{"id":"W4238325746","doi":"10.1515/iupac.87.0313","title":"Hypophysectomy","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Cancer Treatment and Pharmacology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Relation (database); Psychology; 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":[0.001018103,0.001196645,0.001362772,0.001824155,0.0004983998,0.001957713,0.001340686,0.001151504,0.07593659],"category_scores_gemma":[0.006493171,0.0004303382,0.002860971,0.002673368,0.0003198372,0.001274885,0.001296551,0.001836685,0.03769583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001562101,"about_ca_system_score_gemma":0.002356733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009656139,"about_ca_topic_score_gemma":0.01882071,"domain_scores_codex":[0.9989619,0.0001651125,0.000262055,0.000327436,0.000165668,0.0001177515],"domain_scores_gemma":[0.9973298,0.0009708153,0.000533982,0.0006017943,0.0004125959,0.0001511279],"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":[0.003527906,0.0001135027,0.01228816,0.01003991,0.001003679,0.0002621426,0.0000520157,0.001172093,0.0006118019,0.001639235,0.913303,0.05598643],"study_design_scores_gemma":[0.002066797,0.0001965225,0.0326739,0.003917825,0.000618558,0.001129866,0.0001079297,0.000592327,0.0009751285,0.005543523,0.9520916,0.00008614301],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001374483,0.001938172,0.0004602663,0.0002435184,0.0001327443,0.0001127764,0.9899099,0.0002806024,0.005547558],"genre_scores_gemma":[0.005920203,0.002022952,0.001281274,0.0008648384,0.00009587072,0.0004751123,0.9849662,0.0001477611,0.004225898],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07593659,"threshold_uncertainty_score":0.2540332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02043353449274182,"score_gpt":0.462408677904578,"score_spread":0.4419751434118361,"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."}}