{"id":"W4234185555","doi":"10.1515/iupac.88.0480","title":"Anorectal","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":[0.000978798,0.0009570692,0.001241578,0.002899517,0.0005162578,0.001808001,0.00159627,0.001102648,0.07679965],"category_scores_gemma":[0.0108212,0.0003751079,0.001841183,0.004798454,0.0003068319,0.001462329,0.001609655,0.001618414,0.03796526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001282735,"about_ca_system_score_gemma":0.002939606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01313235,"about_ca_topic_score_gemma":0.02700073,"domain_scores_codex":[0.9988147,0.0002123833,0.0003589233,0.0002883968,0.0002136771,0.0001118875],"domain_scores_gemma":[0.9963387,0.001055039,0.0008896013,0.0006128662,0.0008694737,0.0002343684],"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":[0.0003915616,0.00003524535,0.007769012,0.007471609,0.0002014084,0.00008888406,0.00004558248,0.0002775915,0.0001611496,0.00133711,0.9603725,0.02184836],"study_design_scores_gemma":[0.0004330091,0.00005745771,0.03039633,0.00549111,0.0002170014,0.0004535292,0.000135879,0.0002752909,0.000246163,0.002160806,0.9600799,0.00005359674],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004507927,0.0009096797,0.0001413178,0.0001496077,0.00006373054,0.00006344455,0.9956219,0.0001123841,0.002487231],"genre_scores_gemma":[0.001935799,0.001048226,0.0006747153,0.0003540492,0.00003762404,0.0003898921,0.9936202,0.00005046959,0.001889085],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07679965,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01917746260944748,"score_gpt":0.4594395292662498,"score_spread":0.4402620666568023,"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."}}