{"id":"W7033161637","doi":"","title":"Portrait de la santé et de la sécurité agricole au Québec : le cas des éleveurs de porcs","year":2023,"lang":"fr","type":"article","venue":"","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Context (archaeology); Working population; Parental leave","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":[0.0005885664,0.0001899181,0.0001872528,0.001168287,0.005012091,0.001851985,0.0005837637,0.0004836789,0.006599215],"category_scores_gemma":[0.0008115055,0.0001486501,0.0001700019,0.002457751,0.002186134,0.000669345,0.0008415771,0.001204549,0.0003024401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03211338,"about_ca_system_score_gemma":0.03408997,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9875895,"about_ca_topic_score_gemma":0.9961656,"domain_scores_codex":[0.9994838,0.00008651971,0.00001071067,0.00005953943,0.0001297845,0.0002296274],"domain_scores_gemma":[0.9988686,0.0001134492,0.0001099631,0.00003022485,0.0005497251,0.0003280944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000152029,0.00008981526,0.6143924,0.0005527301,0.00007971311,0.001862937,0.1794991,0.001499008,0.003261843,0.05891076,0.03088368,0.108816],"study_design_scores_gemma":[0.000005327993,0.0000483597,0.7717918,0.0003659115,0.00002866469,0.0002478295,0.09310894,0.0006633464,0.0002607431,0.0008067357,0.1326342,0.00003812034],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8399495,0.005793714,0.00135517,0.02004512,0.00009918622,0.00006744982,0.00215614,0.00004017465,0.1304934],"genre_scores_gemma":[0.9683849,0.002950265,0.0004495441,0.0009054613,0.00001324089,0.00002621974,0.00036284,0.00001144257,0.02689607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03211338,"threshold_uncertainty_score":0.2329999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02181650088146836,"score_gpt":0.316653890575802,"score_spread":0.2948373896943336,"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."}}