{"id":"W7028350533","doi":"","title":"Enseignement par modules : travail préliminaire à la rédaction d'une thèse pour l'Université de Montréal /","year":2015,"lang":"fr","type":"other","venue":"Bibliothèque et Archives nationales du Québec (Québec government)","topic":"Turbomachinery Performance and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Field (mathematics); Process (computing); Work (physics); Software; Context (archaeology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003828728,0.001083504,0.001040532,0.002930114,0.002214407,0.00366058,0.001804497,0.0009902272,0.02272604],"category_scores_gemma":[0.01109109,0.0004591039,0.001577674,0.004343019,0.0007215511,0.002083175,0.001388541,0.000979802,0.007889685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004830794,"about_ca_system_score_gemma":0.008616619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2161634,"about_ca_topic_score_gemma":0.2762538,"domain_scores_codex":[0.9960788,0.0005681721,0.0001237188,0.000560766,0.002130149,0.0005384273],"domain_scores_gemma":[0.9929805,0.0008774599,0.0002870326,0.000879221,0.004493874,0.0004818632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001012658,0.0008208668,0.04509652,0.0007792871,0.0002384068,0.0004339467,0.003524204,0.0493568,0.04320172,0.01115714,0.06209582,0.7822828],"study_design_scores_gemma":[0.000154,0.001304029,0.1463174,0.0003714912,0.0003322358,0.0004907105,0.002438688,0.1296607,0.1649055,0.005823344,0.5479339,0.0002678599],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4726564,0.003630444,0.3613882,0.002810338,0.000895709,0.001860541,0.01465447,0.01476659,0.1273373],"genre_scores_gemma":[0.5976093,0.002100511,0.1547193,0.0004794144,0.0002085622,0.0006153636,0.014975,0.003926542,0.2253659],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2161634,"threshold_uncertainty_score":0.4298105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004567634713804725,"score_gpt":0.1750637609911153,"score_spread":0.1704961262773105,"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."}}