{"id":"W4251452517","doi":"10.1515/iupac.88.0702","title":"Dysgenesis","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Sexual Differentiation and Disorders","field":"Biochemistry, Genetics and Molecular Biology","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":[0.001143413,0.001441003,0.001487883,0.0043289,0.0008687823,0.002758641,0.002175929,0.001581254,0.1084082],"category_scores_gemma":[0.008778282,0.0005747097,0.001775549,0.005492055,0.0004439134,0.001611509,0.002441733,0.001560845,0.07928056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001303061,"about_ca_system_score_gemma":0.002849723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01153089,"about_ca_topic_score_gemma":0.02457745,"domain_scores_codex":[0.9986756,0.0002023225,0.000319939,0.0003985805,0.0002594115,0.0001441436],"domain_scores_gemma":[0.996822,0.001009414,0.0005199148,0.0007780403,0.0006583384,0.0002123114],"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":[0.0002547693,0.00002533779,0.004400571,0.004678912,0.000110528,0.0001073083,0.00006732097,0.0002457089,0.0003516871,0.001719179,0.9666784,0.0213603],"study_design_scores_gemma":[0.000142627,0.00002034893,0.008821814,0.001494213,0.00007329426,0.0002570357,0.00006478807,0.0001136476,0.0002947228,0.001584623,0.9871055,0.00002733989],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002501183,0.0005314611,0.0001709962,0.0001252816,0.00006031951,0.00003430775,0.9962047,0.0002685203,0.002354397],"genre_scores_gemma":[0.0007733079,0.0005897672,0.0005836959,0.0002282371,0.00002142508,0.0001923161,0.9956055,0.00009206527,0.001913613],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1084082,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01592511827616113,"score_gpt":0.4250605378660182,"score_spread":0.4091354195898571,"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."}}