{"meta":{"query_hash":"f37fd1a75c79","filters":{"venue":"Personalized Medicine"},"cohort_total":22,"direct_labels_cover":0,"predictions_cover":22,"exported":22,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/f37fd1a75c79","api":"https://metacan.xera.ac/api/v1/cohort?venue=Personalized+Medicine"},"results":[{"id":"W1976326988","doi":"10.2217/17410541.6.1.79","title":"Assisted Human Reproduction Offspring and the Fundamental Right to Identity: The Recognition of the Right to Know One‘S Origins Under the European Convention of Human Rights","year":2008,"lang":"en","type":"article","venue":"Personalized Medicine","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Association of Universities and Colleges of Canada; University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada; Universitat de Barcelona","keywords":"Right to know; Human rights; Fundamental rights; Dignity; Law; Convention; Political science; Autonomy; Identity (music); International human rights law; Sociology","score_opus":0.06928462982724627,"score_gpt":0.3377269740821546,"score_spread":0.2684423442549083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976326988","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020625377,0.021848999,0.019887444,0.07912344,0.00169712,0.00008806981,0.00017693015,0.000052347103,0.85650015],"genre_scores_gemma":[0.7857543,0.014255001,0.020595519,0.0425991,0.001998586,0.00027499188,0.00020424479,0.00003853081,0.13427973],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99285614,0.002878888,0.0003722205,0.00078478846,0.0022249697,0.0008829242],"domain_scores_gemma":[0.9963521,0.0019529524,0.0005252607,0.0005365193,0.0004523304,0.0001809709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0067538796,0.0003028599,0.00045936153,0.0006063788,0.0033059933,0.005955867,0.0012479388,0.01272659,0.00567004],"category_scores_gemma":[0.008566957,0.00025635058,0.00042331783,0.0008163899,0.018322458,0.0041728034,0.00610734,0.0060447794,0.00085625064],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000055852784,0.000005373974,0.00008124948,0.000013356108,0.0000018719904,0.000078644625,0.0007029665,0.00004057071,0.000059012193,0.9920219,0.0025677327,0.0044217906],"study_design_scores_gemma":[0.000032214983,0.000050491926,0.0011750215,0.0003229667,0.000015096237,0.0011885815,0.0006835817,0.00024300002,0.00064207916,0.6985599,0.29704735,0.000039800456],"about_ca_topic_score_codex":0.004264894,"about_ca_topic_score_gemma":0.0069255116,"teacher_disagreement_score":0.01272659,"about_ca_system_score_codex":0.0020078227,"about_ca_system_score_gemma":0.004737165,"threshold_uncertainty_score":0.03571832},"labels":[],"label_agreement":null},{"id":"W1977785348","doi":"10.2217/pme.12.79","title":"Applying Genomics to Nutrition and Lifestyle Modification","year":2012,"lang":"en","type":"article","venue":"Personalized Medicine","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Advanced Foods and Materials Network","keywords":"Genomics; Medicine; Nutrigenomics; Computational biology; Gerontology; Genetics; Bioinformatics; Biology; Genome; Gene","score_opus":0.02474159473619256,"score_gpt":0.2997347542928981,"score_spread":0.2749931595567055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977785348","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.052311953,0.33896357,0.1879274,0.29375723,0.005853149,0.00031957444,0.0007501471,0.00073931273,0.11937777],"genre_scores_gemma":[0.4667563,0.3109784,0.13648972,0.06219294,0.0065970863,0.0005722371,0.00040732734,0.00010574264,0.015900282],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985607,0.000982671,0.000040905015,0.00015553038,0.00017297419,0.000087215856],"domain_scores_gemma":[0.9981558,0.0013508954,0.00013177011,0.0001374582,0.000113679635,0.00011047364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025615396,0.00057078555,0.00078485475,0.0010204527,0.00043750036,0.0021055168,0.00048553772,0.0018323325,0.0037816726],"category_scores_gemma":[0.0044917692,0.00020346383,0.0005897715,0.00076348905,0.0030177343,0.0013944993,0.0011945075,0.00212796,0.0006715658],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023792635,0.00046888317,0.013274782,0.0013996243,0.00041138264,0.00090342015,0.0012202797,0.005652645,0.006712167,0.329666,0.018754164,0.6212988],"study_design_scores_gemma":[0.000087350614,0.000436083,0.014382651,0.0010390463,0.00018534747,0.0009812537,0.0010659767,0.0033394839,0.003015915,0.7735568,0.20180744,0.00010257367],"about_ca_topic_score_codex":0.0025904225,"about_ca_topic_score_gemma":0.0020173534,"teacher_disagreement_score":0.0037816726,"about_ca_system_score_codex":0.0013262054,"about_ca_system_score_gemma":0.0016052404,"threshold_uncertainty_score":0.013546884},"labels":[],"label_agreement":null},{"id":"W1981397813","doi":"10.2217/pme.14.66","title":"Fast And Frugal Trees: Translating Population-Based Pharmacogenomics to Medication Prioritization","year":2015,"lang":"en","type":"article","venue":"Personalized Medicine","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland; University of Alberta","funders":"","keywords":"Pharmacogenomics; Prioritization; Population; Medicine; Pharmacogenetics; Computer science; Pharmacology; Biology; Genetics; Management science; Engineering; Environmental