{"id":"W4246540569","doi":"10.1515/iupac.88.1248","title":"Prolapse","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pelvic floor disorders treatments","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":[0.001394053,0.0008546028,0.00130583,0.003248439,0.0006840928,0.002894566,0.001771135,0.001308095,0.1753497],"category_scores_gemma":[0.01788715,0.0004337398,0.001891654,0.005311235,0.0003442306,0.00191983,0.002039997,0.001442007,0.1009749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00146635,"about_ca_system_score_gemma":0.003774131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.010733,"about_ca_topic_score_gemma":0.01867205,"domain_scores_codex":[0.9980185,0.0003839062,0.0006296533,0.0004669061,0.0002983433,0.0002027515],"domain_scores_gemma":[0.9942554,0.002011732,0.001125585,0.0008952138,0.001356725,0.0003553024],"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":[0.0002444415,0.00001247257,0.002465112,0.004896485,0.00008941013,0.00005238176,0.00003563143,0.0001233028,0.00005539612,0.001269009,0.9751918,0.01556449],"study_design_scores_gemma":[0.0002918004,0.00002682894,0.005665937,0.004372003,0.00009751214,0.0002187738,0.0001010607,0.0001087571,0.000116528,0.001865811,0.9871045,0.00003035302],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001950272,0.0008059377,0.0001115584,0.0003418762,0.000123201,0.00005073648,0.9944481,0.0001592014,0.00376444],"genre_scores_gemma":[0.001430934,0.00137194,0.0005597408,0.0008483134,0.0001100821,0.0003716947,0.991318,0.0001156096,0.003873617],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1753497,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01946807944298098,"score_gpt":0.4363490461258564,"score_spread":0.4168809666828754,"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."}}