{"id":"W1844934332","doi":"10.7202/001299ar","title":"Typologie séquentielle de la mobilité et analyse causale","year":2002,"lang":"fr","type":"article","venue":"Sociologie et sociétés","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; 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":[0.007103121,0.001612168,0.001477156,0.00997477,0.001950797,0.008624081,0.001225475,0.002838873,0.0256399],"category_scores_gemma":[0.02717952,0.001157843,0.003600788,0.009439209,0.00475208,0.009333365,0.001965123,0.004253052,0.003495982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003666742,"about_ca_system_score_gemma":0.003603297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0191938,"about_ca_topic_score_gemma":0.01150808,"domain_scores_codex":[0.9932063,0.0032596,0.0006079293,0.001194495,0.001384544,0.0003471485],"domain_scores_gemma":[0.9731082,0.01946281,0.001591215,0.003580974,0.00195317,0.0003036371],"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":[0.00007669464,0.00005370144,0.009493547,0.0004148201,0.0002127505,0.000442496,0.001700099,0.01251315,0.001134046,0.913834,0.002418821,0.05770582],"study_design_scores_gemma":[0.00005946256,0.00006990143,0.008960128,0.0004210662,0.0001215723,0.0009398417,0.001257928,0.0399386,0.001946539,0.8516426,0.09453505,0.0001072637],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0312649,0.003661851,0.9046071,0.0031751,0.0002243205,0.0003435625,0.004425854,0.001333944,0.05096339],"genre_scores_gemma":[0.3821564,0.008222131,0.5668166,0.0007483729,0.0006220908,0.002630453,0.006208873,0.0005566861,0.03203843],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0256399,"threshold_uncertainty_score":0.085774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3472432372590734,"score_gpt":0.432835190489649,"score_spread":0.08559195323057567,"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."}}