{"id":"W2727871272","doi":"10.1016/j.shaw.2017.06.008","title":"Human Error Probability Assessment During Maintenance Activities of Marine Systems","year":2017,"lang":"en","type":"article","venue":"Safety and Health at Work","topic":"Marine and Coastal Research","field":"Engineering","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Australian Research Council; Memorial University of Newfoundland; University of Tasmania","keywords":"Human error; Environmental science; Computer science; Risk analysis (engineering); Business","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049011,0.00009654227,0.0002491342,0.00002637154,0.0004639846,0.00003346907,0.0001320306,0.00003987096,0.00005294652],"category_scores_gemma":[0.00001168278,0.00008769658,0.00002835406,0.00003640864,0.00008305189,0.0000890272,0.0003128381,0.0001851447,0.000001701955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001916547,"about_ca_system_score_gemma":0.00004323695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001142864,"about_ca_topic_score_gemma":0.001178699,"domain_scores_codex":[0.9990956,0.00002744412,0.0002535003,0.0001429591,0.0001576718,0.0003228181],"domain_scores_gemma":[0.9993719,0.00001682399,0.00008275309,0.0003828885,0.0000229648,0.000122668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003555952,0.0001606513,0.8841136,0.02034025,0.0001303764,0.00001914722,0.0006304027,0.003602895,0.000461806,0.02375383,0.001494544,0.06493697],"study_design_scores_gemma":[0.0003870006,0.00006115784,0.9951911,0.0002520524,0.000002227512,0.000002776535,0.00009070459,0.0006346525,0.00003448235,0.0002929095,0.002951199,0.0000997216],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9406857,0.0002511439,0.0001381804,0.0008587402,0.0001781159,0.0005170866,0.00001433913,0.00006822804,0.05728845],"genre_scores_gemma":[0.9948713,0.0003839204,0.0001526638,0.00000702733,0.00005540418,0.00002635383,0.000004361916,0.00001203708,0.004486972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1110776,"threshold_uncertainty_score":0.3576163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04194935641868691,"score_gpt":0.336254140215429,"score_spread":0.2943047837967421,"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."}}