health; Gene","score_opus":0.1442892469105504,"score_gpt":0.4509678658964886,"score_spread":0.3066786189859382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981397813","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010704808,0.0004511354,0.976253,0.0018495173,0.0001779494,0.00039087332,0.0026892025,0.0049993293,0.002484234],"genre_scores_gemma":[0.0969237,0.00043056763,0.89731723,0.00066595525,0.000121550875,0.0005221662,0.002991392,0.00041659258,0.00061083026],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9954171,0.0029502641,0.00034022628,0.00058848684,0.0005763238,0.00012761698],"domain_scores_gemma":[0.9655209,0.030009577,0.0009898223,0.0010710824,0.002052251,0.00035637192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007919222,0.0014401363,0.001217266,0.002717402,0.0010191527,0.0027084965,0.0014421956,0.0013504789,0.0062008193],"category_scores_gemma":[0.055257056,0.00074332417,0.0023732348,0.0023884894,0.00067760673,0.0019563185,0.0018740686,0.0030592112,0.0018543571],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005046383,0.00038848026,0.008008766,0.0010870715,0.0004922998,0.0006659663,0.0014530001,0.28047195,0.00152542,0.025272205,0.035326883,0.6448034],"study_design_scores_gemma":[0.00016846201,0.00016324643,0.0011844845,0.00043190958,0.0002034739,0.00017216217,0.00038473195,0.82845026,0.0015219122,0.15008058,0.017160522,0.00007829468],"about_ca_topic_score_codex":0.014097427,"about_ca_topic_score_gemma":0.01982759,"teacher_disagreement_score":0.014097427,"about_ca_system_score_codex":0.001803314,"about_ca_system_score_gemma":0.0037737817,"threshold_uncertainty_score":0.041881323},"labels":[],"label_agreement":null},{"id":"W1991216765","doi":"10.2217/pme.14.53","title":"Personalized Medicine in Oncology: Ethical Implications for The Delivery of Healthcare","year":2014,"lang":"en","type":"article","venue":"Personalized Medicine","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Personalized medicine; Health care; Precision medicine; Medicine; Healthcare delivery; Oncology; Healthcare system; Internal medicine; Alternative medicine; Bioinformatics; Political science","score_opus":0.03539512622623538,"score_gpt":0.3645279712296499,"score_spread":0.32913284500341455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991216765","genre_codex":"commentary","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0046325936,0.00836674,0.053641286,0.8795145,0.0033137477,0.000114339484,0.000042641328,0.000039185412,0.050334863],"genre_scores_gemma":[0.5255943,0.013813774,0.07865941,0.3455632,0.0129250055,0.00063877023,0.00007642232,0.00019919354,0.022529978],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9277464,0.04978106,0.002581513,0.0028071487,0.014280309,0.0028035236],"domain_scores_gemma":[0.9062732,0.068933,0.005029859,0.00654736,0.008034339,0.005182214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08643531,0.00078416994,0.0013061409,0.0013081508,0.009101682,0.013949538,0.0025061914,0.018908503,0.003256242],"category_scores_gemma":[0.097059175,0.0005801813,0.0009471655,0.0012872564,0.05855666,0.014586182,0.009231106,0.02220232,0.00096730195],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013999227,0.00002482567,0.00030138044,0.000050313876,0.000010638134,0.00013920169,0.0018131299,0.00042143604,0.000116801224,0.978011,0.0104258945,0.00867131],"study_design_scores_gemma":[0.000018507846,0.000027401278,0.00022100992,0.00024238031,0.000008727484,0.00029137745,0.0012903456,0.0006197472,0.00016562147,0.9415443,0.05553621,0.000034324912],"about_ca_topic_score_codex":0.0027824633,"about_ca_topic_score_gemma":0.002735322,"teacher_disagreement_score":0.08643531,"about_ca_system_score_codex":0.0077780853,"about_ca_system_score_gemma":0.023278698,"threshold_uncertainty_score":0.45711905},"labels":[],"label_agreement":null},{"id":"W2004738774","doi":"10.2217/pme.09.43","title":"Use of Personalized Medicine in the Selection of Patients for Renal Transplantation: Views of Quebec Transplant Physicians and Referring Nephrologists","year":2009,"lang":"en","type":"article","venue":"Personalized Medicine","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Hôpital Notre-Dame; Université de Montréal","funders":"","keywords":"Medicine; Transplantation; Renal transplant; Personalized medicine; Selection (genetic algorithm); Internal medicine; Family medicine; Intensive care medicine; Bioinformatics; Biology","score_opus":0.06504543306035908,"score_gpt":0.3329588573331126,"score_spread":0.2679134242727535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004738774","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91298604,0.0031386002,0.0011646388,0.07059474,0.00013918144,0.00013168252,0.00009481137,0.000021045284,0.01172916],"genre_scores_gemma":[0.9920018,0.00073055783,0.0006438858,0.0056244233,0.000027201511,0.00003314832,0.000019551784,0.000005125861,0.000914311],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.977358,0.017642155,0.0005067823,0.00055208895,0.0020917386,0.0018492513],"domain_scores_gemma":[0.94587046,0.034933332,0.005450364,0.00059070456,0.006365073,0.0067901006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01650141,0.00028449052,0.0003621819,0.0010054805,0.011852222,0.0045466637,0.0012793879,0.0029156434,0.0029962328],"category_scores_gemma":[0.035085745,0.00027475445,0.00032663782,0.0012956318,0.0066255815,0.001776099,0.002605929,0.0030177932,0.00016891347],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018789001,0.00012575864,0.082799,0.0002979185,0.00004182549,0.0036277191,0.86823195,0.00029802707,0.0016854419,0.0021412834,0.011922613,0.028640518],"study_design_scores_gemma":[0.000056891036,0.00014861133,0.05824351,0.00077110494,0.000041962907,0.0014858178,0.9036586,0.0009008289,0.00041411637,0.00069138804,0.033439446,0.00014769746],"about_ca_topic_score_codex":0.6206676,"about_ca_topic_score_gemma":0.74394554,"teacher_disagreement_score":0.96876997,"about_ca_system_score_codex":0.031230045,"about_ca_system_score_gemma":0.029559184,"threshold_uncertainty_score":0.76313275},"labels":[],"label_agreement":null},{"id":"W2105201864","doi":"10.2217/pme.09.21","title":"‘Principled‘ Personalized Medicine?","year":2009,"lang":"en","type":"article","venue":"Personalized Medicine","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University and Génome Québec Innovation Centre","funders":"Genome Canada","keywords":"Personalized medicine; Medicine; Precision