{"id":"W4323360573","doi":"10.51731/cjht.2022.590","title":"2023 Watch List: Top 10 Precision Medicine Technologies and Issues","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Health Technologies","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; York University; Hospital for Sick Children; University of Toronto; SickKids Foundation; Cancer Care Ontario","funders":"","keywords":"Precision medicine; Health care; Scope (computer science); Equity (law); Health equity; Mental health; Medicine; Computer science; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0100722,0.001816533,0.001484229,0.004704662,0.00423665,0.01272833,0.003937535,0.01137205,0.09626165],"category_scores_gemma":[0.02954781,0.0009246344,0.002074321,0.004681947,0.001963402,0.007696966,0.003642924,0.009127622,0.0569817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008175489,"about_ca_system_score_gemma":0.03842655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04584233,"about_ca_topic_score_gemma":0.08755567,"domain_scores_codex":[0.989838,0.0008203293,0.0007642027,0.0006039714,0.006318011,0.001655605],"domain_scores_gemma":[0.9387437,0.007974774,0.00238663,0.001445261,0.03956234,0.009887272],"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":[0.00003502349,0.00002926754,0.0002878387,0.0003389111,0.000006223301,0.0000700281,0.00002113715,0.00007025426,0.0003138535,0.004329268,0.9434913,0.0510069],"study_design_scores_gemma":[0.00001624118,0.00002916253,0.0005243435,0.0005951645,0.00001045726,0.00008594551,0.00004046474,0.00008259106,0.0002125756,0.001347703,0.997035,0.00002038688],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.002071685,0.0934107,0.01106039,0.3296292,0.1405239,0.001432771,0.01990287,0.005844416,0.3961241],"genre_scores_gemma":[0.01160198,0.13239,0.03013985,0.2654867,0.04357493,0.001554029,0.04051793,0.002723102,0.4720115],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.09626165,"threshold_uncertainty_score":0.3220273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3294868882497334,"score_gpt":0.4438877261962957,"score_spread":0.1144008379465623,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}