{"id":"W6992411253","doi":"","title":"La Recherche subventionnée et commanditée dans les universités du Québec : rapport annuel --","year":2015,"lang":"fr","type":"other","venue":"Bibliothèque et Archives nationales du Québec (Québec government)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Context (archaeology); Identification (biology); Population","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.009896424,0.001201941,0.001189375,0.006469865,0.00904733,0.01098226,0.002721816,0.003812858,0.09332386],"category_scores_gemma":[0.01491836,0.0007889408,0.001332416,0.01197832,0.002987978,0.002626837,0.003162045,0.003404836,0.009452309],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1100765,"about_ca_system_score_gemma":0.2886338,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9904975,"about_ca_topic_score_gemma":0.9933527,"domain_scores_codex":[0.991458,0.001168046,0.0003613548,0.000658774,0.004218951,0.002134991],"domain_scores_gemma":[0.9778653,0.002743727,0.0005666229,0.001307801,0.01376044,0.003756005],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002027664,0.0001488488,0.01071953,0.0007759801,0.00007273009,0.0002213716,0.002024434,0.0004642935,0.0009184099,0.04858125,0.8099451,0.1259254],"study_design_scores_gemma":[0.00004618858,0.00003596292,0.04423323,0.0006046168,0.00003298828,0.00006358857,0.001154984,0.000414235,0.0009020722,0.0009873492,0.9514667,0.00005810997],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0249592,0.06464719,0.005227761,0.105486,0.005107603,0.001033942,0.06291667,0.001902567,0.728719],"genre_scores_gemma":[0.05724223,0.01451867,0.005704147,0.004747725,0.0003447249,0.0003974988,0.01002594,0.0004973588,0.9065217],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9901036,"threshold_uncertainty_score":0.7986648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0672429874137299,"score_gpt":0.2779556130933322,"score_spread":0.2107126256796023,"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."}}