{"id":"W3165260953","doi":"","title":"Les contrecoups de l’invisibilisation des populations racisées : entrevue avec Fo Niemi, Bochra Manaï et Anne-Marie Livingstone","year":2021,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Art; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002334176,0.0002935138,0.000392454,0.000564431,0.004067176,0.002141848,0.0008999633,0.001415836,0.005259492],"category_scores_gemma":[0.005183675,0.0002126309,0.0002646049,0.0007390967,0.004370924,0.001833623,0.003783309,0.001889092,0.000195339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006457537,"about_ca_system_score_gemma":0.007281529,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3167094,"about_ca_topic_score_gemma":0.4700872,"domain_scores_codex":[0.9982217,0.0007598057,0.00003837821,0.0001540727,0.0003284985,0.0004974193],"domain_scores_gemma":[0.9969356,0.001204332,0.000682417,0.0001346055,0.0005640106,0.0004790431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005572442,0.0002382737,0.08776344,0.001373743,0.0002713073,0.002667796,0.3319914,0.0006969775,0.003749733,0.1891404,0.04740911,0.3341405],"study_design_scores_gemma":[0.00004620277,0.0003701635,0.2991678,0.001713912,0.000174036,0.001426386,0.1956274,0.0004632338,0.001743767,0.01834922,0.4807662,0.0001518215],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6673808,0.05392356,0.002158733,0.1578422,0.0006576131,0.00009559951,0.0002824223,0.00002807178,0.117631],"genre_scores_gemma":[0.9574836,0.01513346,0.0009859789,0.00345833,0.000161621,0.00007124661,0.00006039049,0.00001484716,0.02263052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6832906,"threshold_uncertainty_score":0.629732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01982665212195947,"score_gpt":0.2123215618513359,"score_spread":0.1924949097293764,"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."}}