{"id":"W2098368315","doi":"10.7202/008510ar","title":"Trajectoires de niveau de vie des ménages et trajectoires de mobilité professionnelle : les écarts entre pays vont-ils dans le même sens ?","year":2004,"lang":"fr","type":"article","venue":"Sociologie et sociétés","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Sociology; 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":[0.001865768,0.0002065313,0.0003663417,0.002125955,0.001124081,0.00280528,0.0006433348,0.000811898,0.01227296],"category_scores_gemma":[0.006462051,0.0002375882,0.0004867318,0.002277272,0.002771351,0.002906848,0.00172659,0.0007305956,0.0006416512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00174144,"about_ca_system_score_gemma":0.001390682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02787597,"about_ca_topic_score_gemma":0.0336924,"domain_scores_codex":[0.9990971,0.0003684212,0.00003691603,0.0002172838,0.0001241499,0.0001561512],"domain_scores_gemma":[0.9973476,0.001244886,0.0005831354,0.0002178777,0.0003363153,0.0002700757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005010844,0.0001116858,0.4632619,0.0004764026,0.0003224273,0.0003689508,0.0883301,0.002552945,0.00198313,0.316925,0.001187269,0.1239791],"study_design_scores_gemma":[0.00001409098,0.0001596849,0.8662469,0.0003657582,0.00007986376,0.0002210731,0.06895823,0.001124303,0.0004645708,0.03718033,0.02513296,0.00005219682],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9333777,0.005737237,0.005270531,0.002923358,0.00005924715,0.00001864453,0.000448506,0.00002662245,0.0521382],"genre_scores_gemma":[0.9939293,0.001040583,0.001009892,0.00005955274,0.00001607718,0.00002303327,0.0001020966,0.00001173421,0.003807788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02787597,"threshold_uncertainty_score":0.05542743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3625231007866717,"score_gpt":0.4979372027490854,"score_spread":0.1354141019624137,"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."}}