{"id":"W6989372349","doi":"","title":"Analyse de la profession, représentant en éclairage, en chauffage et en force motrice : contexte québécois, représentant technico-commercial en éclairage, en chauffage et en énergie motrice /","year":2015,"lang":"fr","type":"other","venue":"Bibliothèque et Archives nationales du Québec (Québec government)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Triazolam; Ophidia","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001697653,0.0003225875,0.0002926931,0.003490174,0.007167952,0.004700678,0.001013059,0.0009559618,0.02637666],"category_scores_gemma":[0.004542652,0.0002221292,0.0003325079,0.008161902,0.001947426,0.001650382,0.0019276,0.00134257,0.001645877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07419533,"about_ca_system_score_gemma":0.09064115,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9921736,"about_ca_topic_score_gemma":0.9950697,"domain_scores_codex":[0.9985056,0.0002391542,0.00004769901,0.0001209254,0.0005141172,0.000572521],"domain_scores_gemma":[0.9947166,0.0006478505,0.0004027518,0.0001131478,0.002712392,0.001407315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003166081,0.0002440406,0.3441103,0.001042885,0.00008291921,0.001158706,0.185785,0.0006704376,0.001475381,0.05370747,0.2280901,0.1833162],"study_design_scores_gemma":[0.00000965309,0.00002621598,0.6098115,0.0006057782,0.00001944845,0.000104065,0.1576014,0.0003184369,0.0002931341,0.0007306109,0.2304423,0.00003746906],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6511513,0.0139706,0.001268068,0.03449418,0.0004383773,0.0002467307,0.02108147,0.0001190591,0.2772304],"genre_scores_gemma":[0.8417229,0.00408663,0.0008479188,0.001640847,0.00008408249,0.000112728,0.004186888,0.00008349168,0.1472345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07419533,"threshold_uncertainty_score":0.5383273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0086102298403732,"score_gpt":0.2783301948648009,"score_spread":0.2697199650244277,"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."}}