{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001874519,0.0001458365,0.0003959077,0.0001947665,0.0006711714,0.00004370066,0.0003392642,0.00008487546,0.000336535],"category_scores_gemma":[0.0122529,0.00007718098,0.00005377743,0.0001551843,0.0009121948,0.0001045485,0.00006151078,0.0002176673,0.00002640118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003050823,"about_ca_system_score_gemma":0.005011815,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4794189,"about_ca_topic_score_gemma":0.184027,"domain_scores_codex":[0.9973989,0.00006235908,0.000414777,0.000251664,0.001055581,0.0008167721],"domain_scores_gemma":[0.9940196,0.0002635513,0.0001639895,0.0007354094,0.0001471027,0.004670348],"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":[0.000884203,0.00009773635,0.05563319,0.0003211822,0.0002606992,0.0001795405,0.005596187,4.934101e-8,0.008988621,0.003204011,0.3864893,0.5383453],"study_design_scores_gemma":[0.005100244,0.001516875,0.4575132,0.0005421637,0.00009756715,0.00001131245,0.005017557,0.00003363468,0.0008143738,0.0002766867,0.5289629,0.0001134759],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3571889,0.001688784,0.0003025161,0.6299725,0.0007010144,0.001568455,0.0001655431,0.00002286107,0.008389439],"genre_scores_gemma":[0.9901728,0.0003755629,0.0001909811,0.00651324,0.001066837,0.00004442867,0.0001540118,0.00001776015,0.001464397],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6329839,"threshold_uncertainty_score":0.9960673,"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."}}