{"id":"W7112486257","doi":"","title":"Effects of Automated Diagnostic Tools on Human Performance during Failure Management","year":2025,"lang":"en","type":"other","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Institut de Valorisation des Données","keywords":"Medical evacuation; Carbon stock; Paper production","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002340798,0.0009220471,0.0003350063,0.001064019,0.0003641083,0.001147235,0.000629329,0.0007478758,0.003540538],"category_scores_gemma":[0.03021685,0.0002536415,0.000272659,0.0003982072,0.0004749568,0.0008330572,0.0006988465,0.0004435211,0.0006258102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006472694,"about_ca_system_score_gemma":0.0006304711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002452847,"about_ca_topic_score_gemma":0.001576755,"domain_scores_codex":[0.9978085,0.001153278,0.0001751283,0.0002282473,0.0005049762,0.0001299846],"domain_scores_gemma":[0.955369,0.03500893,0.003811392,0.001436706,0.003688724,0.0006852119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01112698,0.002737754,0.1280155,0.001788989,0.0003022984,0.0005798167,0.003329018,0.07255723,0.05692041,0.001154926,0.004593642,0.7168934],"study_design_scores_gemma":[0.0009782874,0.02796584,0.5734869,0.0008816859,0.0007557083,0.00131908,0.004319783,0.2843303,0.0866867,0.004990541,0.01379027,0.0004948145],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821205,0.0006778595,0.01202093,0.0003185665,0.0001090437,0.0001265332,0.0002119253,0.0007778055,0.003636865],"genre_scores_gemma":[0.9948902,0.0001344803,0.004075382,0.00005479579,0.00002402356,0.00004912673,0.00009098975,0.00001828256,0.0006625724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003540538,"threshold_uncertainty_score":0.01237947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006438116665245154,"score_gpt":0.2333065347985215,"score_spread":0.2268684181332764,"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."}}