{"id":"W4211006806","doi":"10.1109/jbhi.2022.3150242","title":"A Unified Representation of Control Logic in Human-Ultrasound Machine Interaction","year":2022,"lang":"en","type":"article","venue":"IEEE Journal of Biomedical and Health Informatics","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Unified Modeling Language; Representation (politics); Control logic; Domain (mathematical analysis); Control (management); Programming language; Artificial intelligence; Applications of UML; Human–computer interaction; Software engineering; Software","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001433356,0.00006950625,0.0003045434,0.0004607168,0.0001268524,0.00001146864,0.00009897699,0.00004561943,0.001636098],"category_scores_gemma":[0.00005250922,0.00005771516,0.00005778483,0.0002353708,0.00006579949,0.000172222,0.00001396658,0.0004990519,0.000004951187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001234705,"about_ca_system_score_gemma":0.00008128202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001370727,"about_ca_topic_score_gemma":0.00001755105,"domain_scores_codex":[0.9974871,0.0002196681,0.001767884,0.00004496364,0.0003445794,0.0001358345],"domain_scores_gemma":[0.9980491,0.0002094161,0.001452449,0.00008261114,0.0000809351,0.0001254815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.006882789,0.008356727,0.05371674,0.002468228,0.001239464,0.0001984181,0.3429175,0.005238255,0.003880431,0.07693698,0.2171878,0.2809767],"study_design_scores_gemma":[0.05363009,0.01929704,0.3540733,0.0008553667,0.00017532,0.009515246,0.2066442,0.03690594,0.0002065885,0.01345673,0.3042261,0.001014064],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9446531,0.0002976429,0.03162294,0.012016,0.004870026,0.0005102641,0.00008836381,0.00002947812,0.0059122],"genre_scores_gemma":[0.9974225,0.00006059587,0.0002847968,0.002007684,0.00009161978,0.000006007995,0.00001655988,0.000003838541,0.0001063996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3003566,"threshold_uncertainty_score":0.9992765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07030942393092775,"score_gpt":0.4379200371008117,"score_spread":0.3676106131698839,"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."}}