{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001040195,0.003631733,0.001687639,0.004345375,0.001737179,0.004059752,0.003576929,0.002208503,0.1691159],"category_scores_gemma":[0.00619814,0.0009436377,0.001983521,0.005549354,0.0005396355,0.003812273,0.003478123,0.002820686,0.3380335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001348703,"about_ca_system_score_gemma":0.002264812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01797398,"about_ca_topic_score_gemma":0.04856206,"domain_scores_codex":[0.9983428,0.0002627301,0.0002011375,0.0005926461,0.0003467496,0.0002539064],"domain_scores_gemma":[0.9976074,0.0004868621,0.0001878171,0.001010269,0.0005097289,0.0001979832],"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":[0.00005519298,0.00001667829,0.0004353707,0.0003454999,0.00001439663,0.0000180227,0.00001955391,0.0001027218,0.0001001225,0.0006635594,0.9947509,0.003478068],"study_design_scores_gemma":[0.00009194122,0.00001246344,0.001576584,0.0002081571,0.00001541764,0.00007815895,0.00008017573,0.0003065728,0.0003187238,0.002089015,0.9951957,0.00002721388],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001853926,0.0001446302,0.0001967092,0.00008142457,0.00006549371,0.00002101594,0.9945856,0.001593106,0.003126602],"genre_scores_gemma":[0.000249013,0.0000772862,0.0004229556,0.00009225368,0.00001059966,0.00005604163,0.9975736,0.0001955519,0.001322784],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1691159,"threshold_uncertainty_score":0,"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."}}