967431,0.00001852453,0.000144005,0.00000309205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002515174,"about_ca_system_score_gemma":0.0002228268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004276352,"about_ca_topic_score_gemma":0.004404315,"domain_scores_codex":[0.9951942,0.0005225831,0.003775767,0.0002256288,0.0001357728,0.0001460383],"domain_scores_gemma":[0.996928,0.0007901596,0.001951922,0.0001688565,0.00005234027,0.0001086755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006804994,0.0001011712,0.9756109,0.002092804,0.00001018362,2.097937e-7,0.006872958,0.0005500888,9.890094e-7,0.01276723,0.00006886852,0.001856507],"study_design_scores_gemma":[0.001380145,0.0001139994,0.957564,0.0004671377,0.000001352998,3.325237e-7,0.003702536,0.03503174,0.000007024058,0.001483484,0.0001557937,0.00009245822],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778377,0.004734115,0.002831681,0.01373733,0.00009337552,0.0003637123,0.0001760782,0.000006445585,0.0002195872],"genre_scores_gemma":[0.9990116,0.0001288278,0.0001787798,0.0004052139,0.00001719945,0.00002537114,0.0002216456,0.000006249284,0.000005123064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03448165,"threshold_uncertainty_score":0.9751488,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2067965122","doi":"10.1097/00005650-200301000-00013","title":"Measuring Chronic Patients’ Feelings of Being a Burden to their Caregivers","year":2003,"lang":"en","type":"article","venue":"Medical Care","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":260,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Feeling; Clinical psychology; Scale (ratio); Distress; Discriminant validity; Psychology; Caregiver burden; Psychometrics; Construct validity; Medicine; Psychiatry; Internal consistency; Social psychology; Internal medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.01184313197541173,"gpt":0.2285403118190884,"spread":0.2166971798436766,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001668981,0.0001098936,0.0002684913,0.0001031638,0.00004042592,0.000007064262,0.000104873,0.00005970084,0.000480282],"category_scores_gemma":[0.000496137,0.00007799704,0.0001569263,0.0001996816,0.000040206,0.00001736604,0.00006345269,0.0001054774,0.00002434203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001815795,"about_ca_system_score_gemma":0.0001677802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007165533,"about_ca_topic_score_gemma":0.00002295399,"domain_scores_codex":[0.9985108,0.00004196218,0.0002108569,0.0002080537,0.0008168977,0.000211477],"domain_scores_gemma":[0.9991328,0.00001884569,0.00003890521,0.0002129933,0.0001983379,0.0003981133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003129865,0.0008379807,0.07853836,0.006647931,0.001542118,0.000507853,0.1013282,0.0005143731,0.002686254,0.003035998,0.01184059,0.7922074],"study_design_scores_gemma":[0.02163937,0.003915988,0.1009275,0.00944009,0.002583599,0.00001328817,0.08589211,0.0005230769,0.02952516,0.0002309953,0.7436568,0.001651968],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743288,0.0008669641,0.0001796394,0.0006000568,0.0001961072,0.0003362826,0.000005453595,0.00002906458,0.02345765],"genre_scores_gemma":[0.9992701,0.00003394938,0.00006971085,0.0002859473,0.0001314165,0.00001400425,0.00002380329,0.0000139859,0.0001571234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7905554,"threshold_uncertainty_score":0.5258751,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2044184365","doi":"10.1097/mlr.0b013e3181484347","title":"Cross-National Comparative Performance of Three Versions of the ICD-10 Charlson Index","year":2007,"lang":"en","type":"article","venue":"Medical Care","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":258,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Calgary","funders":"","keywords":"Charlson comorbidity index; Medicine; Logistic regression; Statistics; Comorbidity; Receiver operating characteristic; Statistic; Diagnosis code; Index (typography); Population; Demography; Internal medicine; Mathematics; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.2327585030962916,"gpt":0.5044259325204773,"spread":0.2716674294241858,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001873646,0.0000769883,0.0002174833,0.00006713831,0.0004968541,0.000001339174,0.0002754956,0.0002708541,0.003429961],"category_scores_gemma":[0.001067668,0.00004856921,0.00005572158,0.0002474853,0.0002738161,0.00007377125,0.0001134348,0.0007500746,0.00008990034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001453713,"about_ca_system_score_gemma":0.00106398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009645991,"about_ca_topic_score_gemma":0.0002886298,"domain_scores_codex":[0.9973146,0.00009609874,0.0007310872,0.00009262194,0.001481089,0.0002844615],"domain_scores_gemma":[0.9978597,0.0006514288,0.0003333153,0.000163794,0.0007745309,0.0002172499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002341723,0.0000433904,0.9598707,0.001576917,0.00001306141,4.777094e-7,0.01949416,0.00002832921,0.000009828017,0.002246591,0.01060407,0.005878292],"study_design_scores_gemma":[0.00103897,0.0001114289,0.9634071,0.000691379,0.000006878529,6.393108e-7,0.003021246,0.003311584,0.0001682459,0.00004917045,0.02813106,0.00006231782],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9562225,0.0001067953,0.0004715931,0.001031587,0.000687068,0.0003300565,0.00003478504,0.00002003502,0.04109558],"genre_scores_gemma":[0.9981896,0.00001264383,0.00004390291,0.001075551,0.0002196213,0.0000128631,0.00003158905,0.000004099148,0.0004100755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04196715,"threshold_uncertainty_score":0.997481,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2049384445","doi":"10.1097/00005650-200109000-00006","title":"The Treatment of Neck and Low Back Pain","year":2001,"lang":"en","type":"article","venue":"Medical Care","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":258,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Institute for Work & Health","funders":"Health Canada; Workplace Safety and Insurance Board","keywords":"Medicine; Chiropractic; Neck pain; Health care; Back pain; Physical therapy; Low back pain; Population; National Health Interview Survey; Quality of life (healthcare); MEDLINE; Family medicine; Comorbidity; Alternative medicine; Psychiatry; Nursing; Environmental health","retraction":null,"screen_n_in":null,"score":{"opus":0.007512294103059008,"gpt":0.274533507075064,"spread":0.267021212972005,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001968343,0.00005018209,0.0001126827,0.00001209028,0.00003544899,0.000002555098,0.00002278492,0.00005769991,0.0002652374],"category_scores_gemma":[0.0003657703,0.00002395274,0.00005500182,0.00005302401,0.0001385406,0.000006527283,0.000004852201,0.00003899355,0.00001040498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002922234,"about_ca_system_score_gemma":0.00003909821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002973818,"about_ca_topic_score_gemma":0.00005147579,"domain_scores_codex":[0.9994107,0.00006771689,0.0001165794,0.00008078587,0.0002374329,0.00008680295],"domain_scores_gemma":[0.9994465,0.0002455791,0.00001627876,0.0001205739,0.00004302845,0.0001280973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001015102,0.0002048318,0.08730333,0.0008514908,0.00003368799,0.00001800807,0.002877036,2.485298e-7,0.0001836851,0.0001110651,0.002000115,0.906315],"study_design_scores_gemma":[0.004800973,0.006035374,0.5406497,0.0006842011,0.00004564762,0.00001746305,0.007308873,0.001142627,0.0001759384,0.0001593237,0.4388494,0.0001305735],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870141,0.003684923,0.00003476915,0.005614845,0.0000709569,0.0002386714,0.000001045858,0.000009598019,0.00333113],"genre_scores_gemma":[0.9972538,0.001379503,0.00008268624,0.0003094157,0.0001311003,0.00001121712,0.00001456862,0.000005035025,0.0008126395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9061844,"threshold_uncertainty_score":0.2904164,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2092195959","doi":"10.1097/01.mlr.0000204257.25875.04","title":"The