{"id":"W4239263416","doi":"10.21037/tcr.2016.05.16","title":"Taking action on actionable mutations: a French initiative on universality in precision cancer care","year":2016,"lang":"en","type":"article","venue":"Translational Cancer Research","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Universality (dynamical systems); Action (physics); Medicine; Computational biology; Biology; Physics; Quantum mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005783428,0.0001022009,0.0001414214,0.0004903583,0.0002003483,0.00001686829,0.0000666377,0.0001989505,0.001953426],"category_scores_gemma":[0.0001019915,0.00007002879,0.00005281137,0.000688564,0.0003299043,0.0001696486,0.00000965175,0.0005518985,0.00002845919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001022927,"about_ca_system_score_gemma":0.001027376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003478886,"about_ca_topic_score_gemma":0.003526373,"domain_scores_codex":[0.9976015,0.0002159732,0.0002127852,0.000342882,0.001369024,0.0002578142],"domain_scores_gemma":[0.9984326,0.0006607769,0.00006093888,0.0001354829,0.0006013057,0.0001089238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003604806,0.0004619321,0.03675511,0.0003350077,0.0001150202,0.00002438208,0.006239116,0.002246475,0.02027438,0.02053408,0.0006622394,0.9087474],"study_design_scores_gemma":[0.003748248,0.0004483861,0.9667264,0.001957311,0.00001956456,0.000001726865,0.0005325712,0.0007644122,0.005157299,0.01076149,0.009722127,0.0001604382],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8943628,0.0009863403,0.001437168,0.08774055,0.0004406713,0.001462178,0.0002849646,0.00006647381,0.01321886],"genre_scores_gemma":[0.998178,0.0004922656,0.00008872981,0.0001657211,0.0002550116,0.0001714834,0.00006276889,0.00001517368,0.0005708206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9299713,"threshold_uncertainty_score":0.9989589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3231758916519895,"score_gpt":0.5235680103707834,"score_spread":0.2003921187187939,"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."}}