{"id":"W4388448629","doi":"10.21203/rs.3.rs-3508934/v1","title":"Enhanced Multi-Stage Guided-Attention Mechanism for Traffic Accident-Based Patient Safety Prediction Model","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Mechanism (biology); Stage (stratigraphy); Accident (philosophy); Traffic accident; Computer science; Forensic engineering; Engineering; Geology; Physics","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":[0.001107725,0.0007234325,0.001159132,0.0007071829,0.0005464811,0.0007802054,0.002189481,0.001512554,0.003598216],"category_scores_gemma":[0.002150635,0.0004035785,0.000845859,0.000486859,0.0002759994,0.0009009591,0.000991071,0.001055007,0.0005280997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007613359,"about_ca_system_score_gemma":0.00155326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02278739,"about_ca_topic_score_gemma":0.01470746,"domain_scores_codex":[0.9995803,0.0000655667,0.00002868142,0.0001520107,0.00007890667,0.00009447765],"domain_scores_gemma":[0.9992813,0.000267717,0.00005643704,0.00005794841,0.0002849968,0.00005164385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007981572,0.0006432251,0.006099346,0.00014602,0.0002092532,0.0002018504,0.0001467267,0.7227615,0.006453748,0.003512828,0.004295005,0.2547323],"study_design_scores_gemma":[0.000007072834,0.0000276981,0.0004022696,0.000003011684,0.00001657362,0.000009864015,0.000002431338,0.9987075,0.0003526953,0.0003898492,0.00007702412,0.000004048539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1382902,0.00100393,0.8530553,0.0006409358,0.0002597872,0.0001902542,0.0004698591,0.002891281,0.003198388],"genre_scores_gemma":[0.9700775,0.0001550926,0.02658002,0.0001393502,0.00007667797,0.000137559,0.0002424061,0.00002960657,0.002561859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02278739,"threshold_uncertainty_score":0.04530948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3649925143011,"score_gpt":0.5646102564538401,"score_spread":0.1996177421527401,"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."}}