{"id":"W4365149627","doi":"10.1515/iupac.94.0317","title":"Catalyst","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; Meaning (existential); Abandonment (legal); Field (mathematics); Computer science; Chemistry; Epistemology; Linguistics; Philosophy; Political science; Mathematics; Law","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":[0.001010903,0.002486776,0.001401536,0.003408314,0.001211087,0.003248227,0.003484093,0.001864136,0.1455784],"category_scores_gemma":[0.004866022,0.0006846497,0.001746139,0.004363766,0.0003827293,0.002666779,0.002364727,0.002354219,0.2775574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001529995,"about_ca_system_score_gemma":0.002020799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02390811,"about_ca_topic_score_gemma":0.05535555,"domain_scores_codex":[0.9987589,0.0002058428,0.0001322545,0.0004319133,0.0003026908,0.0001683812],"domain_scores_gemma":[0.9982881,0.0003599666,0.0001363941,0.000626853,0.0004343074,0.0001543861],"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":[0.00005970915,0.00002170661,0.0005053321,0.0004487407,0.00002039803,0.00001667638,0.00001571285,0.0001810675,0.0001244793,0.0007617916,0.9931166,0.004727795],"study_design_scores_gemma":[0.00009835562,0.00001670782,0.001890806,0.0002444615,0.00002045848,0.00005748122,0.00006145066,0.0004231592,0.0003650486,0.001826343,0.994969,0.00002690286],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001805956,0.0001504231,0.0001958924,0.0001039912,0.00005743084,0.00002519501,0.9950426,0.001045631,0.003198377],"genre_scores_gemma":[0.000244025,0.0000768239,0.0003351219,0.000084577,0.000007038373,0.00005172801,0.9975573,0.0001135861,0.001529811],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1455784,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02381377310077709,"score_gpt":0.4238248830609399,"score_spread":0.4000111099601628,"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."}}