{"id":"W2314771525","doi":"10.7202/1027054ar","title":"Présentation du numéro","year":2013,"lang":"fr","type":"article","venue":"Revue multidisciplinaire sur l emploi le syndicalisme et le travail","topic":"Society, Economy, and Ethics Research","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.00370375,0.000614882,0.0008710542,0.0001951801,0.002207516,0.0007713367,0.001095266,0.00114549,0.002828758],"category_scores_gemma":[0.001026688,0.0007098356,0.0007159676,0.001110079,0.003351108,0.002107569,0.0003959851,0.001669916,0.004329623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004997935,"about_ca_system_score_gemma":0.002251788,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07145534,"about_ca_topic_score_gemma":0.01554416,"domain_scores_codex":[0.9927039,0.002012018,0.00116121,0.001270037,0.001097904,0.001754956],"domain_scores_gemma":[0.9956347,0.001425554,0.0004244717,0.000749679,0.0006870594,0.001078529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00005983866,0.004066592,0.07291193,0.002071248,0.0007197375,0.0001739067,0.3200689,0.0005128209,0.0005980321,0.09022531,0.3948383,0.1137534],"study_design_scores_gemma":[0.005160025,0.0004060731,0.473156,0.001332431,0.0001884665,0.00009543608,0.1067139,0.01209398,0.0003040667,0.02154246,0.3761391,0.002868075],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5373648,0.005750286,0.001162833,0.4191881,0.01225831,0.001948071,0.00007737551,0.0003663842,0.02188384],"genre_scores_gemma":[0.9303795,0.005699125,0.0009781638,0.0006743161,0.007383957,0.0004062026,0.0001045453,0.0001618533,0.05421237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4185138,"threshold_uncertainty_score":0.9995353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04781982286676235,"score_gpt":0.3270403919425834,"score_spread":0.279220569075821,"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."}}