{"id":"W4220951123","doi":"10.1109/thms.2022.3155714","title":"Situated Visual Alarm Displays Support Machine Fitness Assessment for Nonexplainable Automation","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Human-Machine Systems","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal College of Physicians and Surgeons of Canada; University of Ottawa","funders":"","keywords":"ALARM; Situated; Artificial intelligence; Computer science; Machine learning; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0008228801,0.0003091667,0.0005430586,0.0005259439,0.00199672,0.00003106429,0.0001714376,0.0001775812,0.0003143846],"category_scores_gemma":[0.000009252343,0.0003072548,0.0001927979,0.0004134448,0.00004711283,0.0001405987,0.000005420332,0.0008934386,0.00001855645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006954846,"about_ca_system_score_gemma":0.0001943967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001046946,"about_ca_topic_score_gemma":0.0001151925,"domain_scores_codex":[0.9975179,0.0002176594,0.0007199055,0.0004962506,0.0005615344,0.0004866797],"domain_scores_gemma":[0.9988275,0.0001816646,0.0002279569,0.0004457017,0.0001449129,0.000172223],"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":[0.008056669,0.03391209,0.05736883,0.02092514,0.005943303,0.001562427,0.01382861,0.5846287,0.1323164,0.01339421,0.010766,0.1172977],"study_design_scores_gemma":[0.02247112,0.02802076,0.007345647,0.0008964143,0.001489222,0.001335169,0.005857171,0.8793778,0.02107373,0.0001804648,0.02964217,0.002310313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5011096,0.0001239701,0.487305,0.0008256665,0.004172348,0.003794444,0.0009106191,0.001100228,0.0006580624],"genre_scores_gemma":[0.9939142,0.000008098834,0.000290117,0.00009860226,0.0001431303,0.002326795,0.0006919876,0.00007254609,0.002454554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4928046,"threshold_uncertainty_score":0.999938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04676220888205011,"score_gpt":0.3834482084951403,"score_spread":0.3366859996130901,"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."}}