{"id":"W4405804303","doi":"10.1109/ehb64556.2024.10805659","title":"A Vision-Based Approach for the Automated Evaluation of the MoCA Clock-Drawing Test Using a YOLO Neural Network","year":2024,"lang":"en","type":"article","venue":"","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Computer science; Test (biology); Artificial intelligence; Computer vision; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001461091,0.0001154441,0.0001291611,0.00005310512,0.0001950762,0.0001046882,0.0001031496,0.0001090563,0.00001689076],"category_scores_gemma":[0.0001485582,0.00006090477,0.0001445845,0.0006102186,0.00001865754,0.00007061963,0.00001713708,0.0001374268,0.000001662586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009887241,"about_ca_system_score_gemma":0.00007027801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006522459,"about_ca_topic_score_gemma":0.000005927638,"domain_scores_codex":[0.9989673,0.00009131568,0.000287644,0.000139894,0.0003415171,0.0001722546],"domain_scores_gemma":[0.9990597,0.0005438633,0.00003795492,0.0002260655,0.0001133314,0.00001905603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006377837,0.000005863329,0.00004024857,0.00005370076,0.00002589747,7.309373e-8,0.00004781713,0.9876557,0.003475956,0.00003343396,0.00187134,0.00678359],"study_design_scores_gemma":[0.0002876057,0.00003682258,0.0002216912,0.00009257409,0.0001126412,0.000004745128,0.0000725994,0.9966708,0.001837331,0.00002007808,0.0005650421,0.00007811189],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4693078,0.002318485,0.5119847,0.0001692126,0.00672703,0.004465819,0.00002603922,0.002401329,0.002599593],"genre_scores_gemma":[0.9987942,5.023562e-7,0.0006415047,0.00002074269,0.0004060096,0.00007759289,0.000002965726,0.00002936052,0.00002714388],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5294864,"threshold_uncertainty_score":0.2483624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05483285133485303,"score_gpt":0.3060574463805807,"score_spread":0.2512245950457276,"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."}}