{"id":"W4206063407","doi":"10.3917/admed.165.0257","title":"Diversités","year":2020,"lang":"fr","type":"article","venue":"Administration & Éducation","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science","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":[0.001191211,0.0006512288,0.0005132953,0.002424309,0.003334639,0.005727066,0.0008917846,0.001292315,0.48457],"category_scores_gemma":[0.002551968,0.0003271296,0.0004039555,0.001730197,0.0006831849,0.002205178,0.004527245,0.002073233,0.1942175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001502622,"about_ca_system_score_gemma":0.002600451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002062933,"about_ca_topic_score_gemma":0.004758514,"domain_scores_codex":[0.9989974,0.0001771468,0.00004299552,0.0001483058,0.0004274553,0.0002067496],"domain_scores_gemma":[0.9984151,0.0001535246,0.00006799566,0.0002063361,0.0004713557,0.0006857723],"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":[0.0002500161,0.0002198334,0.002529994,0.0002472547,0.000008576049,0.00033892,0.001164272,0.0001556879,0.001213489,0.06928754,0.6089953,0.3155892],"study_design_scores_gemma":[0.000006589057,0.00001154807,0.0003404852,0.00003231857,9.391442e-7,0.00006994607,0.0001484862,0.00003506048,0.0001323644,0.001371309,0.9978482,0.000002870398],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.006362433,0.001424888,0.001764565,0.002720265,0.002533234,0.0001472931,0.002186401,0.001162554,0.9816984],"genre_scores_gemma":[0.01221496,0.0006008011,0.0008863842,0.000569068,0.0005015197,0.0000866757,0.001267212,0.0003891884,0.9834842],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.48457,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3478833924398416,"score_gpt":0.453140394683738,"score_spread":0.1052570022438963,"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."}}