{"id":"W2154828376","doi":"10.7202/012686ar","title":"« Carrière brisée », « carrière de l’immigrant »","year":2006,"lang":"fr","type":"article","venue":"Les Cahiers du Gres","topic":"Migration, Identity, and Health","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0007744874,0.0002829373,0.0003694286,0.0001363187,0.002200538,0.0002319065,0.0003959397,0.0005661173,0.000606948],"category_scores_gemma":[0.0001050291,0.0003132714,0.0002531123,0.0005502423,0.001658086,0.0003712042,0.00003317642,0.0004714924,0.0001809195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007524012,"about_ca_system_score_gemma":0.0004703141,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.444294,"about_ca_topic_score_gemma":0.5183643,"domain_scores_codex":[0.997103,0.0004382713,0.0004620494,0.0004370166,0.0005913737,0.0009683333],"domain_scores_gemma":[0.9988656,0.0001343719,0.0002155378,0.0002779719,0.0001746412,0.0003318951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002071559,0.0001360613,0.4726143,0.0002555093,0.0000445972,0.00009213743,0.04926762,0.0001223166,0.00006417708,0.3393984,0.1336464,0.004337729],"study_design_scores_gemma":[0.0006462219,0.0001196331,0.3491592,0.0001535885,0.0002197216,0.00004074227,0.02999942,0.0002817093,0.0001608343,0.06873888,0.5497553,0.0007247296],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9335421,0.0290832,0.0004107508,0.01564792,0.002513638,0.0003177407,0.0001006938,0.0001291775,0.01825472],"genre_scores_gemma":[0.9338849,0.007381035,0.0004208715,0.0007127619,0.004534349,0.00001759405,0.00003599388,0.00003570426,0.05297684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4161089,"threshold_uncertainty_score":0.9999319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01028035374306575,"score_gpt":0.2573572933359504,"score_spread":0.2470769395928846,"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."}}