{"id":"W4365147842","doi":"10.1515/iupac.94.0879","title":"Tautomerization","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); Tautomer; Epistemology; Computer science; Chemistry; Linguistics; Philosophy; Mathematics; Political science; Stereochemistry; 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":[0.001629659,0.004800554,0.002483556,0.00503075,0.002992708,0.004144984,0.00533257,0.002820831,0.1163101],"category_scores_gemma":[0.006329515,0.0009197631,0.003562445,0.006256073,0.0009313883,0.002795042,0.003419159,0.004595272,0.1803317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001807287,"about_ca_system_score_gemma":0.003113466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01055227,"about_ca_topic_score_gemma":0.027331,"domain_scores_codex":[0.9978408,0.0003160015,0.0002310292,0.0009482767,0.0004025691,0.0002614176],"domain_scores_gemma":[0.9983063,0.0003267581,0.0001496918,0.0007874153,0.000322961,0.0001068567],"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":[0.0001859989,0.00005931047,0.0006165064,0.001177254,0.00006584408,0.00007135613,0.00003516701,0.0003021065,0.0009074666,0.001605246,0.9866033,0.008370521],"study_design_scores_gemma":[0.0003430017,0.00005129226,0.002368637,0.0003670706,0.00009342027,0.0003166784,0.0001030688,0.001096397,0.002115303,0.007429611,0.9856455,0.00007001767],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008995922,0.0007475338,0.0009210756,0.0001320423,0.0001791756,0.00007856514,0.9893658,0.003595906,0.004080254],"genre_scores_gemma":[0.0006109767,0.0001620178,0.001382991,0.00007819197,0.00001314726,0.0001378382,0.9963816,0.0002770647,0.0009560706],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1163101,"threshold_uncertainty_score":0.3890961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02119344493555308,"score_gpt":0.4259136662819666,"score_spread":0.4047202213464136,"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."}}