{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005013048,0.0005772389,0.0007143443,0.000115077,0.0001724911,0.0001434571,0.001264291,0.0009573331,0.01022715],"category_scores_gemma":[0.002416125,0.0005771026,0.0002856018,0.0003064895,0.0001975272,0.00005797663,0.0007241259,0.002044552,0.00008756645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009129789,"about_ca_system_score_gemma":0.001566192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005549461,"about_ca_topic_score_gemma":0.001304732,"domain_scores_codex":[0.99554,0.00003068059,0.0005349866,0.0008121921,0.002232717,0.0008493735],"domain_scores_gemma":[0.9968492,0.0001706577,0.0002337397,0.001852324,0.0005155904,0.000378461],"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":[0.00005913666,0.0001784783,0.000007394535,0.001338263,0.0001753163,0.0005259697,0.000005101571,0.000002595311,0.000521047,0.000001077277,0.996449,0.0007366042],"study_design_scores_gemma":[0.0005768372,0.00002602454,0.000003547778,0.0002880394,0.00008554437,0.00002645427,0.00002951324,0.00001629737,0.001997663,0.0001361344,0.9962747,0.0005392534],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000257787,0.00022001,0.000004244601,0.0004369174,0.0003618333,0.0000914943,0.9976366,0.0003831344,0.000608024],"genre_scores_gemma":[0.000005187893,0.00099346,0.00002530844,0.00006063181,0.00222594,0.00003095226,0.9852835,0.0001000349,0.01127498],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01235305,"threshold_uncertainty_score":0.9996681,"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."}}