{"id":"W4288447045","doi":"10.3390/computation10080130","title":"Understanding Clinical Reasoning through Visual Scanpath and Brain Activity Analysis","year":2022,"lang":"en","type":"article","venue":"Computation","topic":"Clinical Reasoning and Diagnostic Skills","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University","funders":"","keywords":"Eye tracking; Gaze; Computer science; Electroencephalography; Workload; Cognition; Amnesia; Task (project management); Protocol (science); Artificial intelligence; Psychology; Human–computer interaction; Cognitive psychology; Medicine","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":[0.001041035,0.0003146989,0.0001767711,0.0005488971,0.0001616808,0.0008178662,0.0003397916,0.0005226805,0.001794572],"category_scores_gemma":[0.008934538,0.0001488565,0.0001349721,0.000195126,0.0004333738,0.001088835,0.0004948289,0.0004158449,0.0002127733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000149778,"about_ca_system_score_gemma":0.0002836699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005950298,"about_ca_topic_score_gemma":0.0008936678,"domain_scores_codex":[0.9993765,0.0002446897,0.00003079915,0.0001537417,0.0001507963,0.00004340449],"domain_scores_gemma":[0.9965997,0.002529173,0.0003923521,0.0001758932,0.0001796874,0.0001231728],"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":[0.001131244,0.002984127,0.1563108,0.0004595932,0.0001265479,0.0005774739,0.03377658,0.004920619,0.4421411,0.00231481,0.0009700071,0.3542871],"study_design_scores_gemma":[0.0003216943,0.009291869,0.6846454,0.0001843507,0.0001688844,0.003130466,0.01865109,0.08751786,0.1681026,0.01718095,0.01057821,0.0002267866],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805388,0.00004819185,0.01762919,0.00006707552,0.000003277632,0.00009510088,0.00004042616,0.00005315328,0.00152485],"genre_scores_gemma":[0.9689108,0.0001284523,0.03007307,0.00004226984,0.00000564998,0.00009459298,0.00007027449,0.00001218806,0.0006626922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001794572,"threshold_uncertainty_score":0.006003439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1591775568114108,"score_gpt":0.4463586139885724,"score_spread":0.2871810571771616,"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."}}