{"id":"W4402300443","doi":"10.1101/2024.09.05.24313114","title":"The Autonomous Cognitive Examination: Machine-Learning Based Cognitive Examination","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Cognition; Computer science; Cognitive psychology; Psychology; Artificial intelligence; Neuroscience","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":[0.001716543,0.0003978873,0.0003401537,0.001141262,0.0001292773,0.0008370118,0.0006095852,0.0004919338,0.003362626],"category_scores_gemma":[0.009994416,0.0001335244,0.0002895349,0.0003608602,0.0002753253,0.0005372195,0.000769705,0.0005837212,0.0008049089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003206536,"about_ca_system_score_gemma":0.000635843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002060482,"about_ca_topic_score_gemma":0.003655532,"domain_scores_codex":[0.9988896,0.0005516426,0.00008885509,0.0001834717,0.0002580053,0.0000284328],"domain_scores_gemma":[0.9952099,0.002810509,0.0004436629,0.000411357,0.0008481318,0.000276431],"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":[0.001285269,0.0006645345,0.1007319,0.0003310364,0.0002102921,0.0004343984,0.0001548742,0.02112245,0.01588999,0.002305256,0.01698815,0.8398818],"study_design_scores_gemma":[0.0003857808,0.001805238,0.2643297,0.0003370358,0.0001519578,0.003913989,0.0001609842,0.6466764,0.03407826,0.01536761,0.0325997,0.0001933668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.36782,0.00186751,0.6027776,0.001795847,0.0003365497,0.002014663,0.004610852,0.008279229,0.01049787],"genre_scores_gemma":[0.6234195,0.0004760885,0.3694344,0.0004438029,0.0001810421,0.0008573583,0.001613385,0.0001651222,0.003409212],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003362626,"threshold_uncertainty_score":0.01124913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02709226238929624,"score_gpt":0.2659550463476157,"score_spread":0.2388627839583195,"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."}}