{"id":"W4415395963","doi":"10.1177/15553434251390009","title":"Situation Awareness in Fast Rescue Crafts Operators—A Simulator Study","year":2025,"lang":"en","type":"article","venue":"Journal of Cognitive Engineering and Decision Making","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Situation awareness; Task (project management); Underpinning; Human factors and ergonomics; Psychological intervention; Poison control; Guard (computer science); Confidence interval; Situational ethics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009269539,0.000329212,0.0002016099,0.0003882556,0.0003942087,0.000652444,0.0002656084,0.0004154065,0.001151071],"category_scores_gemma":[0.005157616,0.000202585,0.0002275878,0.0001057514,0.0005320561,0.000424723,0.000480907,0.0005954607,0.0001643794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003480056,"about_ca_system_score_gemma":0.0005232802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005076881,"about_ca_topic_score_gemma":0.007845972,"domain_scores_codex":[0.9996182,0.0001358808,0.00002169132,0.00006054472,0.00008431687,0.00007936308],"domain_scores_gemma":[0.9970251,0.001084977,0.000449273,0.0002016248,0.0004564519,0.0007826212],"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":[0.001188194,0.006286311,0.8709355,0.0001295252,0.0001157293,0.0007175024,0.06180158,0.00224094,0.02536214,0.000207409,0.0005606539,0.0304545],"study_design_scores_gemma":[0.000112643,0.01310568,0.9427399,0.00004222091,0.00005183088,0.00114862,0.0304826,0.005107479,0.003896605,0.0004352556,0.002757938,0.0001192239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998171,0.00000537517,0.00007620458,0.0000051116,7.946376e-7,0.000005386696,0.000006601479,8.546921e-7,0.00008258285],"genre_scores_gemma":[0.9995385,0.00001809534,0.0002127593,0.00001896113,0.000002379151,0.00001248997,0.00003038951,9.108688e-7,0.0001654672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005076881,"threshold_uncertainty_score":0.01009464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02245843575836776,"score_gpt":0.3978891858409092,"score_spread":0.3754307500825414,"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."}}