{"id":"W4391059071","doi":"","title":"Modèles de migration à probabilité de transition endogène sur le marché du travail : le cas de la Guadeloupe","year":2019,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Migration, Identity, and Health","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Humanities; Political science; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01337024,0.0002564092,0.0003206664,0.0001460235,0.001182979,0.0004759876,0.0006567272,0.0003803963,0.0003238232],"category_scores_gemma":[0.001000483,0.0002949949,0.0002146344,0.0006535372,0.0007232479,0.0007078017,0.00007860004,0.0004256094,0.00008625576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007733304,"about_ca_system_score_gemma":0.002768114,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2038237,"about_ca_topic_score_gemma":0.3276253,"domain_scores_codex":[0.9853922,0.01226895,0.0005558266,0.0005586979,0.0004975328,0.0007268367],"domain_scores_gemma":[0.9960399,0.001395643,0.000307395,0.0007469649,0.001153064,0.0003570158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00005265843,0.002342557,0.1004709,0.0007032557,0.00006750483,0.000007386609,0.3600929,0.0007091954,0.01474347,0.4877308,0.005295432,0.02778384],"study_design_scores_gemma":[0.003885818,0.00001326713,0.5190874,0.002295528,0.0002282891,0.0001268324,0.01694012,0.1727802,0.04211796,0.0837067,0.15727,0.001547924],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8455328,0.00361593,0.05200329,0.07774038,0.000217815,0.0006957967,0.00004414401,0.0001476138,0.0200022],"genre_scores_gemma":[0.957382,0.008583479,0.01125273,0.0002658705,0.0001116673,0.00006007707,0.0001404647,0.00003932803,0.02216437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4186165,"threshold_uncertainty_score":0.9999502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01753212675092988,"score_gpt":0.2470757187027681,"score_spread":0.2295435919518383,"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."}}