{"id":"W2156286759","doi":"10.7202/1023769ar","title":"Mobilités de formation et ancrage des étudiants dans les villes universitaires : exemple de la Bretagne (France)","year":2014,"lang":"fr","type":"article","venue":"Enfances Familles Générations","topic":"Education, sociology, and vocational training","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002494777,0.0002907138,0.0004132389,0.002472209,0.004271233,0.003298292,0.0008203138,0.001027063,0.005960747],"category_scores_gemma":[0.003767371,0.0002387513,0.0003228438,0.003805459,0.001717604,0.001600907,0.002610378,0.0008616701,0.0005251384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007444475,"about_ca_system_score_gemma":0.003132059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2746958,"about_ca_topic_score_gemma":0.3964972,"domain_scores_codex":[0.9976475,0.001240486,0.00007387326,0.0002422828,0.000214829,0.0005810732],"domain_scores_gemma":[0.9971972,0.001295385,0.0005083694,0.0001198321,0.0004394298,0.0004398845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002251545,0.0001595576,0.3397756,0.0002138285,0.0000628336,0.001251719,0.5787587,0.0008688034,0.001662926,0.01936908,0.002172147,0.05547967],"study_design_scores_gemma":[0.00001140439,0.0001404041,0.6121414,0.0001580284,0.00002908637,0.0002932329,0.3551452,0.0005299291,0.0004479395,0.0007359933,0.03032605,0.0000413534],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934896,0.0004552162,0.0007653089,0.0005104327,0.00000802887,0.00002845087,0.0002007264,0.00001201682,0.004530169],"genre_scores_gemma":[0.9928117,0.0002814207,0.0007121739,0.00007726945,0.000007783438,0.00004252847,0.0001185846,0.000008221749,0.005940211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2746958,"threshold_uncertainty_score":0.5461937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07769785150950934,"score_gpt":0.3992010693809934,"score_spread":0.3215032178714841,"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."}}