{"id":"W2907210532","doi":"10.4000/books.pum.4143","title":"Chapitre 24. Multidisciplinarité et doctorat","year":2016,"lang":"fr","type":"book-chapter","venue":"Presses de l’Université de Montréal eBooks","topic":"Education, sociology, and vocational training","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","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":[0.0009275167,0.0005395632,0.000353857,0.001215541,0.00335621,0.005036169,0.0007298138,0.001915764,0.04991703],"category_scores_gemma":[0.001829313,0.0002478127,0.0004478442,0.001707019,0.003268426,0.002545681,0.002396482,0.00327561,0.01557409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006132562,"about_ca_system_score_gemma":0.006828949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02137875,"about_ca_topic_score_gemma":0.03965898,"domain_scores_codex":[0.9985691,0.0003767863,0.0000549144,0.0001865941,0.0005939014,0.0002187606],"domain_scores_gemma":[0.9991991,0.0002422984,0.00006139821,0.00005378217,0.000243464,0.0002000466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002229892,0.00005568878,0.0004617572,0.000626803,0.0000080146,0.0002147357,0.008862239,0.0002467438,0.0003558622,0.4943503,0.4133059,0.08148967],"study_design_scores_gemma":[0.000002459172,0.000007336511,0.0005671802,0.0003697173,0.000001230731,0.00009651468,0.0009281444,0.00002432557,0.00006032574,0.01361753,0.98432,0.000005190066],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001697503,0.04855937,0.001656928,0.02319595,0.003286396,0.00007278995,0.0003394346,0.00007800141,0.9211137],"genre_scores_gemma":[0.05172182,0.05176954,0.002693754,0.01209248,0.003253184,0.0001395879,0.0004912631,0.0001950846,0.8776432],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04991703,"threshold_uncertainty_score":0.1669891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07791920596267676,"score_gpt":0.318029384002306,"score_spread":0.2401101780396293,"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."}}