{"id":"W6968043308","doi":"10.5281/zenodo.14049193","title":"Automatic Scoring of Cognition Drawings - Improving prediction accuracy through curriculum learning","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dementia; Cognition; Test (biology); Cognitive decline; Identification (biology); Collectable; German","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002563662,0.001596849,0.001212096,0.002829633,0.0003967756,0.001593919,0.001976605,0.001328608,0.006314837],"category_scores_gemma":[0.01228454,0.0004162508,0.0009879336,0.001866926,0.0002721203,0.001702458,0.001653413,0.001771037,0.00678458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007308167,"about_ca_system_score_gemma":0.0009866252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005843647,"about_ca_topic_score_gemma":0.007186789,"domain_scores_codex":[0.9983363,0.0003965987,0.0001320997,0.0006623853,0.0003000699,0.0001726762],"domain_scores_gemma":[0.9944056,0.002621491,0.0004078594,0.0006069587,0.001744167,0.0002139419],"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":[0.0005335983,0.0004141615,0.02208448,0.0001760564,0.00008068371,0.0001269505,0.0001182699,0.01502147,0.006500357,0.0007611277,0.01520809,0.9389747],"study_design_scores_gemma":[0.0001605761,0.0004264279,0.02299176,0.000129187,0.0001358986,0.0002716161,0.0002142601,0.9432849,0.01338915,0.006023249,0.01290278,0.00007030639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2616995,0.002393094,0.6797695,0.0007998394,0.001020622,0.001043131,0.006450521,0.03545131,0.01137249],"genre_scores_gemma":[0.5858604,0.0009831137,0.3935063,0.000343537,0.0002218161,0.0008009785,0.0110064,0.0005413051,0.006736266],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006314837,"threshold_uncertainty_score":0.02112526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02296424221772827,"score_gpt":0.2839866607256629,"score_spread":0.2610224185079346,"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."}}