medicine; Bioinformatics; Biology; Pathology","score_opus":0.023303633671930543,"score_gpt":0.3251554778271835,"score_spread":0.30185184415525296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105201864","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014056917,0.020648094,0.04379817,0.89332515,0.0059406892,0.000059839826,0.00009012188,0.00015590803,0.03457638],"genre_scores_gemma":[0.26581815,0.026735937,0.08481132,0.5845643,0.018681929,0.00055150193,0.00032190888,0.00029228517,0.018222697],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9508232,0.032967467,0.0016665191,0.0038214289,0.00917794,0.0015434241],"domain_scores_gemma":[0.96666646,0.020325163,0.002010736,0.006745587,0.002734464,0.0015175669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.060484584,0.00082565483,0.0016835692,0.0011373298,0.0026321497,0.008753871,0.0031733718,0.013537937,0.008264822],"category_scores_gemma":[0.06037753,0.0008316776,0.0009253695,0.0011202391,0.05119125,0.018327579,0.00819164,0.018490745,0.003045109],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030558134,0.00002728714,0.0002168725,0.00027119226,0.000044788456,0.00009364712,0.0019068335,0.00037937934,0.00020773291,0.9093209,0.054913636,0.03258713],"study_design_scores_gemma":[0.000018292038,0.000013087124,0.00012301317,0.0002815539,0.000008907467,0.0001641076,0.00041622997,0.00020461828,0.00013858033,0.8358912,0.16272154,0.000018825269],"about_ca_topic_score_codex":0.0014643729,"about_ca_topic_score_gemma":0.0014300524,"teacher_disagreement_score":0.060484584,"about_ca_system_score_codex":0.005646137,"about_ca_system_score_gemma":0.009256676,"threshold_uncertainty_score":0.3198769},"labels":[],"label_agreement":null},{"id":"W2106909021","doi":"10.2217/pme.09.61","title":"Conference Scene: Direct-to-Consumer Genetic Testing in the Age of Personalized Medicine","year":2009,"lang":"en","type":"article","venue":"Personalized Medicine","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Genetic testing; Personal genomics; Personalized medicine; Test (biology); Medicine; Internet privacy; Genomics; Business; Marketing; Computer science; Genome; Genetics; Biology","score_opus":0.08424345717466815,"score_gpt":0.35144251687343203,"score_spread":0.2671990596987639,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106909021","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0044124713,0.015422757,0.0021956703,0.803056,0.08297547,0.00015562864,0.00049634476,0.00022302066,0.09106257],"genre_scores_gemma":[0.08904161,0.017741479,0.004987911,0.43209568,0.08693886,0.00030165407,0.0010870555,0.0006496351,0.36715615],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99478143,0.0017829034,0.00014561303,0.00047431095,0.0020295617,0.000786091],"domain_scores_gemma":[0.9920117,0.003653237,0.00037945076,0.00031253888,0.0018382773,0.001804749],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.009263514,0.00080094783,0.0004966891,0.0009028164,0.00570909,0.0068452656,0.0014897827,0.010675109,0.021405635],"category_scores_gemma":[0.013239507,0.0003472213,0.00060958,0.00093869405,0.003801064,0.0037440846,0.0041455133,0.012517294,0.004489998],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037158214,0.000022448789,0.00021887112,0.000059347858,0.0000034056059,0.00023641993,0.0008785089,0.00003758518,0.00043845942,0.010044551,0.9771568,0.010866365],"study_design_scores_gemma":[0.000010599148,0.000020305417,0.0007782166,0.00008489509,0.000004174747,0.00016403879,0.001082318,0.000042421827,0.0003115802,0.001209882,0.99627507,0.000016503243],"about_ca_topic_score_codex":0.014203913,"about_ca_topic_score_gemma":0.026012354,"teacher_disagreement_score":0.9942909,"about_ca_system_score_codex":0.0049837683,"about_ca_system_score_gemma":0.006059526,"threshold_uncertainty_score":0.07160902},"labels":[],"label_agreement":null},{"id":"W2109521413","doi":"10.2217/17410541.5.3.219","title":"Curidium Medica, Plc","year":2008,"lang":"en","type":"article","venue":"Personalized Medicine","topic":"Schizophrenia research and treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Indigenous Peoples' Health","funders":"","keywords":"Medicine; Personalized medicine; Disease; Schizophrenia (object-oriented programming); Bipolar disorder; Precision medicine; Identification (biology); Psychiatry; Bioinformatics; Internal medicine; Pathology; Biology","score_opus":0.052980985981220016,"score_gpt":0.3351575298482726,"score_spread":0.28217654386705254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109521413","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00466753,0.03604692,0.002539338,0.016922344,0.0036880826,0.0004689374,0.005879931,0.004771598,0.92501533],"genre_scores_gemma":[0.017013496,0.0119546205,0.0026548626,0.0064141946,0.00079107424,0.00019909284,0.004519453,0.0005827414,0.9558705],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984407,0.0001103029,0.000057927045,0.00043953425,0.00081036775,0.00014125915],"domain_scores_gemma":[0.99834156,0.00021350008,0.00019154605,0.0001561623,0.00057804893,0.0005192554],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009468249,0.0016067359,0.0006829512,0.003074278,0.0016686678,0.003497195,0.0012279641,0.0028584145,0.40894857],"category_scores_gemma":[0.0025090778,0.0005086045,0.00056567806,0.0016365602,0.0008163354,0.0017838684,0.0015874299,0.002609805,0.2520712],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005617733,0.00022265615,0.00083222263,0.0009399014,0.000026364576,0.0007945404,0.0001639999,0.000092045375,0.0092075,0.008284013,0.605911,0.3729639],"study_design_scores_gemma":[0.000056781195,0.00007526958,0.0007439883,0.00010192174,0.000010716788,0.00069374294,0.000036184825,0.000066165885,0.0008861184,0.0004538347,0.99686533,0.000009935466],"about_ca_topic_score_codex":0.004041512,"about_ca_topic_score_gemma":0.006562692,"teacher_disagreement_score":0.59105146,"about_ca_system_score_codex":0.0022597795,"about_ca_system_score_gemma":0.005038262,"threshold_uncertainty_score":0.8430631},"labels":[],"label_agreement":null},{"id":"W2159492172","doi":"10.2217/pme.13.87","title":"A New Twist on an Old Problem: Primary Care Physicians and Results From Direct-to-consumer Genetic Testing","year":2013,"lang":"en","type":"article","venue":"Personalized Medicine","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Primary care; Genetic testing; Medicine; Twist; Family medicine; Internal