{"id":"W2769593007","doi":"10.1159/000479487","title":"The Canadian Path from Discovery to Implementation of Personalized Medicine Approaches","year":2017,"lang":"en","type":"article","venue":"Biomedicine Hub","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Cancer Research; Institute of Genetics","funders":"","keywords":"Personalized medicine; Precision medicine; Perspective (graphical); Healthcare delivery; Health care; Data science; Path (computing); Computer science; Engineering ethics; Medicine; Political science; Engineering; Bioinformatics; Artificial intelligence","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02846185,0.001131701,0.001261984,0.003599019,0.01628696,0.0205219,0.003928925,0.007740173,0.0159321],"category_scores_gemma":[0.05487006,0.0009649892,0.001438823,0.005680435,0.01886644,0.009281658,0.009355585,0.02238995,0.002268144],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1737357,"about_ca_system_score_gemma":0.4818853,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9543018,"about_ca_topic_score_gemma":0.9769655,"domain_scores_codex":[0.9613733,0.006031835,0.001437402,0.001939537,0.02419067,0.005027347],"domain_scores_gemma":[0.9056091,0.01488116,0.001835907,0.002192928,0.05780966,0.01767125],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008245843,0.00002371946,0.0007238181,0.0006444253,0.00007151539,0.0002465951,0.001759023,0.0002771726,0.0002587302,0.1603311,0.7776958,0.05788568],"study_design_scores_gemma":[0.00003055413,0.00001414585,0.0008738473,0.000505724,0.00003707568,0.0000794579,0.0008689294,0.0001294951,0.000186297,0.01424329,0.9829726,0.00005868801],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0006104548,0.03914618,0.001661523,0.9118541,0.01771593,0.0000458307,0.0003465142,0.0001697622,0.02844969],"genre_scores_gemma":[0.08094049,0.286342,0.02593895,0.5060145,0.02081355,0.0001857628,0.001232236,0.0009371518,0.07759529],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9715381,"threshold_uncertainty_score":0.9583495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3116774521116727,"score_gpt":0.477697168029458,"score_spread":0.1660197159177853,"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."}}