{"id":"W2987826255","doi":"10.7202/1065692ar","title":"Favoriser l'autonomie du patient face aux données additionnelles en médecine génomique","year":2019,"lang":"fr","type":"article","venue":"Canadian Journal of Bioethics","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003771839,0.0002836971,0.0003382275,0.0001757524,0.0001811567,0.0001165972,0.0004103512,0.000622832,0.0007920247],"category_scores_gemma":[0.0003001442,0.0002835578,0.0003409273,0.00009807343,0.0004289604,0.00001899526,0.00005932479,0.0005387466,0.0001080216],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002398093,"about_ca_system_score_gemma":0.006961666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003284797,"about_ca_topic_score_gemma":0.01695524,"domain_scores_codex":[0.998327,0.0001852336,0.0005854348,0.0002855146,0.0001373546,0.0004794902],"domain_scores_gemma":[0.9975781,0.00007936682,0.000404546,0.0003425212,0.0005636042,0.001031858],"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":[0.001232849,0.001477295,0.1693084,0.001908334,0.004929417,0.003934226,0.01339143,0.03028054,0.06306907,0.1361856,0.5060901,0.06819279],"study_design_scores_gemma":[0.001531833,0.00168656,0.01042338,0.0004682199,0.0002354457,0.0007191327,0.004402633,0.0001543549,0.01092301,0.002086654,0.9666373,0.0007314798],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9293185,0.03415449,0.0002344636,0.02982527,0.00425082,0.0002207986,0.00113527,0.000002372418,0.000857949],"genre_scores_gemma":[0.9894866,0.005151388,0.0004374428,0.00201192,0.001251164,0.000002284345,0.0001465152,0.00004513606,0.001467576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4605472,"threshold_uncertainty_score":0.9999617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01702790321941699,"score_gpt":0.2336606626452447,"score_spread":0.2166327594258277,"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."}}