{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007074443,0.0002037684,0.0002285848,0.00004666824,0.001004556,0.00005987603,0.0002146889,0.0002770019,0.0004896629],"category_scores_gemma":[0.001292241,0.0001624119,0.000152096,0.0002974514,0.0007185426,0.0002521674,0.0001238575,0.0001666161,0.0003159815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000788208,"about_ca_system_score_gemma":0.0002355619,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008487097,"about_ca_topic_score_gemma":0.002722555,"domain_scores_codex":[0.9982474,0.0004046488,0.0002145594,0.0003033075,0.0003670565,0.0004629797],"domain_scores_gemma":[0.9989076,0.0003030602,0.0002021577,0.0001009934,0.0003280419,0.0001581361],"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":[0.00006212047,0.0002145196,0.08396101,0.00003230427,0.0003238232,0.00005521077,0.27648,0.000003201443,0.0006446265,0.5166261,0.02029548,0.1013017],"study_design_scores_gemma":[0.001919163,0.0002822178,0.228892,0.0002707862,0.0004251612,0.000002451254,0.02603633,0.00003649364,0.0009256479,0.02883301,0.7114656,0.0009111501],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8615702,0.003837801,0.004607335,0.09240731,0.003454254,0.0004460111,0.0001929654,0.000213484,0.03327064],"genre_scores_gemma":[0.9594591,0.003235417,0.00035687,0.0007225851,0.001580095,0.000007768245,0.00002139739,0.00001236669,0.03460437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6911702,"threshold_uncertainty_score":0.9981155,"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."}}