Indirect Costs of Arthritis Resulting From Unemployment, Reduced Performance, and Occupational Changes While at Work","year":2006,"lang":"en","type":"article","venue":"Medical Care","topic":"Rheumatoid Arthritis Research and Therapies","field":"Medicine","cited_by":237,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Arthritis Research Centre of Canada; University of Toronto; University of British Columbia; Centre for Advancing Health Outcomes; St. Paul's Hospital","funders":"","keywords":"Absenteeism; Psychosocial; Medicine; Demography; Productivity; Odds ratio; Unemployment; Arthritis; Indirect costs; Physical therapy; Gerontology; Psychology; Psychiatry; Internal medicine; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.01655640583875468,"gpt":0.2672167261513584,"spread":0.2506603203126038,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002373509,0.00009097882,0.000198284,0.00004554313,0.0001992116,0.00001810732,0.00007853229,0.00007788416,0.0002125058],"category_scores_gemma":[0.0002901739,0.00006125212,0.00003246873,0.0001371611,0.0002818641,0.00002858659,0.00007821111,0.0001700842,0.00000857843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004685899,"about_ca_system_score_gemma":0.0000996996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003367039,"about_ca_topic_score_gemma":0.00225889,"domain_scores_codex":[0.9985496,0.00006402896,0.0002141968,0.0001662306,0.0007674298,0.0002385265],"domain_scores_gemma":[0.9992158,0.00030146,0.00005967427,0.0001497937,0.0001202866,0.0001530213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006164074,0.0000356319,0.5928825,0.0000301874,0.00004420031,0.00003109318,0.0008616442,4.231238e-7,0.0006225295,0.00005929407,0.01001163,0.3948045],"study_design_scores_gemma":[0.004487406,0.0004467172,0.915475,0.002326146,0.000006682955,0.00004245865,0.000997217,0.00008511336,0.009904783,0.00004250148,0.06601937,0.0001666757],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9657739,0.03033207,0.000001270849,0.001301441,0.00009486705,0.0001919993,0.00005556745,0.00002727933,0.002221608],"genre_scores_gemma":[0.9853751,0.01376766,0.00006201363,0.00008358208,0.0002150119,0.00003577361,0.0002405228,0.00001151013,0.0002088468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3946378,"threshold_uncertainty_score":0.2497789,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1975371513","doi":"10.1097/00005650-200101000-00010","title":"Performance of the ACG Case-Mix System in Two Canadian Provinces","year":2001,"lang":"en","type":"article","venue":"Medical Care","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":233,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of British Columbia","funders":"","keywords":"Percentile; Case mix index; Medicine; Medical diagnosis; Population; Demography; Health care; Health services research; Service (business); Public health; Environmental health; Business; Statistics; Economics; Economic growth","retraction":null,"screen_n_in":null,"score":{"opus":0.03026821413051822,"gpt":0.3990984538328236,"spread":0.3688302397023053,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006100491,0.00009291213,0.0002507048,0.00008576424,0.0004423366,0.00000193907,0.0003052372,0.0001602027,0.0005535468],"category_scores_gemma":[0.0002031724,0.00005743937,0.00004419115,0.0002775369,0.00006923504,0.00004950841,0.00009182215,0.0006780536,0.00005628197],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001756251,"about_ca_system_score_gemma":0.009029465,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4551713,"about_ca_topic_score_gemma":0.9465079,"domain_scores_codex":[0.9981264,0.0003105047,0.0004608969,0.0001484935,0.0004268903,0.0005268112],"domain_scores_gemma":[0.9989135,0.0002117105,0.00009702383,0.0002975104,0.0001170182,0.0003632829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001553685,0.000004752373,0.9743534,0.00123793,0.000002815469,0.000528337,0.004328993,0.000001077143,3.871062e-7,0.0002297538,0.004896944,0.01440001],"study_design_scores_gemma":[0.002098976,0.0001208982,0.534152,0.001938768,0.00002818395,0.0004668715,0.06005234,0.000643091,0.00001379715,0.000007614034,0.4002117,0.000265797],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9294106,0.0005868602,7.707077e-7,0.006289877,0.001036737,0.0005358391,0.00002534835,0.00002803791,0.06208589],"genre_scores_gemma":[0.9920475,0.00005100331,0.00001088483,0.00689728,0.0002436216,0.00007095082,0.000007099382,0.00001018134,0.0006614389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4913366,"threshold_uncertainty_score":0.9965884,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1991736613","doi":"10.1097/mlr.0b013e318178eabd","title":"Interventions to Reduce Unnecessary Antibiotic Prescribing","year":2008,"lang":"en","type":"review","venue":"Medical Care","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":232,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Psychological intervention; Medical prescription; MEDLINE; Interquartile range; Randomized controlled trial; Intensive care medicine; Ambulatory; Ambulatory care; Antibiotics; Emergency medicine; Internal medicine; Health care; Nursing","retraction":null,"screen_n_in":null,"score":{"opus":0.0508864005617425,"gpt":0.3517132014044831,"spread":0.3008268008427407,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001217248,0.0003795271,0.001360588,0.0001933972,0.0002421243,0.00001303016,0.0007360657,0.001088235,0.001243068],"category_scores_gemma":[0.0004311821,0.0002776388,0.0008658722,0.0003122589,0.0002610639,0.00003045842,0.0003203366,0.0009884873,0.002627372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009859152,"about_ca_system_score_gemma":0.0004912831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000412699,"about_ca_topic_score_gemma":0.00005097449,"domain_scores_codex":[0.9977931,0.0003364769,0.0006919587,0.0005746444,0.0001296196,0.0004742306],"domain_scores_gemma":[0.998965,0.000161181,0.0001695192,0.0005010905,0.00007535058,0.0001278405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006878587,0.00008929954,0.000007963582,0.03719866,0.0001870786,0.0002119837,0.0003332641,4.887469e-8,0.000003055519,0.00007277155,0.0532891,0.9085999],"study_design_scores_gemma":[0.0002315638,0.00008160916,0.00001174373,0.07401024,0.000330124,0.000375648,0.0002017053,1.491365e-8,0.00002821235,0.000001162953,0.9244323,0.000295704],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003737844,0.9942874,0.00007544264,0.0001129487,0.001974019,0.0005376979,0.000100227,0.0001088034,0.00276604],"genre_scores_gemma":[0.0005536862,0.9935683,0.00003759313,0.0001370659,0.0001855079,0.00001049625,0.0006518143,0.00004900152,0.004806528],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9083042,"threshold_uncertainty_score":0.9999676,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1966704625","doi":"10.1097/mlr.0b013e3181d567bd","title":"Impact of Adherence to Antihypertensive Agents on Clinical Outcomes and Hospitalization Costs","year":2010,"lang":"en","type":"article","venue":"Medical Care","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":227,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"McGill University; Université de Montréal","funders":"","keywords":"Medicine; Confidence interval; Odds ratio; Internal medicine; Blood pressure; Cohort; Disease; Depression (economics); Emergency medicine; Intensive care medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.06706954117346786,"gpt":0.4455963851973167,"spread":0.3785268440238488,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001683079,0.0001038951,0.0003305513,0.00004999088,0.00002629413,0.000005534514,0.0001121497,0.0001574313,0.001628699],"category_scores_gemma":[0.002713116,0.00006874523,0.00009741513,0.0001332001,0.0001366092,0.00002418641,0.00003904091,0.0002908094,0.0002073348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002095638,"about_ca_system_score_gemma":0.0002280728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008797191,"about_ca_topic_score_gemma":0.00002123455,"domain_scores_codex":[0.9987006,0.0000261551,0.0003204784,0.0002359013,0.000577618,0.0001392315],"domain_scores_gemma":[0.9986219,0.0001092688,0.00008051407,0.0002899981,0.0003252283,0.0005731254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005288879,0.00009928751,0.9442661,0.0000261271,0.00002911738,0.00002311143,0.0001992625,7.783602e-8,0.0001031572,0.00007647656,0.007457247,0.04766708],"study_design_scores_gemma":[0.001057061,0.001865778,0.9956891,0.0001839557,0.00002536933,0.00001264068,0.000189449,0.00005693448,0.00006747196,0.00001032147,0.0007713573,0.00007054554],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996165,0.00004385082,0.00007960804,0.001069353,0.0003867606,0.0003088195,0.000008826252,0.00002245752,0.001915338],"genre_scores_gemma":[0.9960188,0.00004954437,0.0001781955,0.003358671,0.0001031365,0.00001352499,0.00002841931,0.000008506609,0.0002411844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05142295,"threshold_uncertainty_score":0.999284,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2142427202","doi":"10.1097/00005650-200503000-00004","title":"Valuations of EQ-5D Health States","year":2005,"lang":"en","type":"article","venue":"Medical Care","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":226,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta; Institute of Health Economics","funders":"Agency for Healthcare Research and Quality","keywords":"EQ-5D; Valuation (finance); Population; Demography; Medicine; Statistics; MEDLINE; Mathematics; Environmental health; Economics; Political science; Health related quality of life; Sociology","retraction":null,"screen_n_in":null,"score":{"opus":0.5014809295461914,"gpt":0.4740673288568948,"spread":0.0274136006892966,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01008427,0.0001178442,0.0007453404,0.0001892074,0.0001305746,0.00001713424,0.0002709098,0.000128178,0.003903704],"category_scores_gemma":[0.003972187,0.0001405497,0.0001067409,0.0001642989,0.00009267499,0.0001712742,0.00004757188,0.0001812679,0.00153283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005278303,"about_ca_system_score_gemma":0.000588568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009951373,"about_ca_topic_score_gemma":0.0009486757,"domain_scores_codex":[0.995632,0.0002552149,0.003190997,0.0003314017,0.0002499902,0.0003404155],"domain_scores_gemma":[0.9973817,0.0006108553,0.001138571,0.0003787256,0.0001057736,0.0003843879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001961628,0.0004491046,0.1360562,0.002536119,0.0001704012,0.000002259698,0.06873912,0.001501808,0.000001186938,0.274555,0.4764132,0.03955587],"study_design_scores_gemma":[0.002086342,0.0003103586,0.05281818,0.0003181752,0.000009502435,0.000007617165,0.01309513,0.01889218,0.00001773844,0.01190053,0.9000305,0.0005137768],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3299654,0.0372967,0.01534786,0.5962505,0.001291851,0.00130518,0.001324252,0.0001653661,0.01705289],"genre_scores_gemma":[0.9587939,0.0004565238,0.004034183,0.03528519,0.0006675259,0.00006784672,0.0002154878,0.00002795621,0.0004513328],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6288286,"threshold_uncertainty_score":0.9992446,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2021382870","doi":"10.1097/mlr.0b013e318215d90d","title":"N-of-1 Trials in the Medical Literature","year":2011,"lang":"en","type":"review","venue":"Medical Care","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":224,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Clinical trial; Medicine; Population; Randomization; Medical physics; Internal medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.8591717291981216,"gpt":0.6998938575083188,"spread":0.1592778716898028,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","research_integrity"],"category_scores_codex":[0.06213558,0.0005631667,0.008790208,0.0002046023,0.00003636702,0.00003541933,0.002611594,0.003172626,0.006880996],"category_scores_gemma":[0.83948,0.0002606606,0.001943071,0.000870452,0.0005092737,0.0000228952,0.0003352011,0.003628925,0.00005021092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006450816,"about_ca_system_score_gemma":0.001270957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009823618,"about_ca_topic_score_gemma":0.00002620462,"domain_scores_codex":[0.9610249,0.02796863,0.006396849,0.0006772974,0.003413827,0.0005184308],"domain_scores_gemma":[0.577539,0.4185084,0.001726013,0.001432598,0.000229533,0.0005645446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000131068,0.0001217642,0.000001004157,0.03397736,0.00009387497,0.0004770678,0.0007880506,2.233593e-10,8.124283e-10,0.0783012,0.005476014,0.8807505],"study_design_scores_gemma":[0.0005012216,0.00009626008,6.467026e-7,0.05133805,0.000910505,0.00008392886,0.00007948442,4.164365e-7,1.157547e-7,0.1793454,0.7674155,0.0002285264],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[4.752078e-7,0.9904303,0.001591434,0.0002869296,0.00158041,0.001570931,0.0003169888,0.00003867469,0.004183857],"genre_scores_gemma":[0.000001573269,0.9597266,0.03788779,0.0003447038,0.001584097,0.0003019343,0.00004070588,0.00006756624,0.00004506372],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.880522,"threshold_uncertainty_score":0.9999846,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2946573635","doi":"10.1097/mlr.0000000000001051","title":"Clinician Experiences and Attitudes Regarding Screening for Social Determinants of Health in a Large Integrated Health System","year":2019,"lang":"en","type":"article","venue":"Medical Care","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":220,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"National Center for Advancing Translational Sciences","keywords":"Health care; Medicine; Needs assessment; Social determinants of health; Nursing; Social needs; Quarter (Canadian coin); Social support; Family medicine; Psychology; Medical education; Public health; Social psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.2283394440542056,"gpt":0.5349733135099622,"spread":0.3066338694557566,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002880851,0.0001108251,0.0006890526,0.0001302072,0.000873442,0.000004749567,0.0001441234,0.000259209,0.00009446085],"category_scores_gemma":[0.0004509312,0.00009637523,0.00005644773,0.0001954418,0.00006396956,0.00007355366,0.00009887456,0.0004958435,0.000005520108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002417879,"about_ca_system_score_gemma":0.001217478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002233168,"about_ca_topic_score_gemma":0.01434428,"domain_scores_codex":[0.9969686,0.0007173696,0.00111998,0.0002692364,0.0003267797,0.0005980405],"domain_scores_gemma":[0.9986464,0.0004103687,0.0004618437,0.0001189939,0.0001363806,0.0002259591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008298503,0.00003465069,0.7842755,0.00748797,0.000005915319,0.000001311986,0.1884868,3.529366e-7,1.245628e-7,0.002046128,0.0006422558,0.01693595],"study_design_scores_gemma":[0.003069141,0.0004680458,0.2415701,0.006645431,0.000004566579,0.000001188595,0.7380871,0.002033172,7.068859e-7,0.00002269616,0.007959318,0.0001384957],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916167,0.0016764,0.000334352,0.00355288,0.0008189348,0.001608653,0.000169958,0.00005157607,0.0001705078],"genre_scores_gemma":[0.9972544,0.00005041447,0.0005400481,0.001762835,0.000134838,0.000159196,0.00006210719,0.00001275988,0.00002344368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5496003,"threshold_uncertainty_score":0.8004444,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2137966224","doi":"10.1097/mlr.0b013e3180618b9a","title":"Rural and Urban Disparity in Health Services Utilization in China","year":2007,"lang":"en","type":"article","venue":"Medical Care","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":214,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Confidence interval; Residence; Medicine; China; Demography; Rural