{"id":"W4243218266","doi":"10.1515/iupac.83.0386","title":"Hit Rate","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Glossary; Context (archaeology); Computer science; Field (mathematics); Process (computing); Multidisciplinary approach; Data science; Component (thermodynamics); Management science; Engineering; Sociology; Biology; Linguistics; 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":[0.002600206,0.001784723,0.002591695,0.007678301,0.0008471322,0.004188995,0.003031193,0.001580491,0.07670429],"category_scores_gemma":[0.02139266,0.0005919399,0.002571559,0.008575851,0.0004548322,0.002761625,0.001592509,0.002858552,0.1152852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001984151,"about_ca_system_score_gemma":0.00188826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01512715,"about_ca_topic_score_gemma":0.01959415,"domain_scores_codex":[0.9955983,0.0005065295,0.0008031262,0.00160322,0.001152355,0.0003364543],"domain_scores_gemma":[0.9917153,0.002812468,0.0009690908,0.00205772,0.002094909,0.000350587],"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":[0.0002481504,0.00005456102,0.01036397,0.001389298,0.0002231789,0.00004874325,0.00004875859,0.001183317,0.0001896541,0.001956195,0.9716542,0.01263994],"study_design_scores_gemma":[0.0004815891,0.0001048876,0.02902091,0.0006728016,0.0002749047,0.0006652926,0.0001996367,0.002408321,0.000958777,0.005404057,0.959676,0.0001327962],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001100654,0.0003949963,0.0003108631,0.0001400742,0.00009743828,0.00004054336,0.99391,0.0007686557,0.003236777],"genre_scores_gemma":[0.003481152,0.0002866777,0.0007689852,0.0001449864,0.00004663143,0.0001444138,0.9919052,0.0003126326,0.002909286],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07670429,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01711810590334638,"score_gpt":0.4205741911668892,"score_spread":0.4034560852635428,"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."}}