medicine","score_opus":0.01659753929351833,"score_gpt":0.2678769496007667,"score_spread":0.2512794103072484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159492172","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021010763,0.025656201,0.0025888663,0.9568148,0.0049539837,0.000009074187,0.00010055754,0.000029614825,0.0077457875],"genre_scores_gemma":[0.22022673,0.07005048,0.011051224,0.6341009,0.057816133,0.00008709371,0.00024255257,0.0002745884,0.006150228],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9329961,0.03854644,0.0038263719,0.004305123,0.018190047,0.0021360107],"domain_scores_gemma":[0.6831079,0.26171115,0.01441811,0.0102041485,0.021256303,0.009302421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07690021,0.00060428475,0.0018709903,0.004667185,0.0054542464,0.014323135,0.002733126,0.019063838,0.010836589],"category_scores_gemma":[0.21690962,0.0011658558,0.0010864602,0.004232458,0.04052224,0.036091026,0.008885547,0.02612491,0.002181462],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045732083,0.00015660663,0.029167846,0.0013681285,0.00022123472,0.003594076,0.018639915,0.000309877,0.0003509512,0.300294,0.44098037,0.20445971],"study_design_scores_gemma":[0.0001513708,0.0002570543,0.014229762,0.007512446,0.00017590747,0.009128989,0.024242854,0.0008162389,0.00028112333,0.5378395,0.40500376,0.0003610282],"about_ca_topic_score_codex":0.009774373,"about_ca_topic_score_gemma":0.013213748,"teacher_disagreement_score":0.07690021,"about_ca_system_score_codex":0.0065561603,"about_ca_system_score_gemma":0.006726471,"threshold_uncertainty_score":0.40669203},"labels":[],"label_agreement":null},{"id":"W2162646598","doi":"10.2217/pme.12.37","title":"After the Revolution? Ethical and Social Challenges in ‘Personalized Genomic Medicine‘","year":2012,"lang":"en","type":"article","venue":"Personalized Medicine","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Human Genome Research Institute","keywords":"Vision; Personalized medicine; Health care; Promotion (chess); Empowerment; Engineering ethics; Precision medicine; Order (exchange); Public relations; Medicine; Data science; Political science; Sociology; Computer science; Business; Bioinformatics; Politics; Engineering; Law; Biology","score_opus":0.04337167410290555,"score_gpt":0.32938094281569996,"score_spread":0.2860092687127944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162646598","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019067237,0.004372095,0.0015127817,0.9782818,0.0016027805,0.000008587104,0.000008816162,0.000010941068,0.012295391],"genre_scores_gemma":[0.25233436,0.0072995313,0.005411672,0.7153399,0.007327846,0.00014715549,0.000030558847,0.00009749545,0.0120115075],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9425761,0.040823508,0.0011655943,0.002980129,0.008110308,0.004344419],"domain_scores_gemma":[0.9221464,0.059337292,0.0032788762,0.0042282557,0.0051084277,0.0059009083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07569206,0.0006228093,0.0011587269,0.001128123,0.015296749,0.02015285,0.0023380106,0.03185884,0.005423853],"category_scores_gemma":[0.0664344,0.00050210336,0.0009341198,0.0014175146,0.08788487,0.02625869,0.01080067,0.03960148,0.0011956561],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020660358,0.00003050143,0.00022453797,0.000044524135,0.000010145076,0.00015668462,0.006804632,0.00012297119,0.00012160543,0.9380583,0.04600399,0.0084015],"study_design_scores_gemma":[0.000031882835,0.00003960998,0.00034963404,0.00023346578,0.000008734663,0.00023896284,0.0107819885,0.00025757996,0.00017906264,0.72756505,0.2602679,0.00004616994],"about_ca_topic_score_codex":0.0045569097,"about_ca_topic_score_gemma":0.0057595777,"teacher_disagreement_score":0.07569206,"about_ca_system_score_codex":0.00861264,"about_ca_system_score_gemma":0.0141626885,"threshold_uncertainty_score":0.40030265},"labels":[],"label_agreement":null},{"id":"W2175752811","doi":"10.2217/pme.15.35","title":"Evidence-Based and Precision Medicine: The Quest for Pragmatic Balance in Autism","year":2015,"lang":"en","type":"article","venue":"Personalized Medicine","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; SickKids Foundation; Centre for Addiction and Mental Health; University of Toronto; McMaster University","funders":"","keywords":"Precision medicine; Evidence-based medicine; Autism; Personalized medicine; Alternative medicine; Evidence-based practice; Health care; Psychology; Medicine; Medical education; Family medicine; Psychiatry; Bioinformatics; Political science; Law","score_opus":0.14082959066632772,"score_gpt":0.39005059479477105,"score_spread":0.24922100412844334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2175752811","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026827846,0.1921379,0.041089825,0.74326056,0.0055696364,0.00018196835,0.00024262967,0.00013772052,0.014696991],"genre_scores_gemma":[0.360755,0.11000328,0.12475807,0.3737997,0.026309738,0.001729089,0.00028715876,0.00028779657,0.0020700882],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.83399546,0.11913789,0.011913228,0.0073590074,0.025931006,0.0016635092],"domain_scores_gemma":[0.51917714,0.43300322,0.011377965,0.015667506,0.016499665,0.00427444],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.23587294,0.0024176985,0.011609191,0.0072439,0.0043808618,0.017999278,0.0071321586,0.016281271,0.006704813],"category_scores_gemma":[0.3176441,0.0018209224,0.002768804,0.0030552826,0.041630246,0.031002391,0.0139436815,0.024146961,0.0010690026],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007394985,0.00027706753,0.0020820384,0.013567588,0.0032896453,0.0002853402,0.002297732,0.003516068,0.00050437805,0.7793705,0.03694731,0.15712279],"study_design_scores_gemma":[0.0002707141,0.00010993934,0.0005860399,0.0058580353,0.00042322118,0.00011466889,0.0005520645,0.0012551529,0.00019974422,0.96568274,0.024852538,0.000095208656],"about_ca_topic_score_codex":0.004950557,"about_ca_topic_score_gemma":0.0069101476,"teacher_disagreement_score":0.23587294,"about_ca_system_score_codex":0.015343397,"about_ca_system_score_gemma":0.024041498,"threshold_uncertainty_score":0.94230473},"labels":[],"label_agreement":null},{"id":"W2572886822","doi":"10.2217/pme-2016-0083","title":"Highly Personalized Reports for Personalized Drug Selection by Expert Systems as Clinical Decision Support","year":2017,"lang":"en","type":"editorial","venue":"Personalized