{"id":"W4399819470","doi":"10.1515/9782760520103-009","title":"Le Modèle D’Intégration Français Face à La Diversité","year":2009,"lang":"fr","type":"book-chapter","venue":"Presses de l'Université du Québec eBooks","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Mod; Computer science; Artificial intelligence","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":[0.002015063,0.0007528365,0.0004997244,0.001168707,0.01047753,0.01408509,0.001271119,0.003648791,0.01386667],"category_scores_gemma":[0.001935431,0.0004773762,0.0006569909,0.002156898,0.01088519,0.00571524,0.003078737,0.004591601,0.001183843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03994763,"about_ca_system_score_gemma":0.03009167,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6839519,"about_ca_topic_score_gemma":0.6274561,"domain_scores_codex":[0.998162,0.0006253316,0.00002381411,0.0002012945,0.0003607944,0.0006268608],"domain_scores_gemma":[0.9990957,0.0001963597,0.00005584112,0.00009629259,0.0002875498,0.0002682727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000187114,0.00002017409,0.0007408674,0.00001062552,0.000009820258,0.000128456,0.005719084,0.0006213117,0.00008700776,0.9803048,0.004923324,0.007415842],"study_design_scores_gemma":[0.00007310219,0.00005728785,0.008422188,0.0002945428,0.00004116608,0.0004002067,0.02213353,0.004141419,0.0002306361,0.3323644,0.6317756,0.00006589781],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07678234,0.003148748,0.007997355,0.03907551,0.000431194,0.00003921263,0.0001355338,0.00006680485,0.8723232],"genre_scores_gemma":[0.7844183,0.001674616,0.002609537,0.001645234,0.0001170761,0.00007025259,0.00009110333,0.00005889719,0.2093149],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6839519,"threshold_uncertainty_score":0.6358187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04098633030122251,"score_gpt":0.2482598355151536,"score_spread":0.2072735052139311,"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."}}