{"id":"W4365147292","doi":"10.1515/iupac.94.0241","title":"Amphoteric","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; 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":[0.0008363509,0.002352077,0.001291217,0.003353654,0.001291931,0.002914371,0.002691152,0.001876087,0.1032602],"category_scores_gemma":[0.004276066,0.0006117229,0.001318398,0.004532143,0.0004788611,0.002931122,0.002752044,0.002506332,0.2233217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001346004,"about_ca_system_score_gemma":0.001793617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0175828,"about_ca_topic_score_gemma":0.04706432,"domain_scores_codex":[0.9990333,0.0001797821,0.0001129095,0.0003059669,0.0002329606,0.0001351215],"domain_scores_gemma":[0.9983863,0.0004001443,0.0001369725,0.000545477,0.0003802281,0.0001508719],"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":[0.00005084112,0.00001865696,0.000356945,0.0004126253,0.00001175579,0.0000151946,0.00001980991,0.0001179956,0.0001029527,0.000695271,0.994769,0.003428866],"study_design_scores_gemma":[0.00008786988,0.00001444806,0.00183107,0.0002459237,0.00001219727,0.0000722461,0.00008356734,0.000326846,0.0002503459,0.001791629,0.9952607,0.0000233001],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002149825,0.0001632842,0.0001654191,0.0001021522,0.00004803698,0.00001837676,0.9952508,0.0009813025,0.003055722],"genre_scores_gemma":[0.0002892789,0.00008175773,0.0003402296,0.0000890704,0.00000740645,0.00005208984,0.9978877,0.0001024977,0.001149926],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1032602,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0242560019869449,"score_gpt":0.4260863342676088,"score_spread":0.4018303322806639,"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."}}