{"id":"W4365147862","doi":"10.1515/iupac.94.0222","title":"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); Computer science; Epistemology; Chemistry; 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":[0.0009701516,0.002757473,0.001552191,0.004423567,0.00164161,0.003701574,0.002962299,0.001895226,0.1231871],"category_scores_gemma":[0.005899928,0.0007242437,0.001581258,0.006398132,0.0004897329,0.003177429,0.002798639,0.002577242,0.2556421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001410192,"about_ca_system_score_gemma":0.002009183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01814265,"about_ca_topic_score_gemma":0.04303143,"domain_scores_codex":[0.9985675,0.0002382391,0.0001901294,0.0004908263,0.0003344496,0.0001788026],"domain_scores_gemma":[0.9978472,0.0004886933,0.0001763174,0.0007381858,0.0005729079,0.0001767764],"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":[0.00005090909,0.00001727767,0.00046211,0.0005160733,0.00001471051,0.00001639601,0.00002320262,0.0001212512,0.0001428711,0.0005699658,0.9944635,0.00360167],"study_design_scores_gemma":[0.00007628345,0.00001301341,0.001906584,0.0002377423,0.00001415694,0.00006097452,0.00006822677,0.0002540322,0.0002713236,0.001645813,0.9954223,0.00002953018],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001696418,0.0001724185,0.0001442221,0.0000781762,0.00006018355,0.00001999209,0.9962255,0.000815663,0.002314229],"genre_scores_gemma":[0.000247185,0.00008569373,0.0003739945,0.00007282407,0.000009458164,0.00005647257,0.9980849,0.0001176411,0.0009518184],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1231871,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03078096318643564,"score_gpt":0.4391834994549643,"score_spread":0.4084025362685287,"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."}}