{"id":"W4365147235","doi":"10.1515/iupac.94.0624","title":"Lewis Acidity","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); Chemistry; Epistemology; Computer science; 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":[0.001071426,0.003012342,0.001686065,0.004578421,0.001889541,0.004003543,0.00357655,0.001962451,0.1149308],"category_scores_gemma":[0.006522595,0.0007525341,0.001920777,0.006736593,0.0005652978,0.003499956,0.003147172,0.002832641,0.2304383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001515646,"about_ca_system_score_gemma":0.002296821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02141001,"about_ca_topic_score_gemma":0.04824841,"domain_scores_codex":[0.9984536,0.0002863367,0.0001908984,0.000451741,0.0003863914,0.0002310336],"domain_scores_gemma":[0.9979233,0.0004994834,0.0001595057,0.0007406489,0.0004980827,0.000179008],"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":[0.00006272962,0.00002365172,0.0005253575,0.0005305157,0.00001777136,0.00002069176,0.00002382422,0.0002086108,0.0001440066,0.0008782055,0.9926554,0.004909278],"study_design_scores_gemma":[0.0001106871,0.00002060767,0.002080032,0.0003442411,0.00001909118,0.00008008054,0.0000857941,0.0005891015,0.0003887297,0.003352498,0.9928895,0.00003947132],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003777288,0.0003346899,0.0002966904,0.0001292468,0.00009179571,0.00003328094,0.9929074,0.001385149,0.004444006],"genre_scores_gemma":[0.0004779294,0.0001511425,0.0005520487,0.00009213262,0.00001277627,0.00007663089,0.9970696,0.0001584643,0.001409183],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1149308,"threshold_uncertainty_score":0.384482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03165454265201194,"score_gpt":0.436798571364024,"score_spread":0.405144028712012,"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."}}