{"id":"W4365142134","doi":"10.1515/iupac.94.0661","title":"Micellar Catalysis","year":2023,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Catalysis and Oxidation Reactions","field":"Chemical Engineering","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; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002761985,0.0003847616,0.0006219012,0.0003847932,0.0001038798,0.00006935726,0.0004120158,0.0003865105,0.001818714],"category_scores_gemma":[0.0005854624,0.000375368,0.0003961141,0.0007789505,0.00004734354,0.00006592283,0.000172886,0.0006432964,0.0001912039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003961578,"about_ca_system_score_gemma":0.0002013613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001327893,"about_ca_topic_score_gemma":0.00226324,"domain_scores_codex":[0.9976544,0.00001856672,0.0005371911,0.0005073358,0.0009218322,0.0003606415],"domain_scores_gemma":[0.9982027,0.0001325929,0.0001986308,0.0009867999,0.0002974751,0.0001817344],"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":[0.00001094437,0.000107932,6.603337e-7,0.000106538,0.0002934328,0.00003230229,0.000006099967,0.0002903469,0.0004882912,0.000003803073,0.9981812,0.0004784966],"study_design_scores_gemma":[0.0002636773,0.00001430584,0.000005551045,0.00008522126,0.0004718498,0.000005535624,0.0000374163,0.0004545744,0.0004308529,0.000008553978,0.9978268,0.0003957158],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001101138,0.0002444931,0.0003238777,0.0002597039,0.000597624,0.0001197324,0.9980126,0.0002919563,0.00003991022],"genre_scores_gemma":[0.00001047354,0.0006378248,0.00003463359,0.00007653234,0.0007983235,0.00002238594,0.9955522,0.00007062445,0.002796986],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.002757076,"threshold_uncertainty_score":0.9998698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01328346342709465,"score_gpt":0.369239172123938,"score_spread":0.3559557086968433,"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."}}