{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001445527,0.000306217,0.0002900806,0.00007252603,0.0001635159,0.00008562952,0.0005101115,0.0004477609,0.0009735895],"category_scores_gemma":[0.0004714727,0.0002889061,0.0001531751,0.00003083353,0.0001018122,0.000002205127,0.0002037317,0.0001519064,0.000004552902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003083831,"about_ca_system_score_gemma":0.0004187758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000805255,"about_ca_topic_score_gemma":0.001260588,"domain_scores_codex":[0.9985984,0.00004486175,0.0002255242,0.0004656923,0.0004100423,0.000255512],"domain_scores_gemma":[0.998309,0.000005822625,0.0002175597,0.001112379,0.0002350568,0.000120237],"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":[0.00009418642,0.0001401161,0.00005525405,0.00004961561,0.0001075146,0.000005354313,0.000001824572,0.000001444432,0.0003348363,9.80749e-7,0.9977835,0.001425367],"study_design_scores_gemma":[0.0006352746,0.0001821602,0.0004279507,0.0000243802,0.00007372483,0.000004110982,0.00001765239,0.000001505431,0.0003330554,0.00001763815,0.9979413,0.0003413211],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001691419,0.001156065,0.0001155151,0.0001152657,0.0006957931,0.0001493054,0.9959741,0.00001410684,0.00008844625],"genre_scores_gemma":[0.0004099179,0.0008443255,0.00001986261,0.0004709536,0.0006683531,0.00001222125,0.9962406,0.00003026188,0.001303521],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.001281501,"threshold_uncertainty_score":0.9999563,"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."}}