area; Environmental health; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.01959712253847585,"gpt":0.2794941316995797,"spread":0.2598970091611039,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001167043,0.00006902046,0.0002566796,0.0001509783,0.00003951567,0.00001197175,0.00007661305,0.0001445354,0.00005250092],"category_scores_gemma":[0.00004381003,0.00005852277,0.00001647903,0.0002376371,0.00002381841,0.00007391275,0.00003045545,0.0001934898,0.00001069329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001667808,"about_ca_system_score_gemma":0.0000421504,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03697903,"about_ca_topic_score_gemma":0.03739198,"domain_scores_codex":[0.9989053,0.00001713798,0.0005749273,0.0001682122,0.00006060229,0.000273802],"domain_scores_gemma":[0.9995875,0.000008686818,0.0001007097,0.00009442592,0.000008852202,0.0001998142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004083049,0.00001651943,0.9505311,0.000574164,8.947385e-7,0.000007421754,0.005165795,7.370879e-7,3.442334e-8,0.004401387,0.000009679101,0.03928814],"study_design_scores_gemma":[0.0003427872,0.0000362295,0.9877717,0.0002152466,6.820711e-8,0.000002756101,0.001818212,0.0004529308,6.227845e-7,0.0004770795,0.008815235,0.00006709714],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982713,0.01298915,0.0001923362,0.001196657,0.0002802603,0.0001718809,0.0000188653,0.00001285331,0.00242497],"genre_scores_gemma":[0.9987605,0.0005514974,0.00001559917,0.0004977878,0.00009191711,0.000004025581,0.00003259284,0.000006723555,0.00003939797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03922104,"threshold_uncertainty_score":0.9801731,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2060073015","doi":"10.1097/mlr.0b013e31817d9342","title":"Cost Savings Attributable to Reductions in Intensive Care Unit Length of Stay for Mechanically Ventilated Patients","year":2008,"lang":"en","type":"article","venue":"Medical Care","topic":"Respiratory Support and Mechanisms","field":"Medicine","cited_by":209,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Intensive care unit; Medicine; Unit (ring theory); Emergency medicine; Intensive care medicine; Psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.07388453439906481,"gpt":0.3419554109312544,"spread":0.2680708765321895,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001286217,0.0001437262,0.0004456225,0.0001703947,0.00007616287,0.00000300333,0.000131763,0.0002152828,0.0003383244],"category_scores_gemma":[0.001789851,0.0001265363,0.0001167844,0.0003602367,0.00005940627,0.00004477763,0.00007111241,0.0002551542,0.00001558531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001522386,"about_ca_system_score_gemma":0.0004815719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006779974,"about_ca_topic_score_gemma":0.0001202068,"domain_scores_codex":[0.9983205,0.00003003394,0.0004351231,0.0002867716,0.000598329,0.000329231],"domain_scores_gemma":[0.9968784,0.00004738061,0.00007591967,0.0002497954,0.00229865,0.0004498205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005242061,0.001641467,0.6788403,0.003159113,0.0004988073,0.001419365,0.1164237,0.00003221338,0.02262309,0.0008560494,0.04455109,0.1247127],"study_design_scores_gemma":[0.02336205,0.01292176,0.09748305,0.003118204,0.0005949906,0.0001607601,0.1792936,0.0001266286,0.2309964,0.0001426007,0.450609,0.001190964],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965589,0.0002098772,0.0006717312,0.0004633393,0.0004452592,0.001296505,0.0001443874,0.00003777156,0.0001722482],"genre_scores_gemma":[0.9970378,0.00001831298,0.0005557788,0.001396499,0.00008015541,0.0001197582,0.00053186,0.00002769565,0.000232176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5813573,"threshold_uncertainty_score":0.5160002,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2073380496","doi":"10.1097/mlr.0000000000000171","title":"Risk Prediction Models to Predict Emergency Hospital Admission in Community-dwelling Adults","year":2014,"lang":"en","type":"review","venue":"Medical Care","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":199,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Health Research Board","keywords":"Medicine; Psychological intervention; Emergency medicine; Emergency department; Population; Medical record; Medical diagnosis; Retrospective cohort study; Cohort study; Predictive modelling; Statistics; Environmental health; Internal medicine; Psychiatry","retraction":null,"screen_n_in":null,"score":{"opus":0.04239822141449243,"gpt":0.3519790461464027,"spread":0.3095808247319102,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009452488,0.0006095869,0.00185463,0.0004787278,0.0001793334,0.00002485882,0.0006253878,0.0007045503,0.0009475953],"category_scores_gemma":[0.001144466,0.0004906868,0.0005712336,0.0006066407,0.0000708901,0.00008921629,0.000457695,0.002438978,0.0001162436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006368477,"about_ca_system_score_gemma":0.0008437125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005605207,"about_ca_topic_score_gemma":0.0002836331,"domain_scores_codex":[0.9951655,0.000719653,0.001318259,0.000656098,0.001575577,0.0005648722],"domain_scores_gemma":[0.9971566,0.0001709658,0.0003172403,0.001093547,0.0001557386,0.001105917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005282104,0.0003185677,0.0003200445,0.0742225,0.0001413452,0.0001108038,0.002087038,0.00006159519,2.760673e-9,0.00004399553,0.007421509,0.9152198],"study_design_scores_gemma":[0.001579137,0.001067603,0.0002479533,0.1100627,0.001868528,0.00001150177,0.00254813,0.002909175,4.551533e-8,0.000119769,0.8790856,0.0004999024],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006654482,0.9850704,0.0009300457,0.0001401295,0.001327529,0.002836432,0.0002524968,0.0002759422,0.008501581],"genre_scores_gemma":[0.00637194,0.9892269,0.00006595465,0.00007073892,0.0009564781,0.0004005669,0.002581572,0.0001091334,0.0002167057],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9147199,"threshold_uncertainty_score":0.9999657,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2970976623","doi":"10.1097/mlr.0000000000000905","title":"Validation of the Combined Comorbidity Index of Charlson and Elixhauser to Predict 30-Day Mortality Across ICD-9 and ICD-10","year":2018,"lang":"en","type":"article","venue":"Medical Care","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":197,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Institut National d'Excellence en Santé et en Services Sociaux; Université Laval; Institut National de Santé Publique du Québec","funders":"","keywords":"Medicine; Logistic regression; Charlson comorbidity index; ICD-10; Confidence interval; Comorbidity; Index (typography); Cohort; Population; Cohort study; Statistics; Demography; Emergency medicine; Internal medicine; Environmental health; Psychiatry; Mathematics; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.1313195582417165,"gpt":0.465341768028919,"spread":0.3340222097872025,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002487438,0.0001044031,0.0003012601,0.0000336466,0.0004648943,0.000004705349,0.0001792807,0.0003241784,0.001081993],"category_scores_gemma":[0.002634666,0.00006849262,0.00002800077,0.0001691324,0.0003704562,0.00006923838,0.0002653398,0.0004800922,0.00002181034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005274342,"about_ca_system_score_gemma":0.0003153133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004976483,"about_ca_topic_score_gemma":0.0003730534,"domain_scores_codex":[0.9975816,0.0003695198,0.0007095467,0.0001641697,0.0008688383,0.00030631],"domain_scores_gemma":[0.9982198,0.0003419963,0.0002816755,0.0003019034,0.0004459091,0.0004086731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007293475,0.00003310622,0.9395317,0.002162943,0.00001527143,4.350125e-7,0.03824397,4.708623e-7,0.00004152377,0.0001972118,0.009874873,0.00982554],"study_design_scores_gemma":[0.001146177,0.0002738432,0.9863364,0.0006853506,0.00001889445,3.637147e-7,0.002986989,0.0006503808,0.0005271333,0.00009021311,0.007209864,0.00007439788],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942743,0.00007084108,0.0003502163,0.002672485,0.0006328548,0.000639928,0.0001057135,0.00002993057,0.001223709],"genre_scores_gemma":[0.9976993,0.00004135433,0.00001101626,0.00179553,0.0002694637,0.00003505492,0.00003504621,0.000007724391,0.000105468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04680468,"threshold_uncertainty_score":0.9998311,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1967539199","doi":"10.1097/mlr.0b013e318206c50d","title":"Hospital