{"id":"W4379961431","doi":"","title":"Le nombre et la part des immigrés dans la population : comparaisons internationales","year":2010,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001616537,0.0003477545,0.0004386072,0.002651448,0.0005450459,0.001656355,0.0004553404,0.0004929206,0.003990849],"category_scores_gemma":[0.002983582,0.0002043851,0.0007334918,0.003282229,0.0006460164,0.001425964,0.0009575845,0.0006040484,0.0004661128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005879822,"about_ca_system_score_gemma":0.0004455315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02590415,"about_ca_topic_score_gemma":0.02368564,"domain_scores_codex":[0.9992349,0.0002463563,0.0000663684,0.0001811614,0.00011844,0.0001528161],"domain_scores_gemma":[0.998006,0.000575599,0.0005546738,0.00007930826,0.0004202956,0.0003640843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004726427,0.00007353939,0.9709749,0.0002288504,0.0003354563,0.0001736886,0.003344809,0.0002642481,0.0002321609,0.001680725,0.00157263,0.02064638],"study_design_scores_gemma":[0.000008055634,0.00009655423,0.9924305,0.00006912355,0.00005503205,0.0002433253,0.003135608,0.0001070262,0.00003974773,0.0001610631,0.003645113,0.000008842853],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822567,0.007353671,0.0002341852,0.0004609215,0.00006897868,0.00001322963,0.002234784,0.00001378879,0.007363833],"genre_scores_gemma":[0.9890701,0.005770083,0.0002282378,0.0001147801,0.0001034091,0.00002761972,0.002475274,0.00002385496,0.00218673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02590415,"threshold_uncertainty_score":0.05150676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05842243627526023,"score_gpt":0.3446742545680157,"score_spread":0.2862518182927555,"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."}}