{"id":"W4250185713","doi":"10.1515/iupac.88.1316","title":"Seminiferous Tubule","year":2017,"lang":"ceb","type":"dataset","venue":"IUPAC Standards Online","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","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; Data mining; Philosophy","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":[0.001171931,0.001042644,0.001541804,0.004690194,0.0007015955,0.002257885,0.001706969,0.001158759,0.09796987],"category_scores_gemma":[0.007867084,0.0006051297,0.001532989,0.00704239,0.0003705206,0.001743048,0.001913106,0.001562268,0.06234292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001074138,"about_ca_system_score_gemma":0.002690191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01456713,"about_ca_topic_score_gemma":0.03159258,"domain_scores_codex":[0.9988806,0.000167855,0.0002856998,0.0002964794,0.0002497264,0.0001197667],"domain_scores_gemma":[0.9959557,0.001218705,0.0007235453,0.0008109723,0.001071717,0.0002194194],"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":[0.0002192473,0.00001680876,0.004599027,0.005442004,0.0001090646,0.00007369304,0.00006332673,0.0003847882,0.0003746957,0.001224485,0.9687074,0.01878547],"study_design_scores_gemma":[0.0001350134,0.00002262301,0.01179827,0.002046592,0.00008796247,0.0002265697,0.00007481757,0.0002105641,0.0003062258,0.001894029,0.9831678,0.00002969061],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002131727,0.0004997869,0.0001598448,0.0000818485,0.00004868027,0.00002730783,0.9970083,0.0001859788,0.001775154],"genre_scores_gemma":[0.001026074,0.0006104955,0.0006861445,0.0001697852,0.00002214272,0.0001479696,0.9960185,0.00006301369,0.001255842],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09796987,"threshold_uncertainty_score":0.3277419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01320897123490803,"score_gpt":0.4616255424538715,"score_spread":0.4484165712189634,"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."}}