{"id":"W2891941253","doi":"10.7202/1050947ar","title":"Immigration et intégration linguistique : vers un indicateur de réceptivité sociale","year":2016,"lang":"fr","type":"article","venue":"Diversité urbaine","topic":"Linguistic and Sociocultural Studies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Immigration; Sociology; Political science; Humanities; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002616338,0.0004296754,0.0004768303,0.001604429,0.002345414,0.004583481,0.0004825945,0.0009412456,0.004944374],"category_scores_gemma":[0.007995691,0.0001773644,0.0004473184,0.002829954,0.003709021,0.002199724,0.002648909,0.001638238,0.0003298425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002341904,"about_ca_system_score_gemma":0.00310281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07562926,"about_ca_topic_score_gemma":0.04915837,"domain_scores_codex":[0.9978572,0.00132717,0.00008211639,0.0001317541,0.0002552235,0.000346574],"domain_scores_gemma":[0.995734,0.002557156,0.0006410388,0.0001199059,0.0004041741,0.0005437696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007483118,0.0004440005,0.736865,0.000228398,0.0002226302,0.001224355,0.1724899,0.0004562829,0.003176209,0.03659039,0.000712887,0.04684163],"study_design_scores_gemma":[0.00002057121,0.000211901,0.8623849,0.0003649208,0.0001099656,0.0004445293,0.1240055,0.0006828133,0.0006470088,0.002220294,0.008860116,0.00004763735],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865806,0.001483957,0.0002849189,0.001568297,0.00004951063,0.000005579841,0.00004360885,0.000006357373,0.009977227],"genre_scores_gemma":[0.9980215,0.0004627513,0.0001244457,0.00006071662,0.00002619078,0.00000773098,0.00001525737,0.000004670194,0.001276873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07562926,"threshold_uncertainty_score":0.1503781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.014875915794014,"score_gpt":0.2708602080714206,"score_spread":0.2559842922774067,"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."}}