{"id":"W4365147585","doi":"10.1515/iupac.94.0248","title":"Anomers","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":[0.0003997744,0.0005587128,0.0006788592,0.000149036,0.0001467321,0.0001320513,0.001146116,0.0008200977,0.01066659],"category_scores_gemma":[0.001486831,0.000567305,0.0002693624,0.0003490196,0.0002049867,0.00005305832,0.0005511553,0.001706871,0.00007737769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009064257,"about_ca_system_score_gemma":0.001485796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005039506,"about_ca_topic_score_gemma":0.0008266234,"domain_scores_codex":[0.9958084,0.00002389526,0.0005207607,0.000782032,0.002010425,0.0008545098],"domain_scores_gemma":[0.9972283,0.0001481795,0.0002206167,0.001611925,0.0004198735,0.0003711336],"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":[0.00005719007,0.000139861,0.00001158275,0.001242936,0.0002095761,0.0005022411,0.000006326903,0.000004020661,0.0003096712,9.948125e-7,0.996729,0.0007866223],"study_design_scores_gemma":[0.0006010991,0.00002818874,0.000002903028,0.0002852118,0.00008362653,0.00002276635,0.0000544943,0.00001620306,0.0007423781,0.00006683106,0.9975553,0.0005409972],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001872244,0.0002936868,0.000002315527,0.0004510804,0.0003224791,0.00008763548,0.9974248,0.000326039,0.0009047625],"genre_scores_gemma":[0.000004266061,0.001157116,0.00002327084,0.00007177437,0.001612201,0.00002902101,0.982069,0.0001102421,0.01492313],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0153558,"threshold_uncertainty_score":0.9996778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02436684238818069,"score_gpt":0.4287630764654605,"score_spread":0.4043962340772798,"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."}}