{"id":"W4365149176","doi":"10.1515/iupac.94.0333","title":"Chemical Species","year":2023,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Terminology; Abandonment (legal); Meaning (existential); Field (mathematics); Computer science; Epistemology; Linguistics; Mathematics; Philosophy; Political science; Pure mathematics","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":[0.0007124603,0.002057248,0.001421513,0.004629705,0.00123934,0.002548756,0.002252173,0.001446484,0.145314],"category_scores_gemma":[0.004531877,0.0006204791,0.001244378,0.00670812,0.0004259556,0.002570936,0.002133858,0.002483399,0.2203151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001482513,"about_ca_system_score_gemma":0.002252146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01559193,"about_ca_topic_score_gemma":0.02936304,"domain_scores_codex":[0.9989449,0.0001465349,0.0001588376,0.0003731508,0.0002596532,0.0001169474],"domain_scores_gemma":[0.9982559,0.0004408511,0.0002156243,0.0004769152,0.0004626125,0.0001481273],"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":[0.00004933972,0.0000124915,0.0005970969,0.0009758017,0.00002092866,0.00002429968,0.00002611036,0.0001120657,0.0002638237,0.001239359,0.9922694,0.004409198],"study_design_scores_gemma":[0.00003800102,0.000006463517,0.001519023,0.0002322869,0.00001229816,0.00004812423,0.00003945103,0.00008113908,0.000152139,0.001290939,0.9965652,0.0000150226],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009942376,0.0001747911,0.0001028565,0.00004932988,0.00004872659,0.0000148451,0.997074,0.000277422,0.002158699],"genre_scores_gemma":[0.0002570975,0.0001715627,0.0003456816,0.00009840522,0.00001111728,0.00005360214,0.9977623,0.00007406632,0.001226233],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.145314,"threshold_uncertainty_score":0.4861239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02095760633663692,"score_gpt":0.3915461716210832,"score_spread":0.3705885652844463,"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."}}