{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008974145,0.00008280525,0.0003195579,0.00009448832,0.0002464285,0.0000270259,0.00002922234,0.00004586032,0.00006992181],"category_scores_gemma":[0.007335753,0.00008288954,0.0001399262,0.0005712603,0.00007105814,0.00005397224,0.00009054937,0.0002743805,0.000003016309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001492183,"about_ca_system_score_gemma":0.00008341301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007082005,"about_ca_topic_score_gemma":0.000007693099,"domain_scores_codex":[0.9987851,0.0002353377,0.0002586964,0.000307939,0.000273463,0.000139466],"domain_scores_gemma":[0.9918022,0.007829711,0.0001313415,0.00009586279,0.00003166726,0.0001091789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006474081,0.0009637123,0.9087157,0.00002457053,0.0009826659,0.000120934,0.001372466,0.01320379,0.00007206918,0.003081442,0.00513516,0.06568012],"study_design_scores_gemma":[0.002115344,0.0008703418,0.6550331,0.0001002574,0.0009024318,0.00003516305,0.0008654205,0.3371007,0.00001039444,0.002645953,0.0001646559,0.0001562909],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7839915,0.0000533095,0.2133921,0.001665794,0.0001461372,0.000112634,0.000003951751,0.00005748974,0.0005771493],"genre_scores_gemma":[0.996757,0.00001744167,0.002126463,0.0008282082,0.0001013644,0.000007586274,0.0000770504,0.00001019019,0.00007473268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3238969,"threshold_uncertainty_score":0.8782111,"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."}}