{"id":"W4238722561","doi":"10.1515/iupac.88.0448","title":"Anal Membrane","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Anorectal Disease Treatments and Outcomes","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":[0.002720899,0.001729559,0.001504989,0.004606051,0.001156392,0.004348867,0.002137092,0.001853258,0.1752757],"category_scores_gemma":[0.01559039,0.0006342279,0.002769498,0.005279398,0.0005456944,0.002979647,0.003149678,0.001952635,0.2387606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001670368,"about_ca_system_score_gemma":0.00478066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009618459,"about_ca_topic_score_gemma":0.01552832,"domain_scores_codex":[0.9968873,0.000499981,0.000754667,0.000912744,0.0006528247,0.0002926127],"domain_scores_gemma":[0.9942544,0.001342053,0.0004639783,0.001609706,0.002081089,0.0002487755],"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":[0.0001693034,0.0000349577,0.001893795,0.002494126,0.00008731407,0.00005369382,0.00005513792,0.0002510384,0.000368974,0.00214159,0.9638133,0.02863672],"study_design_scores_gemma":[0.00009104028,0.00002161337,0.002185002,0.0008291799,0.00004051729,0.00008399694,0.0000968473,0.0002772144,0.0004368029,0.002809616,0.9931044,0.00002378184],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003250166,0.0005955976,0.001017882,0.0004079556,0.0001884936,0.000166951,0.9878494,0.001615926,0.007832707],"genre_scores_gemma":[0.001049964,0.000582009,0.002686691,0.0004673279,0.00004811421,0.000528041,0.9893433,0.0002738495,0.005020874],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1752757,"threshold_uncertainty_score":0.5863557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02066216173669712,"score_gpt":0.4595199159966192,"score_spread":0.4388577542599221,"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."}}