{"id":"W4251599687","doi":"10.1515/iupac.68.0044","title":"Collision Frequency","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Glossary; Terminology; Field (mathematics); Computer science; Linguistics; Philosophy; Mathematics","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":[0.0009139547,0.002500653,0.001820846,0.00560809,0.0009718761,0.00224213,0.002734782,0.001017527,0.08362935],"category_scores_gemma":[0.005648193,0.0005908121,0.001388299,0.0063609,0.0003235062,0.002099679,0.001406761,0.002183746,0.1186622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001369816,"about_ca_system_score_gemma":0.001501297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01290113,"about_ca_topic_score_gemma":0.02339316,"domain_scores_codex":[0.9984036,0.0001256822,0.0003083416,0.0004958581,0.000530576,0.0001358556],"domain_scores_gemma":[0.997932,0.0004324605,0.0002114706,0.000670366,0.0006605907,0.00009312318],"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":[0.0001163102,0.0000570632,0.001200283,0.0008035082,0.00004072997,0.00002990205,0.00002046866,0.00042802,0.0005484571,0.0005770395,0.9773232,0.01885513],"study_design_scores_gemma":[0.000144158,0.00006093959,0.007548898,0.0003384617,0.00004944366,0.0003402852,0.00007908213,0.001279547,0.00194192,0.002677707,0.9854432,0.00009635787],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006346546,0.0004181606,0.0009575572,0.00007751174,0.0001943133,0.0000721326,0.9925559,0.001788602,0.003301224],"genre_scores_gemma":[0.0009362424,0.0002638033,0.001756335,0.00009218469,0.00002760358,0.000188965,0.9946463,0.000187719,0.001900829],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08362935,"threshold_uncertainty_score":0.279768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01211736831412548,"score_gpt":0.3838773159612388,"score_spread":0.3717599476471133,"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."}}