{"id":"W7011123572","doi":"","title":"Les déterminants organisationnels et individuels de l'emploi atypique: le cas du cumul d'emplois et du travail autonome","year":2004,"lang":"fr","type":"article","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work environment; Statistical analysis; Temporary work","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.001468882,0.0003920477,0.0006326392,0.0001991082,0.001960253,0.0002067904,0.001096172,0.000329136,0.0003878938],"category_scores_gemma":[0.0002187472,0.0004795679,0.0001783851,0.0003860057,0.001638894,0.001822305,0.000477618,0.0003394092,0.00003390142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001312382,"about_ca_system_score_gemma":0.001500299,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6371321,"about_ca_topic_score_gemma":0.4578299,"domain_scores_codex":[0.9963803,0.0009323563,0.0006134371,0.0009928657,0.0005465423,0.0005345456],"domain_scores_gemma":[0.9971695,0.0004190864,0.0007097192,0.0009958319,0.0002862556,0.0004196327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006768983,0.00694946,0.6201788,0.001126546,0.004431775,0.003735167,0.1075667,0.005475779,0.001218194,0.07340991,0.03762976,0.137601],"study_design_scores_gemma":[0.005797244,0.0004353637,0.58759,0.0006852137,0.002263351,0.0002273859,0.02618999,0.0007285443,0.00062638,0.003587461,0.3703374,0.001531702],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710644,0.002737668,0.003115631,0.01544737,0.0003978674,0.000532969,0.0009406856,0.0001097973,0.005653568],"genre_scores_gemma":[0.9843135,0.0081782,0.0005205572,0.0002573518,0.0001968378,0.000002169888,0.0003881338,0.00002782221,0.006115383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3327076,"threshold_uncertainty_score":0.9997656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01974993619703164,"score_gpt":0.2736439977786917,"score_spread":0.2538940615816601,"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."}}