{"id":"W2889337127","doi":"10.1016/j.ergon.2018.08.003","title":"How does load and impulse influence the success of jettisoning a simulated S-92 push-out window?","year":2018,"lang":"en","type":"article","venue":"International Journal of Industrial Ergonomics","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Impulse (physics); Elbow; Elbow flexion; Window (computing); Engineering; Underwater; Simulation; Sliding window protocol; Task (project management); Structural engineering; Marine engineering; Computer science; Geology; Biology; Physics; Anatomy","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":[0.001004934,0.0003661706,0.000497223,0.0004366762,0.0004394561,0.002060903,0.0005349085,0.001183724,0.004512902],"category_scores_gemma":[0.01070565,0.0002533041,0.0003254839,0.0002212246,0.0005755764,0.0005962515,0.0007303217,0.0006902428,0.0009611273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003601311,"about_ca_system_score_gemma":0.0006944389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006814647,"about_ca_topic_score_gemma":0.008220054,"domain_scores_codex":[0.9992787,0.0001850858,0.00003552316,0.0001015772,0.0001649664,0.0002341461],"domain_scores_gemma":[0.9935938,0.003381223,0.000916112,0.0001719463,0.0004032971,0.001533766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0154211,0.006553859,0.8856622,0.0001742005,0.0004875464,0.0009697357,0.003403005,0.007964124,0.05633876,0.0003141884,0.000740353,0.02197091],"study_design_scores_gemma":[0.00008757862,0.005402455,0.9789999,0.00003220218,0.0001495659,0.00008396506,0.003281068,0.007573468,0.003647494,0.0001794286,0.0004929854,0.00006997083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995803,0.000007592821,0.00006163734,0.00001583459,0.000004756144,0.000004206981,0.00003449314,0.000004604593,0.0002864939],"genre_scores_gemma":[0.9994832,0.00001537846,0.00005794784,0.000008848062,0.000003888529,0.00001051282,0.00006718151,0.000006561446,0.0003464029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006814647,"threshold_uncertainty_score":0.0150972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01140650814455869,"score_gpt":0.2363989182274639,"score_spread":0.2249924100829052,"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."}}