Medicine","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Optina Diagnostics (Canada)","funders":"","keywords":"Pharmacogenomics; Medicine; MEDLINE; Personalized medicine; Pharmacogenetics; Family medicine; Pharmacology; Bioinformatics; Political science; Genotype","score_opus":0.09652853675061328,"score_gpt":0.502140253848471,"score_spread":0.40561171709785776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2572886822","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000045009958,0.010724654,0.0010539169,0.0729249,0.91385454,0.000031808057,0.00006420412,0.000119842975,0.0011810617],"genre_scores_gemma":[0.00051371695,0.0056814607,0.0007155823,0.031346675,0.9579575,0.000032063323,0.000031007065,0.000041880958,0.003680044],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98824316,0.0039991224,0.0018263963,0.00092370145,0.0046119536,0.00039573095],"domain_scores_gemma":[0.92108727,0.05421093,0.0032204608,0.0020466093,0.016442483,0.002992286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015742015,0.0032980447,0.0035270047,0.0038921265,0.0018609539,0.009086206,0.0037812393,0.018506644,0.009210357],"category_scores_gemma":[0.059264243,0.0014983738,0.0032369338,0.001467001,0.0033796886,0.005615362,0.0025237387,0.026496401,0.0070204493],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004337018,0.00001282722,0.000027803912,0.00028357178,0.000053852535,0.000096902215,0.000011738522,0.000057145546,0.000056362478,0.0009947435,0.98546195,0.012899679],"study_design_scores_gemma":[0.0001451779,0.000038688584,0.00020433283,0.00080402807,0.00015801095,0.00033169717,0.00002748601,0.0007488236,0.00023558318,0.005973491,0.9912888,0.00004383991],"about_ca_topic_score_codex":0.0009366554,"about_ca_topic_score_gemma":0.0022723738,"teacher_disagreement_score":0.018506644,"about_ca_system_score_codex":0.00274178,"about_ca_system_score_gemma":0.0031318064,"threshold_uncertainty_score":0.08325273},"labels":[],"label_agreement":null},{"id":"W2574568982","doi":"10.2217/pme-2016-0094","title":"The Next Personalized Medicine Evolution in Orthopedics: How Diagnosing and Treating Scoliosis are About to Change","year":2017,"lang":"en","type":"editorial","venue":"Personalized Medicine","topic":"Scoliosis diagnosis and treatment","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal","funders":"","keywords":"Medicine; Scoliosis; Orthopedic surgery; Idiopathic scoliosis; Personalized medicine; Family medicine; Population; General surgery; Physical therapy; Surgery; Bioinformatics; Biology","score_opus":0.07220099007100131,"score_gpt":0.358349095900738,"score_spread":0.2861481058297367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2574568982","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000019360135,0.008719904,0.00014118063,0.0730258,0.91727936,0.000009530406,0.000026086569,0.000042316682,0.00073633296],"genre_scores_gemma":[0.00022120895,0.0053988798,0.00012559447,0.038136672,0.9531472,0.00001217262,0.000014768874,0.000021802265,0.0029217966],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9911714,0.0023503639,0.0011782664,0.0008168687,0.003964129,0.00051890337],"domain_scores_gemma":[0.9426126,0.032519277,0.0028062644,0.001052574,0.015254807,0.005754529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012133165,0.0034163245,0.0047456096,0.003540377,0.0036739612,0.010834513,0.0039384756,0.02639466,0.010571427],"category_scores_gemma":[0.04453908,0.0012655781,0.0031778626,0.0013969304,0.003996951,0.0078068865,0.0026659616,0.041291445,0.0077619134],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003060401,0.000016040929,0.000035028257,0.00029824662,0.00003092141,0.00010472136,0.00002307738,0.00002963652,0.00003813423,0.000634484,0.99129874,0.007460433],"study_design_scores_gemma":[0.00009526575,0.000048016835,0.00028579,0.0011710877,0.00012316728,0.00036665102,0.00010420535,0.00024383192,0.000093535644,0.0032515358,0.9941724,0.000044611294],"about_ca_topic_score_codex":0.0021531947,"about_ca_topic_score_gemma":0.0067937565,"teacher_disagreement_score":0.02639466,"about_ca_system_score_codex":0.004029545,"about_ca_system_score_gemma":0.0059548025,"threshold_uncertainty_score":0.06416708},"labels":[],"label_agreement":null},{"id":"W2580655969","doi":"10.2217/pme-2016-0090","title":"Noncoding RNA for Personalized Prostate Cancer Treatment: Utilizing the ‘Dark Matters’ of the Genome","year":2017,"lang":"en","type":"article","venue":"Personalized Medicine","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research; Princess Margaret Cancer Foundation","keywords":"Prostate cancer; Transcriptome; Genome; Disease; Long non-coding RNA; Cancer; Personalized medicine; Computational biology; microRNA; Gene; Non-coding RNA; Medicine; Bioinformatics; RNA; Biology; Genetics; Internal medicine; Gene expression","score_opus":0.03893544863948092,"score_gpt":0.3469753003754922,"score_spread":0.3080398517360113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2580655969","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027967617,0.7686797,0.06627309,0.11005306,0.0053883325,0.00007716409,0.00032487052,0.0004575335,0.020778708],"genre_scores_gemma":[0.32415703,0.58281386,0.04701043,0.028721316,0.004978094,0.000105596046,0.00031264423,0.00016003422,0.011741026],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99964905,0.00011831272,0.00001491456,0.00006574502,0.00010379132,0.0000481429],"domain_scores_gemma":[0.99946743,0.0002669484,0.000066041226,0.00005363141,0.000069718444,0.000076338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00129146,0.00039904017,0.00061293854,0.0004612349,0.00053141493,0.0018783726,0.00051342667,0.0012202169,0.0032458862],"category_scores_gemma":[0.0010405742,0.00016754327,0.00042818068,0.00036302087,0.0014723599,0.002210996,0.0011469513,0.0020706533,0.0008703815],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033039332,0.00016457358,0.0025224506,0.002235228,0.00015270583,0.00056728575,0.00050101883,0.0018529462,0.13182999,0.10161828,0.028706808,0.7295183],"study_design_scores_gemma":[0.00008278514,0.0005502762,0.005071945,0.0012854483,0.0002527863,0.0023708176,0.00087036664,0.0051581142,0.07380675,0.17260346,0.7378121,0.00013508073],"about_ca_topic_score_codex":0.00038405784,"about_ca_topic_score_gemma":0.0008907023,"teacher_disagreement_score":0.0032458862,"about_ca_system_score_codex":0.0007140559,"about_ca_system_score_gemma":0.0011372046,"threshold_uncertainty_score":0.010858595},"labels":[],"label_agreement":null},{"id":"W2768705105","doi":"10.2217/pme-2017-0038","title":"Incorporating