{"id":"W1965705331","doi":"10.1177/154193120905300411","title":"Human Reliance on an Automated Combat ID System: Effects of Display Format","year":2009,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; University of Toronto","funders":"University of Toronto","keywords":"Reliability (semiconductor); Computer science; Human–computer interaction; Identification (biology); Chart; Interface (matter); Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003016541,0.000716469,0.0002891248,0.0005032897,0.0002291496,0.001191682,0.0004129392,0.0006648657,0.003160972],"category_scores_gemma":[0.04249797,0.0004613789,0.000261626,0.0001705074,0.0003197924,0.001242755,0.0008614821,0.0004781894,0.0004297934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001820549,"about_ca_system_score_gemma":0.0001667607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005950494,"about_ca_topic_score_gemma":0.0006300597,"domain_scores_codex":[0.9981516,0.001050375,0.0001934921,0.0001769064,0.0003254036,0.0001022247],"domain_scores_gemma":[0.9534467,0.03910122,0.003073547,0.001815859,0.001857675,0.0007050392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.03216224,0.003471215,0.1456546,0.001562851,0.0004514847,0.0009464188,0.0111344,0.004192543,0.6663225,0.0005887588,0.001029191,0.1324837],"study_design_scores_gemma":[0.001180339,0.0309108,0.8286774,0.0006373154,0.0009971877,0.001892932,0.005527693,0.01838103,0.1071088,0.00130666,0.003068613,0.0003112183],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970055,0.00008623048,0.001792027,0.00003208766,0.00001765174,0.00003697398,0.00002584254,0.00006005637,0.0009435826],"genre_scores_gemma":[0.9950978,0.00009357816,0.004201675,0.00007942422,0.00001630928,0.00004220184,0.00005808838,0.00003961533,0.0003713371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003160972,"threshold_uncertainty_score":0.01595318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01296401894906868,"score_gpt":0.3030429008154542,"score_spread":0.2900788818663855,"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."}}