{"id":"W7005113391","doi":"","title":"Politique visant à prévenir et combattre les violences à caractère sexuel","year":2018,"lang":"fr","type":"other","venue":"Bibliothèque et Archives nationales du Québec (Québec government)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Identity (music); Economic Justice; Human trafficking","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":[0.00336089,0.0004727366,0.0004151703,0.002040072,0.007091054,0.005346229,0.00107356,0.001672335,0.02609774],"category_scores_gemma":[0.004963882,0.0003865311,0.0003683785,0.001922584,0.003924495,0.001360068,0.002273894,0.003080098,0.003442151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02451874,"about_ca_system_score_gemma":0.06018928,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6698411,"about_ca_topic_score_gemma":0.8424622,"domain_scores_codex":[0.9972247,0.0004994341,0.00009514747,0.0002765589,0.001313443,0.0005907281],"domain_scores_gemma":[0.9964086,0.0004619306,0.0004515208,0.0003401377,0.00150446,0.0008333244],"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":[0.000285305,0.0004629244,0.06075894,0.001950095,0.00012291,0.001077242,0.03154109,0.001137387,0.03411962,0.2338587,0.2071829,0.427503],"study_design_scores_gemma":[0.00001374192,0.0001026115,0.1259284,0.0009227397,0.00003727978,0.0003244276,0.007342071,0.0002487807,0.005661095,0.004978237,0.8543607,0.00007984733],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1184202,0.02057772,0.01651271,0.04313686,0.001522844,0.0007330547,0.004304627,0.0004155975,0.7943764],"genre_scores_gemma":[0.4221767,0.02347317,0.01552266,0.007351007,0.0003617531,0.0007615529,0.003731887,0.0001691129,0.5264522],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3301589,"threshold_uncertainty_score":0.6642065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006890724867365849,"score_gpt":0.2416104815240068,"score_spread":0.2347197566566409,"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."}}