{"id":"W4239971227","doi":"10.1515/iupac.88.0454","title":"Anastomosis","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Colorectal Cancer Surgical Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Computer science; Linguistics; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002704797,0.0004877177,0.00111944,0.0001905999,0.0001668019,0.00006893191,0.0003380774,0.0004433589,0.005851791],"category_scores_gemma":[0.0007762884,0.000390846,0.0003722029,0.0001290738,0.0001892478,0.00005987358,0.000215621,0.0006512179,0.00001569808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001069973,"about_ca_system_score_gemma":0.001213134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004435691,"about_ca_topic_score_gemma":0.001211744,"domain_scores_codex":[0.9972051,0.00004614732,0.0003697814,0.0006127554,0.001329286,0.0004368945],"domain_scores_gemma":[0.9972297,0.00006738436,0.0002929923,0.001580696,0.000443122,0.0003861106],"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":[0.001057926,0.0005280938,0.0002927609,0.0002200011,0.0004156457,0.001304992,0.000003907681,1.580409e-7,0.000001346844,3.581662e-7,0.9872482,0.008926578],"study_design_scores_gemma":[0.002565009,0.001075472,0.002573164,0.000636277,0.0008084364,0.00011536,0.000004869735,0.000002108807,0.00001595435,0.00001989108,0.9918631,0.0003203421],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001128863,0.001547336,0.000002945522,0.0006431828,0.0008578127,0.0005450303,0.9946781,0.00008145856,0.0005152216],"genre_scores_gemma":[0.0002155051,0.001407563,0.00006297939,0.0003536346,0.0009595474,0.0000416156,0.995428,0.00004834259,0.001482866],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.008606236,"threshold_uncertainty_score":0.9998543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02795864057300113,"score_gpt":0.4744115625305634,"score_spread":0.4464529219575623,"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."}}