{"id":"W4231714564","doi":"10.1515/iupac.68.0138","title":"Pseudo Rate Constant","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Various Chemistry Research Topics","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Glossary; Terminology; Constant (computer programming); Field (mathematics); Computer science; Linguistics; Philosophy; Mathematics; Programming language","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":[0.001234114,0.003659547,0.001801874,0.00394684,0.0008012979,0.003297512,0.003451683,0.001718062,0.06167718],"category_scores_gemma":[0.008854876,0.0009253809,0.002826091,0.004913091,0.0003969627,0.00314479,0.001429317,0.003585268,0.1129277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001781986,"about_ca_system_score_gemma":0.001995336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01445614,"about_ca_topic_score_gemma":0.02290661,"domain_scores_codex":[0.9981586,0.0002029173,0.0002905331,0.0008069507,0.0003812916,0.0001597196],"domain_scores_gemma":[0.997071,0.000809334,0.000366538,0.001038004,0.0005719025,0.0001430886],"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":[0.0002320981,0.00007288394,0.002626323,0.001624898,0.0001267452,0.0000361755,0.00002080671,0.001385695,0.0005007752,0.001332525,0.9806532,0.01138798],"study_design_scores_gemma":[0.0003905355,0.00008226521,0.007791693,0.0004731671,0.0001297315,0.0003104894,0.00005306874,0.002737918,0.001473086,0.006086126,0.9803677,0.0001043645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003655586,0.0004468273,0.0004595936,0.00006329396,0.0001131333,0.00002836902,0.9962307,0.001122393,0.001170147],"genre_scores_gemma":[0.0009890642,0.0002835922,0.0008857602,0.0001010174,0.00002330706,0.0001033107,0.9963441,0.000188732,0.001081017],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06167718,"threshold_uncertainty_score":0.2063307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01852382766488353,"score_gpt":0.3990795789067803,"score_spread":0.3805557512418968,"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."}}