{"id":"W2902590343","doi":"10.1016/j.jmir.2018.09.007","title":"Élargir nos horizons dans le milieu de la médecine personnalisée","year":2018,"lang":"fr","type":"editorial","venue":"Journal of medical imaging and radiation sciences","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre","funders":"","keywords":"Humanities; Philosophy; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.02219364,0.003452803,0.004245159,0.003335759,0.005386665,0.01535397,0.0044314,0.04703868,0.01296881],"category_scores_gemma":[0.09022587,0.001301264,0.003480498,0.001427828,0.008567018,0.00972504,0.004162695,0.04936719,0.007150612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00787725,"about_ca_system_score_gemma":0.007903581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003808955,"about_ca_topic_score_gemma":0.00757376,"domain_scores_codex":[0.9800525,0.006218857,0.001911604,0.002042802,0.008126383,0.001647887],"domain_scores_gemma":[0.912886,0.05397621,0.00494791,0.002084734,0.01744247,0.00866267],"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":[0.00003379546,0.0000124653,0.00002731989,0.0001935133,0.00002516562,0.0001714322,0.00006651303,0.00002532155,0.00003880015,0.001878989,0.9925388,0.004987957],"study_design_scores_gemma":[0.0000460282,0.0000182444,0.0001191463,0.0004458529,0.00003166708,0.0002502552,0.00008286189,0.00006917906,0.00004989105,0.002020852,0.9968439,0.0000220711],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002719299,0.01193956,0.00009992325,0.1590969,0.8280913,0.00000361116,0.00001497321,0.00002535836,0.0007012243],"genre_scores_gemma":[0.0004864715,0.003478679,0.00009614167,0.04554861,0.9467264,0.000008473909,0.000007132004,0.00002158286,0.003626398],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.04703868,"threshold_uncertainty_score":0.1173726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006122461752123183,"score_gpt":0.2969559775843164,"score_spread":0.2908335158321932,"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."}}