{"id":"W4365147123","doi":"10.1515/iupac.94.0766","title":"Pseudo-First-Order Rate Coefficient","year":2023,"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 Toronto","funders":"","keywords":"Glossary; Terminology; Abandonment (legal); Meaning (existential); Field (mathematics); Order (exchange); Computer science; Epistemology; Linguistics; Mathematics; Philosophy; Political science; Economics; Law; Pure 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":[0.005714072,0.003036901,0.002398386,0.004966292,0.001163403,0.004013706,0.004346243,0.002498511,0.06986462],"category_scores_gemma":[0.03157018,0.0007145716,0.003376746,0.005464691,0.0006713175,0.002716915,0.001526111,0.004382824,0.1488068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002023902,"about_ca_system_score_gemma":0.002224927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01686209,"about_ca_topic_score_gemma":0.02643691,"domain_scores_codex":[0.9952599,0.001038463,0.0005378477,0.002027034,0.0007624349,0.0003744065],"domain_scores_gemma":[0.9882625,0.004574385,0.0009947,0.003858282,0.00200461,0.0003055463],"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":[0.0004593734,0.0001693477,0.01261689,0.001034586,0.000317829,0.0000905436,0.00005013012,0.003671766,0.0003452328,0.002595542,0.9529499,0.02569886],"study_design_scores_gemma":[0.0009279636,0.0003106893,0.0517157,0.0007458447,0.0004173786,0.001190422,0.0002300804,0.03319367,0.002650438,0.02575161,0.8824585,0.0004077214],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002874817,0.001280034,0.004441436,0.0002930666,0.0005159192,0.00009273235,0.9851447,0.00247025,0.002887037],"genre_scores_gemma":[0.009109085,0.0004128711,0.004379791,0.0001718706,0.0001658473,0.0003492007,0.9795358,0.0005339728,0.005341655],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06986462,"threshold_uncertainty_score":0.2337204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02175863791908259,"score_gpt":0.399791561397816,"score_spread":0.3780329234787334,"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."}}