{"id":"W7066710587","doi":"","title":"Impact scientifique des femmes au Québec : compétentes ... mais victimes de discrimination","year":2016,"lang":"fr","type":"other","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Astrophysical Phenomena and Observations","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Legislation; Government (linguistics); Public policy; 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001578635,0.0004148631,0.000469804,0.001530465,0.006276793,0.002442863,0.0008034043,0.001365202,0.03399576],"category_scores_gemma":[0.007665628,0.0001821023,0.000436818,0.001962528,0.002066141,0.0009481812,0.001923978,0.002393074,0.001679375],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03367885,"about_ca_system_score_gemma":0.05307565,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9907477,"about_ca_topic_score_gemma":0.9942759,"domain_scores_codex":[0.9979957,0.0002976437,0.00003565977,0.0001136105,0.0007547529,0.0008025542],"domain_scores_gemma":[0.9938056,0.0006266902,0.000468012,0.0001575918,0.002959798,0.001982339],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003995431,0.000256688,0.2987648,0.0005738658,0.0001622569,0.001050215,0.01367664,0.000559388,0.001016684,0.02106114,0.4496486,0.2128302],"study_design_scores_gemma":[0.00004844238,0.0001265879,0.7531337,0.000973139,0.00008039759,0.0002736701,0.01647699,0.0003611757,0.0004185305,0.001070995,0.226971,0.00006536789],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4538507,0.02279736,0.00071351,0.1251828,0.002144569,0.0001769256,0.02333426,0.0001513183,0.3716486],"genre_scores_gemma":[0.7756369,0.01060957,0.0004311087,0.009871377,0.000403842,0.00009958727,0.003066312,0.0000678539,0.1998134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9984214,"threshold_uncertainty_score":0.2443582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01452131394889348,"score_gpt":0.2516545331277423,"score_spread":0.2371332191788489,"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."}}