{"id":"W4365147447","doi":"10.1515/iupac.94.0782","title":"Radiolysis","year":2023,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Radioactive element chemistry and processing","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Terminology; Meaning (existential); Abandonment (legal); Field (mathematics); Chemistry; Epistemology; Linguistics; Philosophy; Political science; 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":[0.001225646,0.002132799,0.001541949,0.003230437,0.0009595705,0.002821711,0.003328158,0.001833498,0.1075625],"category_scores_gemma":[0.005614987,0.0007167718,0.001767356,0.004913659,0.0003822444,0.001724941,0.001919863,0.002131083,0.2217339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001595542,"about_ca_system_score_gemma":0.00214873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01705178,"about_ca_topic_score_gemma":0.03268785,"domain_scores_codex":[0.9986432,0.0002320066,0.0001703853,0.0004895447,0.0003168235,0.000148116],"domain_scores_gemma":[0.9976733,0.0005210779,0.000239015,0.0007778961,0.000661088,0.0001274766],"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":[0.00007878377,0.00001733253,0.0005659096,0.0008799306,0.00003542681,0.00001847836,0.00001734379,0.0002227013,0.0002613518,0.0005895278,0.992016,0.005297251],"study_design_scores_gemma":[0.0000897706,0.00001371735,0.002254873,0.0003398166,0.00003251254,0.00005953778,0.00004046551,0.00020937,0.0004947031,0.00133536,0.9950992,0.00003070801],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009854958,0.0001661395,0.0001705949,0.00006277091,0.00003408792,0.00001379214,0.9974751,0.000603907,0.001374942],"genre_scores_gemma":[0.0002213335,0.0001199484,0.0004592254,0.00006641947,0.00000804179,0.00005743967,0.9979546,0.0001161362,0.0009967479],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1075625,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01709570454345548,"score_gpt":0.3996040067916474,"score_spread":0.3825083022481919,"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."}}