{"id":"W4394732566","doi":"10.62212/revuepossibles.v43i1.153","title":"Migration et immigration","year":2019,"lang":"fr","type":"article","venue":"Revue Possibles","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Political science; Geography; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005872158,0.0002546152,0.0002767618,0.000104125,0.0002487785,0.000267552,0.0002298078,0.0003190312,0.001316506],"category_scores_gemma":[0.0001358638,0.0002603883,0.0001807718,0.0003433578,0.0003390787,0.001086795,0.00003520684,0.0002107099,0.003303324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009370741,"about_ca_system_score_gemma":0.0006219556,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01616744,"about_ca_topic_score_gemma":0.03541062,"domain_scores_codex":[0.997679,0.0005099956,0.0004740812,0.0004312911,0.0003852925,0.0005203396],"domain_scores_gemma":[0.9987245,0.0001832477,0.0002703382,0.0003341528,0.0003082996,0.0001794438],"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":[0.00001965151,0.0002628653,0.1537506,0.0005362392,0.0001120379,0.000005754227,0.2073898,0.0009091245,0.003637582,0.5632353,0.06355114,0.00658986],"study_design_scores_gemma":[0.0003916146,0.00008975,0.06100869,0.0003619159,0.00009419754,0.00001354287,0.02283667,0.004301685,0.001237678,0.00116135,0.9079232,0.0005796783],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8831677,0.004990357,0.0001546301,0.08659463,0.003605285,0.0006597548,0.00009550158,0.0001063337,0.02062585],"genre_scores_gemma":[0.719156,0.003537464,0.000859659,0.003558039,0.001130533,0.00001924261,0.0002387924,0.00002634761,0.271474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8443721,"threshold_uncertainty_score":0.9999849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1080093166963133,"score_gpt":0.395465037372925,"score_spread":0.2874557206766117,"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."}}