Costs and Length of Stay Among Homeless Patients Admitted to Medical, Surgical, and Psychiatric Services","year":2011,"lang":"en","type":"article","venue":"Medical Care","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":197,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Ottawa; University of Toronto; St. Michael's Hospital","funders":"","keywords":"Medicine; Psychological intervention; Activity-based costing; Emergency medicine; Psychiatry; Family medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.01447077689173538,"gpt":0.3379361552054864,"spread":0.3234653783137511,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000403111,0.0001728519,0.000618698,0.00009701949,0.0003161074,0.000007307111,0.0002592324,0.0005091202,0.001571083],"category_scores_gemma":[0.0003224203,0.0001316326,0.00004118075,0.0002694575,0.0002130471,0.00008302643,0.0002996103,0.0004878747,0.00001558354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003989595,"about_ca_system_score_gemma":0.0002133305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004033969,"about_ca_topic_score_gemma":0.01152671,"domain_scores_codex":[0.9974313,0.0003105986,0.000521757,0.0003179611,0.001002471,0.0004158749],"domain_scores_gemma":[0.9978274,0.0002479277,0.0001499137,0.000182605,0.0003201642,0.001272044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003527954,0.0001209882,0.8943087,0.0006014293,0.00002015911,0.00002239548,0.08713567,2.477362e-9,5.595962e-8,0.0002145744,0.00005342792,0.01748732],"study_design_scores_gemma":[0.001661492,0.0003453407,0.8803912,0.0003838352,0.00002727,9.707527e-8,0.1153748,0.00000781071,0.000003180464,0.00003847544,0.001593277,0.0001732661],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950851,0.001711931,0.000003125397,0.0002049697,0.00058422,0.0005306141,0.00005566014,0.00004984175,0.001774543],"genre_scores_gemma":[0.9987478,0.0006876314,0.00003947137,0.000176613,0.000202233,0.000061612,0.0000391526,0.00002393102,0.00002155004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02823913,"threshold_uncertainty_score":0.9993416,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2238448948","doi":"10.1097/00005650-200003000-00006","title":"Health Utilities Index Mark 3","year":2000,"lang":"en","type":"article","venue":"Medical Care","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":195,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Institute of Health Economics; McMaster University; University of Alberta; St. Joseph’s Healthcare Hamilton","funders":"","keywords":"Health Utilities Index; Medicine; Stroke (engine); Affect (linguistics); Context (archaeology); Arthritis; Population; Physical therapy; Confounding; Quality of life (healthcare); Physical medicine and rehabilitation; Gerontology; Psychology; Disease; Internal medicine; Environmental health; Health related quality of life","retraction":null,"screen_n_in":null,"score":{"opus":0.2376682131886156,"gpt":0.4357704652019139,"spread":0.1981022520132983,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.007354244,0.000151897,0.0008225514,0.0001343851,0.0002031673,0.00004269012,0.0003232726,0.0001965379,0.03269507],"category_scores_gemma":[0.001866081,0.0001835886,0.0001125033,0.0001410242,0.0001118358,0.0001734957,0.00003349173,0.0002765877,0.007029846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00053363,"about_ca_system_score_gemma":0.0004524464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002576146,"about_ca_topic_score_gemma":0.0006944404,"domain_scores_codex":[0.99593,0.0002813901,0.002621761,0.0004485751,0.0002258605,0.0004924613],"domain_scores_gemma":[0.998103,0.0004071576,0.0004717529,0.000436238,0.00003563267,0.0005461695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000411153,0.000141714,0.2623584,0.001837202,0.00007854791,0.00001177559,0.02203927,0.00004387152,2.420728e-8,0.06460076,0.5632188,0.0856286],"study_design_scores_gemma":[0.0007054077,0.00008398358,0.07424326,0.0001246704,0.000001305096,0.000007731077,0.004183678,0.001303063,2.208669e-7,0.00410034,0.9149888,0.0002575482],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3843884,0.0381758,0.001371829,0.3866629,0.001943993,0.001138387,0.0008171488,0.0003327284,0.1851688],"genre_scores_gemma":[0.9146893,0.0005487654,0.0003370706,0.07709716,0.0007589441,0.00007516801,0.000102167,0.00003440038,0.006357047],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5303009,"threshold_uncertainty_score":0.9937433,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2076272659","doi":"10.1097/mlr.0b013e3181c162a2","title":"Using Instrument-Defined Health State Transitions to Estimate Minimally Important Differences for Four Preference-Based Health-Related Quality of Life Instruments","year":2010,"lang":"en","type":"article","venue":"Medical Care","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":191,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Preference; Quality (philosophy); Quality of life (healthcare); State (computer science); Medicine; Computer science; Statistics; Mathematics; Nursing; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.4889388555201231,"gpt":0.4579530354778436,"spread":0.03098582004227957,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01179528,0.0002838076,0.001800263,0.0003388191,0.000341222,0.00004942945,0.0004111379,0.000231532,0.0003917989],"category_scores_gemma":[0.005416363,0.0003193825,0.0002074863,0.0002759327,0.0001405762,0.0001749015,0.00004671552,0.0003723317,0.00003528645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000468974,"about_ca_system_score_gemma":0.003485109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005447527,"about_ca_topic_score_gemma":0.008230451,"domain_scores_codex":[0.9904415,0.0004121565,0.007380071,0.000678462,0.0003710037,0.0007168208],"domain_scores_gemma":[0.994185,0.000591681,0.003303954,0.0005005128,0.0001801911,0.001238643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005232951,0.000854788,0.8862569,0.0112503,0.0003681357,0.000002015986,0.02600898,0.0003962503,0.00008387184,0.05477733,0.002160356,0.01731776],"study_design_scores_gemma":[0.01789958,0.003681163,0.8572158,0.002381611,0.00004277743,0.00001283512,0.007428044,0.07443141,0.00007355124,0.02709399,0.007450149,0.002289125],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9248179,0.0004387402,0.0117664,0.05721721,0.0008371978,0.001721034,0.003052252,0.00006392854,0.0000853037],"genre_scores_gemma":[0.961553,0.00002083035,0.02823701,0.00957405,0.0000813427,0.0001793649,0.0003000189,0.00003704006,0.00001728102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07403516,"threshold_uncertainty_score":0.9999259,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2063055176","doi":"10.1097/01.mlr.0000207817.32496.cb","title":"Validity of a Prescription Claims Database to Estimate Medication Adherence in Older Persons","year":2006,"lang":"en","type":"article","venue":"Medical Care","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":186,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Manitoba","funders":"","keywords":"Medication adherence; Medical prescription; Medicine; MEDLINE; Database; Computer science; Nursing; Internal medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.05192612625393889,"gpt":0.3693196078948687,"spread":0.3173934816409298,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003632797,0.0001140895,0.0002582607,0.0001143463,0.00003054862,0.000005300256,0.0001879375,0.0001273518,0.002275358],"category_scores_gemma":[0.0005678855,0.00009807304,0.00004690038,0.0003404387,0.0001079268,0.00006776637,0.0000497204,0.0002518581,0.0001816192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008161773,"about_ca_system_score_gemma":0.0003495888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005065343,"about_ca_topic_score_gemma":0.0003051662,"domain_scores_codex":[0.9979928,0.00006887801,0.0004016378,0.0003050753,0.001014446,0.0002171957],"domain_scores_gemma":[0.9989991,0.0000614707,0.00009027261,0.0003839241,0.0001498248,0.0003154436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002714628,0.001197477,0.7719926,0.002170246,0.00001927932,0.0002241103,0.004087484,0.00001992962,0.01028607,0.001622796,0.1609795,0.04712902],"study_design_scores_gemma":[0.002645061,0.0003944977,0.9759194,0.002333794,0.00006389672,0.00004395526,0.001365887,0.002405939,0.003796422,0.0001968218,0.01061202,0.000222305],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978117,0.0004126584,0.01063044,0.004256193,0.0002823598,0.0006958056,0.00003617221,0.00006813755,0.005501186],"genre_scores_gemma":[0.9960976,0.00001875805,0.001763307,0.0007402371,0.0001519481,0.00013076,0.0003364763,0.00001001365,0.0007508516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2039268,"threshold_uncertainty_score":0.9986367,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2053145271","doi":"10.1097/00005650-200308000-00012","title":"Family Physician Continuity of Care and Emergency Department Use in End-of-Life Cancer Care","year":2003,"lang":"en","type":"article","venue":"Medical Care","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":177,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Nova Scotia Cancer Centre; Dalhousie University","funders":"","keywords":"Medicine; Emergency department; Palliative care; Specialty; Cancer; Population; End-of-life care; Emergency medicine; Family medicine; Continuity of care; Ambulatory care; Ambulatory; Health care; Internal medicine; Nursing","retraction":null,"screen_n_in":null,"score":{"opus":0.05287024717819628,"gpt":0.4258702148697473,"spread":0.372999967691551,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002097162,0.0001731523,0.0006301782,0.00008393652,0.000153164,0.000001545205,0.0001491911,0.0002821115,0.0005837114],"category_scores_gemma":[0.0004387777,0.0001468519,0.00009131515,0.0002049933,0.00009549905,0.00007012997,0.0001018967,0.0005203846,0.000004727157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005231717,"about_ca_system_score_gemma":0.003583736,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005996258,"about_ca_topic_score_gemma":0.04672556,"domain_scores_codex":[0.9973977,0.0004702399,0.0007811661,0.0002796408,0.0005949473,0.0004763665],"domain_scores_gemma":[0.998439,0.0002600403,0.000217388,0.0002829617,0.0004395636,0.0003610338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004732796,0.00002564348,0.944141,0.003467237,0.00001626431,0.00001064603,0.02420851,6.773254e-7,0.00001779656,0.0005208771,0.00523454,0.02230953],"study_design_scores_gemma":[0.00216525,0.0001857404,0.7444941,0.0005475424,0.00004889648,1.516441e-7,0.0861845,0.000001208602,0.0001153131,0.00004090914,0.1659987,0.0002176784],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9382652,0.04528983,0.000008265865,0.0003690167,0.001088301,0.0007155537,0.0004516129,0.00002377645,0.01378844],"genre_scores_gemma":[0.9913644,0.002665173,0.00008606296,0.005454983,0.0001145566,0.0001415746,0.00009411838,0.00001991327,0.00005927363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1996468,"threshold_uncertainty_score":0.9706692,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2318106356","doi":"10.1097/mlr.0b013e3181ef9d3e","title":"The Development, Evolution, and Modifications of ICD-10","year":2010,"lang":"en","type":"article","venue":"Medical Care","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":171,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Canadian Institutes of Health Research; Alberta Health Services","funders":"Canadian Institutes of Health Research","keywords":"Comparability; ICD-10; Context (archaeology); Medicine; Stakeholder; Political science; Geography; Public relations; Psychiatry","retraction":null,"screen_n_in":null,"score":{"opus":0.1255139691831797,"gpt":0.4509560587752253,"spread":0.3254420895920456,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001259403,0.00005222153,0.00009696164,0.00003334095,0.001243126,0.000003213964,0.0001508998,0.0002130555,0.000927862],"category_scores_gemma":[0.003209049,0.00003187698,0.0000132497,0.00009884358,0.0001724595,0.00003602896,0.00005975991,0.000729246,0.0001350107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003971047,"about_ca_system_score_gemma":0.001200426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004799793,"about_ca_topic_score_gemma":0.0009941069,"domain_scores_codex":[0.9986303,0.00009878221,0.0005129161,0.0000798031,0.0004516446,0.0002265393],"domain_scores_gemma":[0.998444,0.000653229,0.0001313801,0.0001783059,0.00030487,0.0002881979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008940238,0.0000657566,0.1545093,0.003049319,0.00003200865,0.000001225011,0.09742006,7.699544e-7,0.0001555623,0.2201254,0.1469733,0.3775779],"study_design_scores_gemma":[0.0005001036,0.00002320197,0.1572994,0.0001446686,0.000006486442,0.000001136899,0.008688209,0.0005248213,0.00002150774,0.0005972006,0.8321218,0.00007141707],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8520093,0.001196192,0.008284086,0.02577625,0.002688117,0.001029904,0.00002225603,0.0001752347,0.1088186],"genre_scores_gemma":[0.9976228,0.00003508919,0.0005021698,0.0004752812,0.0001878646,0.0000822496,0.00002206506,0.000004521645,0.001067986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6851485,"threshold_uncertainty_score":0.9999854,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2030023322","doi":"10.1097/01.mlr.0000244506.86885.a5","title":"Mental Health Treatment Dropout and Its Correlates in a General Population Sample","year":2007,"lang":"en","type":"article","venue":"Medical Care","topic":"Mental Health Treatment and Access","field":"Psychology","cited_by":169,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Calgary","funders":"","keywords":"Mental health; Dropout (neural networks); Psychiatry; Mood; Medicine; Logistic regression; Population; Mood disorders; Psychology; Clinical psychology; Environmental health; Anxiety; Internal medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.03193163931970993,"gpt":0.4154709250289443,"spread":0.3835392857092344,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002026097,0.0001178923,0.0001907691,0.00007993305,0.0001280621,0.00000728234,0.00005072513,0.0001122262,0.001129837],"category_scores_gemma":[0.00001526617,0.00009229049,0.00002671952,0.00009513585,0.00002036223,0.0000368732,0.00002132194,0.00009602193,0.00003554349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004267005,"about_ca_system_score_gemma":0.00002554762,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008647777,"about_ca_topic_score_gemma":0.007323486,"domain_scores_codex":[0.998822,0.00007136512,0.0002870133,0.0002376084,0.0002297635,0.0003522624],"domain_scores_gemma":[0.9994819,0.00007865388,0.00005389644,0.00008292449,0.000008743146,0.0002938583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009724603,0.0001798443,0.6896305,0.00003206533,0.00001091631,0.00005181767,0.007266569,1.28295e-7,9.351037e-7,0.0009794228,0.0002428499,0.3015077],"study_design_scores_gemma":[0.004215057,0.0008708347,0.9877595,0.00008637392,0.000008434159,0.00003227646,0.003105002,0.0002199421,0.00002915989,0.0001213856,0.003402061,0.0001499368],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896103,0.006883325,0.00001422217,0.001383821,0.0006491024,0.0004934654,0.00004267145,0.00003025707,0.0008928076],"genre_scores_gemma":[0.9980093,0.0001391907,0.00007048823,0.0007233052,0.000141517,0.00003040787,0.0005847742,0.00001091116,0.0002901673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3013577,"threshold_uncertainty_score":0.9997833,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2312698043","doi":"10.1097/mlr.0b013e3181ef60a2","title":"Costs