{"id":"W4240552328","doi":"10.1515/iupac.88.0887","title":"Hernia","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Hernia repair and management","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; Data mining; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008323792,0.0009992499,0.001101692,0.002691837,0.000484073,0.002103979,0.001777198,0.001287873,0.1448484],"category_scores_gemma":[0.01026786,0.0003493673,0.001622477,0.004714569,0.0002650081,0.001618882,0.001494681,0.001150408,0.0835746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001170977,"about_ca_system_score_gemma":0.002356244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01093032,"about_ca_topic_score_gemma":0.01977427,"domain_scores_codex":[0.9987375,0.0002208903,0.0003663598,0.0003486533,0.0002098501,0.0001166894],"domain_scores_gemma":[0.9962012,0.001017056,0.0009174997,0.0006841362,0.0009385601,0.0002415374],"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":[0.0003025655,0.00001825436,0.004546204,0.004876934,0.0001178249,0.00007418264,0.00003586068,0.0001900577,0.00008691261,0.001444344,0.96791,0.0203967],"study_design_scores_gemma":[0.0003079558,0.00003719092,0.01211533,0.004540898,0.000124282,0.0005044493,0.0001383742,0.0001954857,0.0001980107,0.001982385,0.9798195,0.0000361333],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003390051,0.0007489228,0.0001542615,0.000184062,0.0000830942,0.00006001467,0.9936393,0.0002197729,0.004571594],"genre_scores_gemma":[0.001872381,0.001104599,0.0006860334,0.0005094194,0.00006326044,0.00023692,0.9922727,0.00007988401,0.003174769],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1448484,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02144249161461942,"score_gpt":0.4591008253785374,"score_spread":0.437658333763918,"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."}}