{"id":"W3046369427","doi":"10.1007/978-3-030-54407-2_20","title":"Assessing the Capability of Deep-Learning Models in Parkinson’s Disease Diagnosis","year":2020,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Medical diagnosis; Disease; Parkinson's disease; Computer science; Machine learning; Magnetic resonance imaging; Artificial intelligence; Medicine; Pathology; Radiology","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":[0.003094211,0.001135742,0.0005921171,0.0007277709,0.0002030055,0.00109993,0.0007641183,0.002390067,0.001465686],"category_scores_gemma":[0.01181955,0.000266097,0.0005566425,0.0003856012,0.0003314647,0.001195133,0.0009520448,0.001238492,0.0007897764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005511763,"about_ca_system_score_gemma":0.0007993878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006841069,"about_ca_topic_score_gemma":0.004852531,"domain_scores_codex":[0.9992566,0.0002866561,0.00006173184,0.0001548322,0.0001444454,0.00009579285],"domain_scores_gemma":[0.9921374,0.006318797,0.0002086467,0.000352901,0.0006877028,0.0002945153],"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":[0.002587898,0.0007139658,0.04893976,0.0003551281,0.0005870963,0.0002435163,0.0001092769,0.5831971,0.005725448,0.001565157,0.01123575,0.3447399],"study_design_scores_gemma":[0.00002153323,0.0002717625,0.003380732,0.00004205113,0.00005971685,0.00007083528,0.00003586301,0.9914061,0.002895433,0.001353963,0.0004488267,0.00001328161],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.845243,0.0115402,0.1239503,0.002894612,0.0007871519,0.0001267486,0.00308638,0.002668703,0.009702914],"genre_scores_gemma":[0.9785044,0.0007112232,0.01654396,0.000172194,0.00007143259,0.00002092294,0.002062688,0.00004140238,0.001871702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006841069,"threshold_uncertainty_score":0.01636392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03471121544552448,"score_gpt":0.284899809435723,"score_spread":0.2501885939901985,"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."}}