{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002019235,0.001006483,0.00126542,0.0005945735,0.0001744708,0.0001457316,0.001226558,0.0007481705,0.02350305],"category_scores_gemma":[0.001989205,0.0007541,0.0003589095,0.0004875557,0.0003602068,0.0002034714,0.000457219,0.0009472593,0.0006710564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001707278,"about_ca_system_score_gemma":0.002179438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001846118,"about_ca_topic_score_gemma":0.002051652,"domain_scores_codex":[0.9944307,0.0003932704,0.0008517552,0.001098166,0.002149113,0.001077059],"domain_scores_gemma":[0.9951489,0.0002203034,0.00070535,0.002377543,0.001111416,0.0004365008],"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":[0.000498506,0.0002598814,0.000003002432,0.0001286351,0.000256117,0.0002957768,0.00000493702,8.682788e-7,0.00009240159,0.00001048791,0.9971769,0.001272444],"study_design_scores_gemma":[0.002013948,0.000201634,0.00002449664,0.0006681936,0.0002989969,0.00002801977,0.000007510919,0.000001823958,0.00005467936,0.0002734489,0.9954224,0.00100481],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004219829,0.000801397,0.00003874796,0.0005784655,0.001491576,0.0005274749,0.9959849,0.0003850751,0.0001501314],"genre_scores_gemma":[0.000003272234,0.0005915541,0.00003944774,0.0003796223,0.002523957,0.00003173991,0.9938922,0.0003141902,0.002224045],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.022832,"threshold_uncertainty_score":0.999491,"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."}}