Attributable to Healthcare-Acquired Infection in Hospitalized Adults and a Comparison of Economic Methods","year":2010,"lang":"en","type":"article","venue":"Medical Care","topic":"Nosocomial Infections in ICU","field":"Medicine","cited_by":166,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"U.S. Public Health Service","keywords":"Medicine; Ordinary least squares; Logistic regression; Propensity score matching; Health care; Emergency medicine; Demography; Statistics; Surgery; Internal medicine; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.02413257887464018,"gpt":0.4318253021060413,"spread":0.4076927232314011,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000531456,0.0001224189,0.0005495647,0.0001898428,0.00004444131,0.000008529852,0.00006176387,0.0002796811,0.0002712131],"category_scores_gemma":[0.001217758,0.0001152733,0.00005638747,0.0002164744,0.0001166675,0.00004805588,0.00008239291,0.0003721121,0.00001408086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000280416,"about_ca_system_score_gemma":0.0002194837,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008605,"about_ca_topic_score_gemma":0.01476311,"domain_scores_codex":[0.9987237,0.0001309443,0.0004497885,0.0002622189,0.0002088201,0.0002245468],"domain_scores_gemma":[0.9989752,0.0001818893,0.00008120123,0.0002495709,0.000124024,0.0003881779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002273882,0.0001068717,0.9069783,0.0002382669,0.00001527073,0.000005758412,0.001291325,0.000002654957,0.002770697,0.0002091763,0.0008142545,0.08734001],"study_design_scores_gemma":[0.006475903,0.001933275,0.9233395,0.0007683501,0.00006496217,0.00008331723,0.0006163155,0.0005548309,0.04422573,0.00008862015,0.02153522,0.0003139887],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953641,0.0003232514,0.0004040971,0.001712195,0.001071098,0.0004982878,0.00001244044,0.00005045249,0.0005640998],"genre_scores_gemma":[0.9948173,0.00005286688,0.004510515,0.0003042067,0.0001725409,0.00008150035,0.00003129969,0.00001663452,0.00001315547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08702603,"threshold_uncertainty_score":0.9979968,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2092233526","doi":"10.1097/mlr.0b013e318229360e","title":"The Mortality Risk Score and the ADG Score","year":2011,"lang":"en","type":"article","venue":"Medical Care","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":164,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Ottawa Hospital; University of Ottawa; University of Toronto; Institute for Clinical Evaluative Sciences","funders":"Canadian Institutes of Health Research","keywords":"Logistic regression; Medicine; Framingham Risk Score; Demography; Cohort; Statistic; Population; Cohort study; Retrospective cohort study; Regression analysis; Risk of mortality; Statistics; Internal medicine; Mathematics; Disease; Environmental health","retraction":null,"screen_n_in":null,"score":{"opus":0.1322801138715977,"gpt":0.3440430680920987,"spread":0.2117629542205011,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004146722,0.0001055619,0.000198223,0.00001055796,0.0002338175,0.0000140893,0.0001148188,0.00008105889,0.0005173768],"category_scores_gemma":[0.0007433391,0.00004002707,0.00009985013,0.00006374263,0.0006060278,0.00001435742,0.00007025791,0.0002423918,0.00002628765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002708846,"about_ca_system_score_gemma":0.00007940326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009699533,"about_ca_topic_score_gemma":0.0008039363,"domain_scores_codex":[0.9988616,0.0001000745,0.0001648697,0.0001785458,0.0005164076,0.0001785163],"domain_scores_gemma":[0.9989827,0.0002919679,0.00004758933,0.0003846182,0.00006861905,0.0002245417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009698168,0.00006588713,0.9347215,0.00002485342,0.0001357225,0.00009394292,0.002937981,1.090999e-8,1.312351e-7,0.001575064,0.002422115,0.05792582],"study_design_scores_gemma":[0.002614465,0.0001502694,0.9876938,0.00009837162,0.0003705115,0.00002829566,0.001877979,0.00001924029,0.0001000322,0.0005985766,0.006394396,0.00005402173],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9744968,0.01323913,0.000004713328,0.003156097,0.0002032535,0.0003766851,0.000009642566,0.00002996052,0.008483711],"genre_scores_gemma":[0.995921,0.002311181,0.00001800698,0.00141324,0.0001663624,0.00008992032,0.00001033246,0.000009700336,0.00006023938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0578718,"threshold_uncertainty_score":0.5664912,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2088535830","doi":"10.1097/mlr.0b013e3181adcbe9","title":"Socioeconomic Status and Utilization of Health Care Services in Canada and the United States","year":2009,"lang":"en","type":"article","venue":"Medical Care","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":163,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Canadian Institute for Health Information; Statistics Canada","funders":"Canadian Institutes of Health Research","keywords":"Socioeconomic status; Poisson regression; Health care; Medicine; Logistic regression; Household income; Demography; Multivariate analysis; Environmental health; Gerontology; Geography; Population; Economic growth","retraction":null,"screen_n_in":null,"score":{"opus":0.0157674186774777,"gpt":0.247880789887575,"spread":0.2321133712100973,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003455071,0.00006755254,0.0003176352,0.00007405783,0.00006202542,0.00001024335,0.00006423154,0.00005819883,0.00002531467],"category_scores_gemma":[0.00002079878,0.0000463734,0.00001409251,0.00008502355,0.00005062696,0.000034655,0.00001826734,0.0001060892,8.287348e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000321571,"about_ca_system_score_gemma":0.0003902063,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9775957,"about_ca_topic_score_gemma":0.9407657,"domain_scores_codex":[0.9990829,0.00003839161,0.0004976185,0.0001437116,0.00004667866,0.0001906629],"domain_scores_gemma":[0.9995584,0.00002486683,0.000175372,0.00009204303,0.00002741789,0.0001218959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001820717,0.000006199783,0.8557752,0.0009357957,0.00001034678,0.000002023417,0.04726691,0.00002897837,2.050886e-8,0.006510236,0.00004871646,0.08939734],"study_design_scores_gemma":[0.001443233,0.00007036925,0.9363669,0.00009018229,8.09608e-7,0.000001567711,0.0479509,0.001668233,9.679877e-7,0.001450609,0.01085931,0.00009699514],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9640713,0.03143552,0.000009002511,0.003955482,0.00009902491,0.0001649856,0.000102678,0.000003931045,0.0001581251],"genre_scores_gemma":[0.9938333,0.003882533,0.000005741023,0.002135525,0.00001870189,0.000003559793,0.0001109408,0.000004530854,0.000005155437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08930034,"threshold_uncertainty_score":0.1891052,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2053178989","doi":"10.1097/01.mlr.0000228003.08925.8c","title":"Medical Disease and Alcohol Use Among Veterans With Human Immunodeficiency Infection","year":2006,"lang":"en","type":"article","venue":"Medical Care","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":162,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Sunnybrook Health Science Centre; University of Toronto","funders":"","keywords":"Medicine; Diagnosis code; Multivariate analysis; Veterans Affairs; Medical record; Multivariate statistics; Cohort; Cohort study; Internal medicine; Environmental