{"id":"W6901982650","doi":"10.6084/m9.figshare.12832012","title":"Additional file 1 of Evaluating the effectiveness of learning ear anatomy using holographic models","year":2020,"lang":"en","type":"article","venue":"Open MIND","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Holography; Visualization; Matching (statistics); Human ear","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000265204,0.00005812099,0.0001548289,0.00003217208,0.00003617683,0.000005013309,0.0002202602,0.00007001399,0.1364435],"category_scores_gemma":[0.0005676422,0.00004677381,0.0000392406,0.0002566069,0.0001057972,0.00007091548,0.00009315607,0.0002033729,0.00001299027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006933409,"about_ca_system_score_gemma":0.00003479682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003898678,"about_ca_topic_score_gemma":5.182125e-7,"domain_scores_codex":[0.999467,0.00009961989,0.0001311708,0.00009794705,0.0001103161,0.00009401328],"domain_scores_gemma":[0.9988231,0.0009936695,0.0000461002,0.00007509388,0.0000331651,0.00002889366],"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":[0.0002417541,0.00009109019,0.0002138376,0.0004562726,0.000544129,0.00002920371,0.001284421,0.4542908,0.01878307,0.0009331137,0.03844386,0.4846885],"study_design_scores_gemma":[0.0003184081,0.0001744365,0.0002731341,0.0003720715,0.0000295364,0.000006240083,0.0004601444,0.9512885,0.005317961,0.0007557934,0.04089192,0.0001118505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.940046,0.0003432211,0.006466993,0.00006852191,0.00006029554,0.0007745607,0.02614402,0.00003075618,0.02606569],"genre_scores_gemma":[0.9911711,0.000004786574,0.008026667,0.00000636907,0.00001403273,0.0000354677,0.0007235816,0.000009617418,0.000008360697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4969977,"threshold_uncertainty_score":0.8643459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05766162811509836,"score_gpt":0.3176765315299129,"score_spread":0.2600149034148145,"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."}}