{"id":"W1502545557","doi":"10.4000/hommesmigrations.2991","title":"Populations d'origine sud-asiatique à Paris et en Ile-de-France","year":2014,"lang":"fr","type":"article","venue":"Hommes & migrations","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Political science; Art","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":[0.0005016032,0.0002752222,0.0001978577,0.001024325,0.003185913,0.001558478,0.0002427968,0.0002706283,0.009030046],"category_scores_gemma":[0.0007794459,0.00009011903,0.0001757902,0.001079486,0.001477304,0.0005514047,0.001114669,0.0004161883,0.0004885261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002315909,"about_ca_system_score_gemma":0.00145296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07127444,"about_ca_topic_score_gemma":0.1511266,"domain_scores_codex":[0.9996558,0.00009603184,0.00001060047,0.00007407841,0.00003586802,0.0001275408],"domain_scores_gemma":[0.9994282,0.0001448813,0.0001849744,0.00003616765,0.00009526318,0.0001103467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003274686,0.0002198485,0.5371259,0.0003078983,0.0001613588,0.003662635,0.1629584,0.001240692,0.005082108,0.07861225,0.008152586,0.2021489],"study_design_scores_gemma":[0.00002297219,0.00022676,0.7916754,0.0002342337,0.00003647137,0.0009998026,0.06143335,0.0001737827,0.0008238195,0.003088048,0.1412459,0.00003945813],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9549491,0.001373245,0.0005077694,0.0009984499,0.00006203975,0.00001491676,0.0002103916,0.00002229235,0.04186175],"genre_scores_gemma":[0.9771976,0.0008576917,0.0003597916,0.0001815194,0.00002226034,0.00001769475,0.00008552041,0.000004431596,0.02127342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07127444,"threshold_uncertainty_score":0.1417191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0702847832139875,"score_gpt":0.3914734054587299,"score_spread":0.3211886222447424,"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."}}