the ‘Theory of Planned Behavior’ Into Personalized Healthcare Behavior Change Research: A Call to Action","year":2017,"lang":"en","type":"article","venue":"Personalized Medicine","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Call to action; Theory of planned behavior; Behavior change; Health care; Action (physics); Personalized medicine; Health behavior; Psychology; Medicine; Computer science; Social psychology; Control (management); Bioinformatics; Artificial intelligence; Marketing; Business; Environmental health","score_opus":0.2039570959702148,"score_gpt":0.43796072726943813,"score_spread":0.23400363129922333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768705105","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018021872,0.021631705,0.29986474,0.621085,0.006902974,0.0023794826,0.00027932232,0.00038578638,0.029449128],"genre_scores_gemma":[0.36211327,0.027698345,0.43685502,0.15575999,0.0031497518,0.011870918,0.00027008858,0.00014084726,0.002141834],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.85737914,0.1276457,0.0026349635,0.0032161358,0.0079838345,0.0011401451],"domain_scores_gemma":[0.66726464,0.29773533,0.008462801,0.013732067,0.008229385,0.004575804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.14777577,0.0012362335,0.0028928472,0.0026793987,0.0034069212,0.009226982,0.004290705,0.006508301,0.003969164],"category_scores_gemma":[0.1712605,0.0011889281,0.0023039093,0.0023444502,0.020067366,0.01726833,0.0071003134,0.017043121,0.000852912],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032442342,0.0010625923,0.018604351,0.007203366,0.0007267486,0.00044418743,0.026040733,0.004054286,0.00057554507,0.4469671,0.025806617,0.4681901],"study_design_scores_gemma":[0.0001975393,0.001111723,0.0126966685,0.012726353,0.00039362747,0.00036301624,0.009389369,0.006694865,0.0005440551,0.8876064,0.06797605,0.00030038157],"about_ca_topic_score_codex":0.0073338053,"about_ca_topic_score_gemma":0.014170242,"teacher_disagreement_score":0.14777577,"about_ca_system_score_codex":0.0060197944,"about_ca_system_score_gemma":0.024663141,"threshold_uncertainty_score":0.7815223},"labels":[],"label_agreement":null},{"id":"W3037990761","doi":"10.2217/pme-2019-0136","title":"Public Interest in Whole Genome Sequencing and Information Needs: An Online Survey Study","year":2020,"lang":"en","type":"article","venue":"Personalized Medicine","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Whole genome sequencing; Personal genomics; Genome; Data science; Public health; DNA sequencing; Genomics; Computational biology; World Wide Web; Biology; Computer science; Medicine; Genetics; Gene","score_opus":0.8162303108446574,"score_gpt":0.5431916794543171,"score_spread":0.27303863139034024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037990761","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970919,0.00008194824,0.000038850587,0.0008153931,0.000003530573,0.000041167707,0.0003418997,0.000002286239,0.0015829838],"genre_scores_gemma":[0.9990201,0.00012507106,0.000079044126,0.00029219413,0.0000046761825,0.00002533522,0.00015692749,0.0000017970323,0.00029489727],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997454,0.00078284513,0.0001647355,0.00016299772,0.00071610813,0.0007194747],"domain_scores_gemma":[0.988408,0.004525827,0.0027088367,0.00025624197,0.0018922301,0.0022088755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037664676,0.0001269464,0.00025451116,0.0012905722,0.0014597129,0.0013775936,0.000475383,0.0007490327,0.0031007905],"category_scores_gemma":[0.012648712,0.00023782116,0.00024406242,0.0020868052,0.0009087563,0.0014199513,0.0010849708,0.000984967,0.00029061546],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007684804,0.00029468222,0.9715116,0.00007779069,0.000022231236,0.00021416559,0.017210206,0.000052549643,0.00012052284,0.0001446306,0.0015829502,0.008691921],"study_design_scores_gemma":[0.000015093045,0.00012304138,0.949012,0.000100914505,0.000016287382,0.00020276384,0.047644146,0.0003599273,0.000055442855,0.000072922194,0.0023794442,0.000018077451],"about_ca_topic_score_codex":0.34279048,"about_ca_topic_score_gemma":0.3599734,"teacher_disagreement_score":0.34279048,"about_ca_system_score_codex":0.0053652017,"about_ca_system_score_gemma":0.0051776418,"threshold_uncertainty_score":0.68159044},"labels":[],"label_agreement":null},{"id":"W3082938210","doi":"10.2217/pme-2020-0026","title":"Universal Tumor Screening for Lynch Syndrome: Perspectives of Patients Regarding Willingness and Informed Consent","year":2020,"lang":"en","type":"article","venue":"Personalized Medicine","topic":"Genetic factors in colorectal cancer","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"St. John’s Health Sciences Centre; Memorial University of Newfoundland","funders":"","keywords":"Lynch syndrome; Informed consent; Medicine; Family medicine; Colorectal cancer screening; Colorectal cancer; Health care; Genetic testing; Oncology; Internal medicine; Alternative medicine; Cancer; Colonoscopy; Pathology; DNA mismatch