{"id":"W7015125609","doi":"","title":"Rapport annuel du Service régional d'admission du Montréal métropolitain","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); Service (business); Quality (philosophy); Work (physics)","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":[0.002161502,0.0009365776,0.0007720594,0.003659474,0.004653453,0.005214357,0.0018051,0.003015064,0.1193828],"category_scores_gemma":[0.005713173,0.0005987847,0.0009590687,0.002798471,0.001147824,0.0009683219,0.002291093,0.002785694,0.01112236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03825362,"about_ca_system_score_gemma":0.07633703,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9573806,"about_ca_topic_score_gemma":0.9585691,"domain_scores_codex":[0.9968675,0.0003005038,0.000106799,0.0003284607,0.001246966,0.00114972],"domain_scores_gemma":[0.995469,0.0004720564,0.0002022881,0.0001997469,0.00165144,0.00200553],"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":[0.0003287615,0.0001827005,0.01690892,0.0002556955,0.00007021279,0.0007897888,0.0009211667,0.0007134185,0.0006383042,0.02507964,0.8798985,0.0742128],"study_design_scores_gemma":[0.00007489123,0.00002826483,0.05264549,0.0001322487,0.00001583784,0.0001098788,0.0004962186,0.0003333253,0.0003859341,0.0003357749,0.9454058,0.00003644175],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06587543,0.0181784,0.003065522,0.05620103,0.007876449,0.00145892,0.07319959,0.002197743,0.771947],"genre_scores_gemma":[0.0786307,0.003149643,0.001821956,0.002438898,0.0007618312,0.0004588234,0.007478806,0.0003642709,0.9048952],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1193828,"threshold_uncertainty_score":0.3993752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0128269757840246,"score_gpt":0.2245506116325514,"score_spread":0.2117236358485268,"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."}}