{"id":"W4385351273","doi":"10.1016/j.ibmed.2023.100104","title":"Neural networks for cognitive testing: Cognitive test drawing classification","year":2023,"lang":"en","type":"article","venue":"Intelligence-Based Medicine","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Cognition; Expediting; Context (archaeology); Telemedicine; Dementia; Health care; Population; Cognitive test; Medicine; Computer science; Psychology; Artificial intelligence; Psychiatry; Engineering; Pathology","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001253437,0.0003434213,0.0005018512,0.0006008146,0.0002953604,0.00003851208,0.0001571417,0.0001526613,0.0003876263],"category_scores_gemma":[0.01289548,0.0002776363,0.0001485132,0.001961622,0.000644137,0.0001074355,0.00004843746,0.0004595018,0.0001671497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009880209,"about_ca_system_score_gemma":0.0002842763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003851479,"about_ca_topic_score_gemma":0.00000675048,"domain_scores_codex":[0.9969629,0.00009744782,0.0006352963,0.0006810074,0.0007614433,0.0008619046],"domain_scores_gemma":[0.9891466,0.008211655,0.000186006,0.0002182717,0.001812253,0.0004252267],"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":[0.001985702,0.000689992,0.296999,0.000500407,0.0002165005,0.0003207535,0.0005210029,0.0001502517,0.005460416,0.0001918913,0.002583801,0.6903803],"study_design_scores_gemma":[0.005889276,0.00899347,0.2487023,0.003979906,0.0009356271,0.00005817338,0.007805523,0.7048103,0.01672564,0.0006720185,0.0009047615,0.0005229993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3345548,0.0006382003,0.6269833,0.01142504,0.0009590951,0.008790664,0.0001215594,0.001094341,0.01543298],"genre_scores_gemma":[0.9928124,0.00006359713,0.0002134482,0.002309655,0.001055593,0.001091646,0.001021725,0.00006685757,0.001365112],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7046601,"threshold_uncertainty_score":0.9999676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.133447714849851,"score_gpt":0.3957056532479711,"score_spread":0.2622579383981202,"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."}}