repair","score_opus":0.05041769728069359,"score_gpt":0.3097343313995562,"score_spread":0.25931663411886263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082938210","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81869024,0.0043861335,0.0012283836,0.14299624,0.0003741556,0.00022168302,0.00019218615,0.00003256866,0.03187844],"genre_scores_gemma":[0.9840544,0.00094658445,0.00056195166,0.013459396,0.00006131952,0.000042510856,0.000037755242,0.000005616109,0.00083045417],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.98468626,0.0106189875,0.00056315615,0.0003084426,0.0017036572,0.0021194168],"domain_scores_gemma":[0.9635174,0.019629735,0.0040255147,0.00083512045,0.004432803,0.0075594056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017177949,0.00019362,0.0003766113,0.000533587,0.0051237317,0.0035231453,0.00059517333,0.0020767942,0.0043579666],"category_scores_gemma":[0.049375713,0.0001942613,0.00042968127,0.0005113266,0.0046879747,0.0017110818,0.0024289074,0.0044030235,0.00039036153],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071211654,0.0004933839,0.34070283,0.0006233223,0.00016087826,0.0070256707,0.45375815,0.00050470914,0.003714128,0.013026679,0.05547898,0.12379919],"study_design_scores_gemma":[0.00019024708,0.0009310957,0.13408674,0.0022158986,0.0001477875,0.009593601,0.71528655,0.0011033777,0.0011142981,0.010383593,0.1245983,0.00034848793],"about_ca_topic_score_codex":0.049566608,"about_ca_topic_score_gemma":0.06467787,"teacher_disagreement_score":0.049566608,"about_ca_system_score_codex":0.0053904187,"about_ca_system_score_gemma":0.014431288,"threshold_uncertainty_score":0.09855616},"labels":[],"label_agreement":null},{"id":"W3097404387","doi":"10.2217/pme-2020-0033","title":"Big Data in Severe Mental Illness: the Role of Electronic Monitoring Tools and Metabolomics","year":2020,"lang":"en","type":"review","venue":"Personalized Medicine","topic":"Tryptophan and brain disorders","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Marie Curie","keywords":"Big data; Mental illness; Psychological intervention; Data science; Intervention (counseling); Perspective (graphical); Personalized medicine; Medicine; Computer science; Mental health; Bioinformatics; Psychiatry; Data mining; Artificial intelligence; Biology","score_opus":0.1059765048723285,"score_gpt":0.3441730809566965,"score_spread":0.238196576084368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097404387","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016798908,0.9914308,0.0011165147,0.0052914866,0.0005618653,0.000016471702,0.00008513573,0.000021510787,0.00130823],"genre_scores_gemma":[0.0017629658,0.9938285,0.0014518657,0.001687262,0.0009740423,0.000028497047,0.00007598611,0.000006447212,0.00018443426],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981166,0.0009549282,0.00019755111,0.00018581268,0.0004571861,0.00008796434],"domain_scores_gemma":[0.982262,0.015052782,0.000743682,0.00038158573,0.0011693334,0.00039059363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005892468,0.0009092725,0.0019001936,0.0036301094,0.0004679423,0.003070063,0.0014486884,0.0025876963,0.0028179286],"category_scores_gemma":[0.009331248,0.00035980952,0.0014338619,0.004630371,0.0018495446,0.004678582,0.0023585788,0.004163932,0.0008192815],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008438656,0.000045269346,0.0009182465,0.025545007,0.00046539993,0.0002219631,0.0002833955,0.00067373633,0.00055330683,0.042151034,0.03096497,0.8980934],"study_design_scores_gemma":[0.000028280414,0.00011201228,0.0030859471,0.030392542,0.0003285,0.0009998262,0.00043604427,0.00053534994,0.00038497016,0.04102092,0.9225919,0.000083630046],"about_ca_topic_score_codex":0.0020626779,"about_ca_topic_score_gemma":0.0026501326,"teacher_disagreement_score":0.005892468,"about_ca_system_score_codex":0.0015477543,"about_ca_system_score_gemma":0.0037413163,"threshold_uncertainty_score":0.031162739},"labels":[],"label_agreement":null},{"id":"W3164031246","doi":"10.2217/pme-2021-0030","title":"Sino-European Science and Technology Collaboration on Personalized Medicine: Overview, Trends and Future Perspectives","year":2021,"lang":"en","type":"review","venue":"Personalized Medicine","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"H2020 Health; Institute of Genetics; Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences; European Commission","keywords":"Personalized medicine; China; Science policy; Health care; Business; Political science; Healthcare system; Public relations; Engineering ethics; Medicine; Knowledge management; Engineering; Public administration; Computer science; Bioinformatics","score_opus":0.06395361676459436,"score_gpt":0.42587527605605524,"score_spread":0.36192165929146086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164031246","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00018440893,0.9963062,0.00011958841,0.0021714193,0.00018548412,0.000006619992,0.000030930947,0.000004180615,0.0009911652],"genre_scores_gemma":[0.0028744414,0.99573946,0.00025115904,0.00074379257,0.00018421371,0.000015751577,0.000047959697,0.0000020555249,0.00014120573],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99705803,0.0011212922,0.00057501934,0.00032821595,0.0006217602,0.00029575167],"domain_scores_gemma":[0.9882345,0.007935084,0.0013526891,0.00021198964,0.0017733026,0.0004923995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008042267,0.0008424317,0.0016132386,0.006382808,0.0007499597,0.0036042042,0.0009864446,0.0022666869,0.0055023786],"category_scores_gemma":[0.008918259,0.00028436037,0.0013551732,0.010413546,0.0010008133,0.0036263824,0.0023410167,0.0021479025,0.00090580893],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000153846,0.00009225159,0.0025461318,0.09876115,0.0008212965,0.00031137155,0.0007476375,0.00043915177,0.00043382574,0.033488624,0.026040496,0.8361641],"study_design_scores_gemma":[0.0000424933,0.00012603792,0.004970224,0.12140159,0.0012774996,0.0010674132,0.0010652153,0.0001944017,0.00037069025,0.008665872,0.8607772,0.00004130124],"about_ca_topic_score_codex":0.0034665305,"about_ca_topic_score_gemma":0.0064296555,"teacher_disagreement_score":0.008042267,"about_ca_system_score_codex":0.0025277585,"about_ca_system_score_gemma":0.013399713,"threshold_uncertainty_score":0.042532027},"labels":[],"label_agreement":null},{"id":"W4399087967","doi":"10.1080/17410541.2024.2341608","title":"The effect of <i>RNLS</i> gene polymorphisms on preeclampsia susceptibility: a meta-analysis study","year":2024,"lang":"en","type":"review","venue":"Personalized Medicine","topic":"Birth, Development, and Health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Preeclampsia; Meta-analysis; Medicine; Genetics; Gene; Bioinformatics; Internal