{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002477817,0.0004698564,0.0002362752,0.0004769581,0.0003751742,0.00108863,0.0007466951,0.0009745614,0.01015877],"category_scores_gemma":[0.03958571,0.0002888253,0.0004529609,0.0002043773,0.0003939395,0.00151137,0.001501586,0.0004782138,0.0009687385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003639143,"about_ca_system_score_gemma":0.0004822987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005482467,"about_ca_topic_score_gemma":0.0007643881,"domain_scores_codex":[0.9974282,0.001575727,0.0001455032,0.000195549,0.0004732628,0.0001816965],"domain_scores_gemma":[0.9714428,0.02314466,0.002310195,0.001041082,0.001323983,0.0007372673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006430396,0.002534405,0.1583367,0.002069543,0.0001076797,0.002809254,0.04083559,0.008255533,0.09565957,0.002843502,0.01495967,0.6651582],"study_design_scores_gemma":[0.0009291254,0.02015256,0.7474635,0.00237401,0.0005120266,0.004664863,0.03857672,0.06059457,0.07486275,0.007364834,0.04177519,0.0007298717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9637123,0.000250373,0.02520864,0.0009559185,0.00007599222,0.0002381928,0.0001607502,0.001069356,0.008328479],"genre_scores_gemma":[0.9893228,0.00006452397,0.009612035,0.00009808395,0.00001898092,0.0000875235,0.00003946792,0.00002875158,0.0007277631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01015877,"threshold_uncertainty_score":0.03398448,"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."}}