{"id":"W4252244889","doi":"10.1515/iupac.88.0924","title":"Hypospadias","year":2017,"lang":"ru","type":"dataset","venue":"IUPAC Standards Online","topic":"Urological Disorders and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Philosophy; Data mining","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":[0.001011647,0.001007625,0.001160929,0.003062392,0.0005481176,0.001476055,0.001470477,0.001099866,0.0680198],"category_scores_gemma":[0.009415657,0.000450825,0.001756507,0.004386402,0.0003170061,0.001056763,0.00131599,0.001490867,0.02998959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000990624,"about_ca_system_score_gemma":0.002059154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01230223,"about_ca_topic_score_gemma":0.02242879,"domain_scores_codex":[0.9986791,0.0002120038,0.0004217756,0.0003451846,0.0002295167,0.000112317],"domain_scores_gemma":[0.995977,0.001381715,0.0009641029,0.0007680354,0.0007415079,0.0001677858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003932988,0.00003338254,0.009019917,0.006439301,0.0002200755,0.0001377593,0.00005820198,0.000321594,0.0002997987,0.001236025,0.9568481,0.02499246],"study_design_scores_gemma":[0.0004480658,0.00005675861,0.03735793,0.004584213,0.0002424334,0.0007921312,0.0001307633,0.0002852029,0.0003969291,0.002301147,0.9533424,0.00006204109],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004538847,0.000606309,0.0001793884,0.0001151638,0.00005382905,0.00005717458,0.9965065,0.0001456995,0.00188208],"genre_scores_gemma":[0.002081132,0.000883395,0.0007241762,0.0002971867,0.00003505797,0.0003677011,0.9940262,0.00006274518,0.001522558],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0680198,"threshold_uncertainty_score":0.2275489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03032423254726472,"score_gpt":0.4484767438053342,"score_spread":0.4181525112580695,"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."}}