{"id":"W4309946914","doi":"10.2196/42853","title":"Digital Pattern Recognition for the Identification of Various Hypospadias Parameters via an Artificial Neural Network: Protocol for the Development and Validation of a System and Mobile App","year":2022,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Urological Disorders and Treatments","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hypospadias; Artificial neural network; Foreskin; Glans; Protocol (science); Computer science; Artificial intelligence; Medicine; Penis; Surgery; Pathology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01248434,0.001492921,0.001015862,0.001191371,0.001222192,0.0009606411,0.002184117,0.001921905,0.06078305],"category_scores_gemma":[0.01569557,0.0007051922,0.00082514,0.0005395046,0.001040749,0.0009613622,0.001244193,0.00179596,0.01827308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001082764,"about_ca_system_score_gemma":0.004524646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001357005,"about_ca_topic_score_gemma":0.00173513,"domain_scores_codex":[0.995216,0.001894283,0.0007326706,0.0005647893,0.001240879,0.0003513381],"domain_scores_gemma":[0.9878119,0.002425881,0.000509094,0.002276646,0.006524126,0.0004524138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01706789,0.009770362,0.00874669,0.01131482,0.0003166067,0.002981232,0.002389901,0.008381297,0.1575496,0.01502376,0.2624362,0.5040216],"study_design_scores_gemma":[0.004563367,0.01441771,0.02341361,0.004412579,0.000353238,0.002911514,0.001144263,0.02129159,0.1777229,0.008171669,0.741174,0.0004235284],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.04092618,0.0009365735,0.3874422,0.001812415,0.001368036,0.508499,0.02218752,0.0107695,0.02605871],"genre_scores_gemma":[0.02211486,0.0006079912,0.1779716,0.000934355,0.0001133293,0.7762142,0.007432931,0.0005327027,0.014078],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.06078305,"threshold_uncertainty_score":0.2033396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2699657170252067,"score_gpt":0.4737839780765669,"score_spread":0.2038182610513602,"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."}}