{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009082565,0.001868326,0.001595245,0.0035472,0.001125722,0.005126603,0.003604451,0.003100176,0.01411188],"category_scores_gemma":[0.02042003,0.0009192707,0.004838558,0.002964428,0.001929903,0.002995199,0.0019946,0.001968228,0.001842998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005588362,"about_ca_system_score_gemma":0.01019475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06478058,"about_ca_topic_score_gemma":0.04834117,"domain_scores_codex":[0.9963807,0.001957607,0.0001828393,0.0006271249,0.0005634967,0.0002882925],"domain_scores_gemma":[0.9846523,0.01148324,0.001302997,0.0004287188,0.001639146,0.0004935206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006048166,0.002776847,0.1795204,0.01259803,0.004811296,0.001845138,0.01175309,0.2841279,0.007182635,0.2194492,0.02270995,0.2471774],"study_design_scores_gemma":[0.002370019,0.007470161,0.08331747,0.005870732,0.00822039,0.001370975,0.01203346,0.6267889,0.003902712,0.1517551,0.09616618,0.0007338929],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4878949,0.02173857,0.364782,0.01696432,0.001535615,0.0077944,0.0121455,0.001087217,0.08605754],"genre_scores_gemma":[0.8769146,0.00877398,0.0795784,0.001073586,0.00009150534,0.00386145,0.001343887,0.0001355716,0.028227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06478058,"threshold_uncertainty_score":0.1288071,"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."}}