{"id":"W4253095610","doi":"10.1515/iupac.68.0165","title":"Retarder","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001102253,0.003079663,0.001748173,0.004311082,0.001179798,0.003368203,0.003453092,0.001726758,0.1348645],"category_scores_gemma":[0.007358069,0.0009215605,0.0019441,0.006056179,0.0004408134,0.002831539,0.002739309,0.00252806,0.2659513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001429997,"about_ca_system_score_gemma":0.002160395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02272607,"about_ca_topic_score_gemma":0.04780998,"domain_scores_codex":[0.9984587,0.0002369584,0.0002121961,0.0005347112,0.0003488294,0.0002084782],"domain_scores_gemma":[0.9973078,0.0005973451,0.0002939371,0.0008699936,0.0007307353,0.0002002774],"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":[0.00009300049,0.00001836223,0.0007195052,0.000634253,0.00002312895,0.00001136565,0.00002046737,0.0001678445,0.000106092,0.0005420079,0.9932953,0.00436875],"study_design_scores_gemma":[0.0001738734,0.00002412841,0.003101237,0.0003805008,0.00003087673,0.00006672325,0.00007964698,0.0003724144,0.0003686954,0.001811476,0.993549,0.00004139575],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001147935,0.00009084238,0.0001330105,0.00004893793,0.00003332287,0.00001427407,0.9977105,0.0007474055,0.001107064],"genre_scores_gemma":[0.0002655137,0.0000808167,0.0003566277,0.00006398166,0.000009695947,0.00007240571,0.9978524,0.0001671528,0.001131427],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8651355,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.017445661601657,"score_gpt":0.4252173020309725,"score_spread":0.4077716404293155,"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."}}