{"id":"W4391059067","doi":"","title":"Modèle de migration à probabilité de transition endogène sur le marché du travail","year":2019,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Humanities; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004174453,0.001179164,0.003186502,0.001704984,0.001510157,0.004747096,0.00303877,0.00598194,0.02008775],"category_scores_gemma":[0.02313724,0.001634124,0.002081999,0.001841982,0.003613032,0.004719422,0.002241286,0.00560169,0.002083818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00404766,"about_ca_system_score_gemma":0.002055039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05785047,"about_ca_topic_score_gemma":0.02517696,"domain_scores_codex":[0.9987863,0.0005897541,0.00003688703,0.0002594278,0.00005885952,0.0002687936],"domain_scores_gemma":[0.9759855,0.02009535,0.001411386,0.0006981251,0.0007568608,0.0010528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005667572,0.0001239742,0.00658824,0.0001543205,0.0002113959,0.0004055519,0.0005197306,0.7762313,0.0005600455,0.2026762,0.005645229,0.006317335],"study_design_scores_gemma":[0.000107894,0.0000542053,0.001712727,0.00004007791,0.00006413942,0.00006969151,0.0001621202,0.9434174,0.00008355041,0.05316891,0.001075736,0.00004353932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6818717,0.002896194,0.2609564,0.02103722,0.000709572,0.0001729876,0.003653093,0.001059277,0.02764361],"genre_scores_gemma":[0.9381864,0.001165034,0.005690903,0.0003675891,0.0003210892,0.0001585466,0.0006801223,0.0001727057,0.05325767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05785047,"threshold_uncertainty_score":0.1150275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02038063978595136,"score_gpt":0.192257662357948,"score_spread":0.1718770225719966,"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."}}