{"id":"W2791359125","doi":"10.24900/ijss/0201115124.2018.0301","title":"Missing no Interaction—Using STPA for Identifying Hazardous Interactions of Automated Driving Systems","year":2018,"lang":"en","type":"article","venue":"International Journal of Safety Science","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Hazardous waste; Computer science; Engineering; Waste management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006651802,0.0001408202,0.0004077096,0.001754162,0.0005333833,0.0007901767,0.002142369,0.00004267259,0.0001623234],"category_scores_gemma":[0.008439856,0.000109597,0.0003474111,0.001389719,0.000622209,0.003165788,0.0002164345,0.0001932711,0.00004556081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004289309,"about_ca_system_score_gemma":0.0005608366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009414053,"about_ca_topic_score_gemma":0.00003106004,"domain_scores_codex":[0.9943791,0.0001323539,0.002004867,0.0003419571,0.00288042,0.0002612709],"domain_scores_gemma":[0.9838836,0.001486431,0.002485052,0.0003026502,0.01167699,0.0001652416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001659872,0.0005209713,0.01691813,0.00003338142,0.000969182,0.00007331695,0.006620946,0.1153336,0.7048011,0.005388672,0.003622508,0.1440583],"study_design_scores_gemma":[0.0006115905,0.0001578163,0.007689302,0.000638142,0.00007111865,0.0006147837,0.002980079,0.963363,0.008763864,0.003663399,0.01125073,0.000196179],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3534382,0.0001072102,0.6241794,0.001790572,0.01787923,0.0001573536,0.00002931751,0.00003951475,0.002379212],"genre_scores_gemma":[0.9816597,0.000030376,0.01719168,0.00004931631,0.0008568341,8.753521e-7,9.293272e-7,0.000009029943,0.00020127],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8480294,"threshold_uncertainty_score":0.9999125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1455185742474159,"score_gpt":0.4850441482099697,"score_spread":0.3395255739625538,"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."}}