{"id":"W4365142092","doi":"10.1515/iupac.94.0445","title":"Electron Transfer","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); Computer science; Epistemology; Linguistics; Philosophy; Mathematics; Political science","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":[0.0006743692,0.002782807,0.001554658,0.002743011,0.001298941,0.002717617,0.003096087,0.002116483,0.1314068],"category_scores_gemma":[0.003371731,0.0006752168,0.001895998,0.004538788,0.000322375,0.002263406,0.002069841,0.002227724,0.2118607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001499574,"about_ca_system_score_gemma":0.001718272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01833662,"about_ca_topic_score_gemma":0.03762344,"domain_scores_codex":[0.999164,0.0001166774,0.00008689383,0.0002951874,0.0002057316,0.0001314748],"domain_scores_gemma":[0.998922,0.0002460308,0.00009723874,0.0003973423,0.0002472685,0.00009019258],"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":[0.0001057487,0.00003520065,0.0005987737,0.0009600602,0.00003084618,0.0000248731,0.00001767166,0.0003868777,0.0002892304,0.0007776209,0.9902554,0.006517703],"study_design_scores_gemma":[0.0001873542,0.00003626586,0.003415121,0.0004669606,0.00004485062,0.0001105731,0.00006853299,0.001044181,0.001151892,0.004742461,0.9886802,0.00005151529],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002365418,0.0002239537,0.0001814383,0.00007340691,0.00004267621,0.00001901199,0.9960983,0.0007294232,0.002395211],"genre_scores_gemma":[0.0003604972,0.0001342929,0.0003838121,0.00006738242,0.00000627798,0.00005178109,0.9976253,0.00006739282,0.001303326],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1314068,"threshold_uncertainty_score":0.4395994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01921213758077042,"score_gpt":0.414003351987596,"score_spread":0.3947912144068256,"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."}}