{"id":"W2616172004","doi":"10.4000/interventionseconomiques.3526","title":"The Great Recession and New U.S. Automobile Employment Norms: Financial Rationale in the ‘Employment Grey Zone’","year":2017,"lang":"fr","type":"article","venue":"Interventions économiques","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002351718,0.0003744814,0.0004392215,0.0001163226,0.005666516,0.0005680442,0.0008758167,0.0002903584,0.0006865038],"category_scores_gemma":[0.0008071221,0.0002418103,0.0003723394,0.00008232795,0.000653512,0.000788577,0.0007599046,0.0007917467,0.000189901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003867399,"about_ca_system_score_gemma":0.000359351,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01770185,"about_ca_topic_score_gemma":0.1441768,"domain_scores_codex":[0.9963815,0.001024366,0.001223659,0.0005014747,0.0001868415,0.000682219],"domain_scores_gemma":[0.9969751,0.0009850803,0.000754739,0.0009725696,0.0001633079,0.0001491786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001605996,0.0005007116,0.1543295,0.0003536338,0.0001788327,0.00001947917,0.01171929,0.000006109571,0.000006528527,0.07265859,0.4562958,0.3037709],"study_design_scores_gemma":[0.001160644,0.0003912432,0.3567177,0.003062543,0.00009555674,0.000005220559,0.001885574,0.00004821657,0.00002732605,0.01941751,0.6169235,0.0002649167],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5026308,0.04818984,0.000623283,0.4296819,0.006602896,0.003918468,0.0001601558,0.0001122741,0.008080393],"genre_scores_gemma":[0.6129157,0.03801853,0.0004616506,0.002572919,0.003035377,0.002401722,0.0000811639,0.00009044084,0.3404225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.427109,"threshold_uncertainty_score":0.995628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1391012050648239,"score_gpt":0.4157553468293617,"score_spread":0.2766541417645377,"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."}}