{"id":"W4406718184","doi":"10.5151/2594-5327-2005-15065-0262","title":"UM MODELO BASEADO EM EVIDÊNCIAS PARA A PREVENÇÃO DA INCAPACIDADE DECORRENTE DOS ACIDENTES DE TRABALHO NA INDÚSTRIA: O MODELO DE SHERBROOKE","year":2007,"lang":"pt","type":"article","venue":"ABM Proceedings","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Psychology","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","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.00981126,0.001015035,0.00121395,0.0009060999,0.002291935,0.0002499854,0.001370736,0.001827676,0.0007664031],"category_scores_gemma":[0.002850706,0.001047338,0.0004545489,0.001728339,0.0002550742,0.001281026,0.0005831968,0.005021716,0.0008593678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003241673,"about_ca_system_score_gemma":0.005265703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001118711,"about_ca_topic_score_gemma":0.0006973316,"domain_scores_codex":[0.9883494,0.0003762255,0.002609048,0.001508614,0.002053764,0.005102976],"domain_scores_gemma":[0.9921405,0.002028492,0.0009299529,0.0005742622,0.001345046,0.002981787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01175486,0.00240293,0.7498053,0.01576408,0.0004984222,0.0001830906,0.07406597,0.0003711692,0.003138511,0.01508279,0.04303748,0.08389534],"study_design_scores_gemma":[0.01290071,0.002888127,0.4885663,0.01339316,0.0006313594,0.0003032132,0.03681055,0.4119648,0.003371508,0.01533624,0.0102041,0.00362993],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9604956,0.003761408,0.01884532,0.004921359,0.0009616137,0.005133346,0.0002910866,0.000387484,0.005202808],"genre_scores_gemma":[0.9834869,0.001138128,0.003951555,0.003153276,0.001514112,0.0007218031,0.0001119114,0.0002340636,0.005688266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4115936,"threshold_uncertainty_score":0.9999186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1118082622368341,"score_gpt":0.443978073118722,"score_spread":0.3321698108818879,"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."}}