health; Statistics; Population","retraction":null,"screen_n_in":null,"score":{"opus":0.01698657048226051,"gpt":0.3287978389626864,"spread":0.311811268480426,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002059184,0.0001234675,0.0001894932,0.0001233125,0.000187602,0.00004620683,0.00008035891,0.0001223016,0.002095297],"category_scores_gemma":[0.000655989,0.00008527521,0.0001004768,0.0001758588,0.0004767072,0.0001381718,0.00005725875,0.0004460044,0.00002124361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005938847,"about_ca_system_score_gemma":0.0001995142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004197916,"about_ca_topic_score_gemma":0.002536606,"domain_scores_codex":[0.9977629,0.00008323631,0.0002386634,0.0002541391,0.001356733,0.0003043596],"domain_scores_gemma":[0.9987483,0.00005289853,0.00002740227,0.000220823,0.0001444645,0.0008061341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001388311,0.0003715116,0.9707765,0.0003249027,0.00004510427,0.001080132,0.0003020769,5.786903e-7,0.0001809881,0.0003867819,0.007063791,0.01932883],"study_design_scores_gemma":[0.002375202,0.001527393,0.9882792,0.0009284083,0.00009111197,0.00008591348,0.000137703,0.0007873921,0.0000473953,0.00002736336,0.005584658,0.0001283214],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928671,0.0007596274,0.0008698015,0.0008483618,0.00002996465,0.0002597125,0.00001700865,0.00007799117,0.004270499],"genre_scores_gemma":[0.9970027,0.00006109442,0.00002734717,0.0001419265,0.0001855855,0.00004644776,0.0001947147,0.00001767288,0.002322573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01920051,"threshold_uncertainty_score":0.9988169,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2326661655","doi":"10.1097/mlr.0000000000000283","title":"Valuation and Modeling of EQ-5D-5L Health States Using a Hybrid Approach","year":2015,"lang":"en","type":"article","venue":"Medical Care","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":153,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Island Health","funders":"Instituto de Salud Carlos III","keywords":"EQ-5D; Statistics; Valuation (finance); Stratified sampling; Sampling (signal processing); Econometrics; Computer science; Sample size determination; Population; Goodness of fit; Regression analysis; Mathematics; Data mining; Medicine; Health related quality of life; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.6515220237106037,"gpt":0.4601764970475003,"spread":0.1913455266631034,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01251683,0.0001192485,0.0007267129,0.0001748854,0.00008873036,0.00003090535,0.0001410699,0.00009176584,0.00006928103],"category_scores_gemma":[0.003028351,0.000139918,0.00004988432,0.0001046072,0.00006613884,0.0002200893,0.00006178884,0.0001506539,0.00004313725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000479539,"about_ca_system_score_gemma":0.0006389876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004572869,"about_ca_topic_score_gemma":0.00006784553,"domain_scores_codex":[0.9965104,0.0002904611,0.002301992,0.0003611731,0.0002545613,0.0002813743],"domain_scores_gemma":[0.9980967,0.0001877001,0.0008390411,0.0002414863,0.0001635892,0.0004714812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001447675,0.0009483622,0.310926,0.01905389,0.0005152643,0.00000916118,0.2880193,0.2097466,0.000004565568,0.08681933,0.05579992,0.02801286],"study_design_scores_gemma":[0.0007091035,0.00007596605,0.0004946688,0.00009520142,0.000003941702,0.000007674419,0.01150407,0.9756521,8.941228e-7,0.0105738,0.0007426959,0.0001398841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7821883,0.01538374,0.1864675,0.01340909,0.0003620671,0.0007558946,0.0002152311,0.0000418168,0.001176411],"genre_scores_gemma":[0.9873759,0.0001121974,0.008135095,0.003977208,0.0001931436,0.00002957421,0.0001413571,0.00002106065,0.00001450416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7659056,"threshold_uncertainty_score":0.6912841,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2060874313","doi":"10.1097/00005650-200110000-00007","title":"Structure of Lifestyle Disruptions in Chronic Disease","year":2001,"lang":"en","type":"article","venue":"Medical Care","topic":"Rheumatoid Arthritis Research and Therapies","field":"Medicine","cited_by":152,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Centre for Addiction and Mental Health","funders":"","keywords":"Chronic disease; Medicine; Gerontology; Intensive care medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.009574573227486081,"gpt":0.3109493080608875,"spread":0.3013747348334014,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000494253,0.00006532573,0.0001652702,0.00007947667,0.00002703,0.000004424254,0.00007956419,0.00005898173,0.003142954],"category_scores_gemma":[0.000429308,0.0000497613,0.00005349146,0.0001741156,0.0001512909,0.00003281655,0.00003205602,0.0002223323,0.00001448259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008356039,"about_ca_system_score_gemma":0.0005302495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008662858,"about_ca_topic_score_gemma":0.0009551503,"domain_scores_codex":[0.9989219,0.0000375809,0.0001581116,0.0001201678,0.0005527115,0.00020951],"domain_scores_gemma":[0.9992609,0.0000382472,0.00001593369,0.00017637,0.00006018154,0.0004483737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000362426,0.0001784956,0.8628936,0.0005306816,0.00004054004,0.00169825,0.002092145,0.00001151439,0.002054949,0.001188258,0.001004015,0.1279451],"study_design_scores_gemma":[0.005623161,0.0005170579,0.9150989,0.001480413,0.000008362744,0.0001283575,0.001327406,0.0005051558,0.0005038495,0.0006514398,0.07397822,0.0001776397],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782717,0.01903915,0.00002484488,0.001786595,0.00004909662,0.0001542463,0.00003060849,0.00001959252,0.0006241738],"genre_scores_gemma":[0.993239,0.006318849,0.00002410847,0.0001177269,0.0001258852,0.00000776092,0.00007531756,0.000008954499,0.00008240269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1277675,"threshold_uncertainty_score":0.9977683,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2030597325","doi":"10.1097/mlr.0b013e31805371bf","title":"Studying Prescription Drug Use and Outcomes With Medicaid Claims Data","year":2007,"lang":"en","type":"article","venue":"Medical Care","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":150,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Institute of Health Services and Policy Research","funders":"National Institute of Mental Health; Agency for Healthcare Research and Quality","keywords":"Medicaid; Identification (biology); Medical prescription; Prescription drug; Data science; Medicine; MEDLINE; Outcomes research; Computer science; Health care; Alternative medicine; Nursing","retraction":null,"screen_n_in":null,"score":{"opus":0.2293614260408615,"gpt":0.4384770445704938,"spread":0.2091156185296323,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009927496,0.0001607961,0.000265448,0.00006026317,0.00008292901,0.00003814782,0.0003981015,0.0001274424,0.0001000294],"category_scores_gemma":[0.002866692,0.0001067008,0.00001601383,0.000100495,0.0002003988,0.0004196822,0.00038708,0.0003898612,0.000002754742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005428679,"about_ca_system_score_gemma":0.00005598211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008872421,"about_ca_topic_score_gemma":0.001637576,"domain_scores_codex":[0.9980927,0.0000532516,0.0002904063,0.000333391,0.0009520962,0.000278145],"domain_scores_gemma":[0.9979246,0.0009005785,0.00008323862,0.0006993343,0.0001129401,0.0002792713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000165947,0.0003538341,0.7478141,0.0009372277,0.0002061461,0.0009092318,0.0198555,3.243971e-7,0.0001784884,0.03655098,0.02393965,0.1690886],"study_design_scores_gemma":[0.01329339,0.002229416,0.4899169,0.006477913,0.001537601,0.0006710894,0.115133,0.001561627,0.008896098,0.2527177,0.1022776,0.00528769],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8297768,0.0002748214,0.1669172,0.0008325411,0.0001395764,0.0005590728,0.00003625287,0.0006632415,0.0008004209],"genre_scores_gemma":[0.951594,0.00004590685,0.04760162,0.000437122,0.00006886965,0.00001361419,0.00006195211,0.00003017405,0.0001467159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2578972,"threshold_uncertainty_score":0.4351134,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}