{"id":"W4404919254","doi":"10.24840/978-989-54863-5-9_0046-0056","title":"AVALIAÇÃO DE ACIDENTE MORTAL COM TRATOR AGRÍCOLA ATRAVÉS DA ÁRVORE DAS CAUSAS E ELABORAÇÃO DE PROCEDIMENTOS DE BOAS PRÁTICAS","year":2024,"lang":"pt","type":"article","venue":"","topic":"Burn Injury Management and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007892716,0.0005913529,0.0009620847,0.001055658,0.0007937401,0.001497828,0.0004366983,0.0007347993,0.002377538],"category_scores_gemma":[0.001152592,0.0002483245,0.0008889604,0.0009754792,0.0004364446,0.0005352147,0.0005814363,0.0005208793,0.0004768753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009668579,"about_ca_system_score_gemma":0.001000576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008749779,"about_ca_topic_score_gemma":0.01515927,"domain_scores_codex":[0.9990614,0.0001489663,0.0000582445,0.0002315886,0.0003501105,0.0001496959],"domain_scores_gemma":[0.9988476,0.0001964576,0.0003864901,0.00004865042,0.0004236303,0.00009709621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005105624,0.001247605,0.5961496,0.002383975,0.0003250103,0.0014908,0.003031386,0.002097424,0.2765861,0.0005208138,0.001001471,0.1100601],"study_design_scores_gemma":[0.00004598483,0.01369187,0.8783919,0.0003867704,0.0005950304,0.00111881,0.007640345,0.002339043,0.07947329,0.0006197448,0.01557673,0.0001204401],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911809,0.002509168,0.001998938,0.000154355,0.00004009478,0.0001521012,0.0008128941,0.00004203588,0.003109579],"genre_scores_gemma":[0.9826339,0.00346737,0.00417007,0.0001794041,0.0000390621,0.0002144268,0.0009921624,0.00002053577,0.008283124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008749779,"threshold_uncertainty_score":0.0173977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02831296406487795,"score_gpt":0.3524547655396738,"score_spread":0.3241418014747958,"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."}}