{"id":"W4243819303","doi":"10.1515/iupac.87.0330","title":"Intrathecal","year":2016,"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; Relation (database); Chemical nomenclature; Computer science; Psychology; Medicine; Chemistry; Linguistics; Philosophy; Data mining; Organic chemistry","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":[0.001384433,0.001357027,0.001625314,0.002870262,0.0007634007,0.002649306,0.002313345,0.001740767,0.08621796],"category_scores_gemma":[0.01566993,0.0005014543,0.002250397,0.005413379,0.0005360607,0.001990895,0.00211371,0.002128767,0.07423191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001907109,"about_ca_system_score_gemma":0.004230991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01558943,"about_ca_topic_score_gemma":0.02710169,"domain_scores_codex":[0.9975961,0.0004190695,0.0006597144,0.0006600177,0.0004465893,0.0002186489],"domain_scores_gemma":[0.9936799,0.0017627,0.00124725,0.001458284,0.001520136,0.0003317975],"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":[0.001067899,0.00007180675,0.004870718,0.004433287,0.0002200657,0.0001284985,0.0000549635,0.0005037805,0.0002705648,0.001364224,0.9480935,0.03892072],"study_design_scores_gemma":[0.000574702,0.00008669161,0.01243173,0.002531415,0.0002086626,0.0004147675,0.0001124324,0.0003958698,0.0006593059,0.003262475,0.9792581,0.00006385865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007986887,0.001309324,0.0006026082,0.0002957757,0.0001268478,0.0001424473,0.9887159,0.0005330271,0.007475324],"genre_scores_gemma":[0.003298118,0.0013511,0.001713023,0.0008079042,0.00008211392,0.0008556409,0.9864588,0.0001768415,0.005256419],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08621796,"threshold_uncertainty_score":0.2884278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01394474272835426,"score_gpt":0.426177813589992,"score_spread":0.4122330708616377,"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."}}