medicine; Biology; Oncology; Pregnancy","score_opus":0.12237319908763666,"score_gpt":0.41635508536027727,"score_spread":0.2939818862726406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399087967","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016614871,0.98010933,0.0012399417,0.0004639686,0.0002685851,0.00016294692,0.0006088733,0.000035811277,0.00049558224],"genre_scores_gemma":[0.42205015,0.5691896,0.0039679636,0.0012564468,0.0006595845,0.0006449119,0.0014407164,0.000055054108,0.0007355547],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9953483,0.0023669067,0.00091809646,0.00071032904,0.0004229755,0.00023331564],"domain_scores_gemma":[0.9920678,0.0060617398,0.00084010046,0.00036484556,0.00053602795,0.00012949853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006918189,0.0022797198,0.0095786555,0.0033532144,0.000590796,0.0022135105,0.0014961874,0.0017074236,0.0027274108],"category_scores_gemma":[0.015260053,0.0009413877,0.027556403,0.005344954,0.0003843549,0.0009462752,0.00095605204,0.0016299372,0.0002541273],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0036333478,0.00005509655,0.024966218,0.0875305,0.8624212,0.0002761506,0.00008530281,0.00087280053,0.0005385553,0.00026181544,0.0009135346,0.018445496],"study_design_scores_gemma":[0.0003387981,0.00018295011,0.010301367,0.0048785442,0.9818079,0.00014067475,0.000031941483,0.00036531812,0.00015833903,0.00028259846,0.0014959896,0.000015566666],"about_ca_topic_score_codex":0.0049248794,"about_ca_topic_score_gemma":0.007954552,"teacher_disagreement_score":0.0095786555,"about_ca_system_score_codex":0.0011917362,"about_ca_system_score_gemma":0.0017534805,"threshold_uncertainty_score":0.036587358},"labels":[],"label_agreement":null},{"id":"W4411071429","doi":"10.1080/17410541.2025.2515000","title":"Clarifying a working definition for ‘precision communication’: a scoping review of medical literature on communication","year":2025,"lang":"en","type":"review","venue":"Personalized Medicine","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Children's Hospital; McGill University; McGill University Health Centre","funders":"","keywords":"Risk communication; Computer science; Data science; Management science; Medicine; Engineering ethics; Psychology; Risk analysis (engineering); Engineering","score_opus":0.5073701667384327,"score_gpt":0.5820736524106253,"score_spread":0.07470348567219254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411071429","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013508577,0.9788061,0.005535947,0.00993401,0.0013945489,0.00083222386,0.00016870849,0.000026603366,0.0019510539],"genre_scores_gemma":[0.035960827,0.92350215,0.02309097,0.01053852,0.0010217649,0.0048874575,0.00045720392,0.00004335356,0.00049778755],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.8665679,0.07333277,0.0386338,0.005023308,0.0144837415,0.0019585355],"domain_scores_gemma":[0.6350556,0.30519938,0.02755654,0.005811732,0.025014328,0.0013625015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.118534036,0.0025480108,0.0065414244,0.043008983,0.003693337,0.012033201,0.005256073,0.008021159,0.0033258277],"category_scores_gemma":[0.25769705,0.0020422498,0.0068515763,0.02915226,0.008303986,0.023025151,0.008072955,0.005724555,0.0007815172],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016850868,0.000060179158,0.0021393565,0.6368565,0.0019276761,0.00049454725,0.014386851,0.00050440687,0.00066684047,0.034722798,0.0136914505,0.29438093],"study_design_scores_gemma":[0.00004560487,0.00006891976,0.001439895,0.904811,0.0027505853,0.0005770339,0.005528298,0.00020213632,0.00029354368,0.008423139,0.07579482,0.00006492567],"about_ca_topic_score_codex":0.0050214594,"about_ca_topic_score_gemma":0.007336524,"teacher_disagreement_score":0.118534036,"about_ca_system_score_codex":0.011311802,"about_ca_system_score_gemma":0.044829678,"threshold_uncertainty_score":0.6268754},"labels":[],"label_agreement":null},{"id":"W4412615633","doi":"10.1080/17410541.2025.2535276","title":"A scoping review of the cost-effectiveness of precision treatment in chronic lymphocytic leukemia","year":2025,"lang":"en","type":"review","venue":"Personalized Medicine","topic":"Chronic Lymphocytic Leukemia Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"","keywords":"Chronic lymphocytic leukemia; Medicine; Leukemia; Intensive care medicine; Oncology; Bioinformatics; Immunology; Computational biology; Biology","score_opus":0.09417860314029478,"score_gpt":0.45831448019263876,"score_spread":0.36413587705234396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412615633","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00018038518,0.9988759,0.00008260723,0.00022176247,0.00008129248,0.00006902586,0.00010224464,0.000003903542,0.0003827795],"genre_scores_gemma":[0.0018871942,0.99745935,0.00020159916,0.00018344139,0.000038454156,0.00009729676,0.000066167624,0.0000023018627,0.00006424812],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9948501,0.0017857441,0.0017895442,0.0002650308,0.0011368148,0.00017272614],"domain_scores_gemma":[0.97696793,0.018498236,0.0023423492,0.0002214273,0.001823437,0.00014667267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007406368,0.0015008164,0.0063844626,0.009293021,0.0005799927,0.0031600087,0.0018494925,0.0021409183,0.006615499],"category_scores_gemma":[0.034346446,0.00087652734,0.006431051,0.012211646,0.0007158861,0.0019685286,0.0013194927,0.0015943212,0.0005320008],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021643622,0.000024587553,0.00020975657,0.82920915,0.0034310627,0.00007197144,0.00008805453,0.00033872595,0.00012954563,0.0009775284,0.004070808,0.1612323],"study_design_scores_gemma":[0.00011426529,0.0001227351,0.0011821678,0.9293426,0.018488484,0.00024548484,0.00011164836,0.00013643471,0.00015728164,0.00079962885,0.04927507,0.000024199364],"about_ca_topic_score_codex":0.0085780285,"about_ca_topic_score_gemma":0.012962874,"teacher_disagreement_score":0.009293021,"about_ca_system_score_codex":0.0047285375,"about_ca_system_score_gemma":0.010533394,"threshold_uncertainty_score":0.039169073},"labels":[],"label_agreement":null}]}