{"id":"W4401654304","doi":"10.1515/9782763744209-016","title":"Réparer les fuites ou préparer la suite ?","year":2019,"lang":"fr","type":"book-chapter","venue":"","topic":"Health, Medicine and Society","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Computer 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":[0.001636811,0.0007836367,0.0004591183,0.0007791091,0.004121903,0.004203996,0.0009780201,0.004546196,0.05939681],"category_scores_gemma":[0.0034779,0.0003883775,0.0006389709,0.0005460003,0.00357262,0.005148506,0.001933665,0.00551378,0.02911997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004723731,"about_ca_system_score_gemma":0.00523786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03790462,"about_ca_topic_score_gemma":0.07353985,"domain_scores_codex":[0.9990305,0.0003107683,0.0000209924,0.0001190139,0.0002796489,0.0002392204],"domain_scores_gemma":[0.9995567,0.0001683689,0.00002784354,0.00003135505,0.00008877971,0.0001268815],"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":[0.00001937013,0.00004017911,0.0001683175,0.00005547891,0.000003873996,0.0001752994,0.002094274,0.0001026082,0.0001333161,0.1702087,0.7245241,0.1024744],"study_design_scores_gemma":[0.000001751356,0.000009543789,0.0001663031,0.0001017032,0.000001277242,0.0001360028,0.0005769853,0.00003029532,0.00003262719,0.006201855,0.9927366,0.000005096763],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001361612,0.0277622,0.002786196,0.08526432,0.0203936,0.00003358083,0.000132215,0.0001962231,0.86207],"genre_scores_gemma":[0.008095187,0.007538499,0.001091424,0.009736924,0.003025145,0.00002274381,0.00004551572,0.00008029769,0.9703643],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05939681,"threshold_uncertainty_score":0.1987021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.104500677295222,"score_gpt":0.4073113959762072,"score_spread":0.3028107186809852,"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."}}