{"id":"W4365147289","doi":"10.1515/iupac.94.0340","title":"Chiral Feature","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); Feature (linguistics); 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":[0.0008063979,0.003066567,0.001633192,0.003022264,0.001332009,0.002802648,0.003542049,0.002197586,0.1715765],"category_scores_gemma":[0.004031429,0.0006637916,0.001518434,0.00405677,0.0004906246,0.00255927,0.002866584,0.002444048,0.3263482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001307663,"about_ca_system_score_gemma":0.001710126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02219484,"about_ca_topic_score_gemma":0.06019987,"domain_scores_codex":[0.9990358,0.0001489989,0.00009147256,0.0003286482,0.0002356625,0.0001593326],"domain_scores_gemma":[0.9983374,0.0003477428,0.0001312377,0.0006383088,0.0003707547,0.0001745618],"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":[0.00005160817,0.00001828189,0.0003317984,0.0002651859,0.00001058195,0.00001464885,0.00001100282,0.00009806061,0.0001214304,0.000366554,0.9958444,0.002866388],"study_design_scores_gemma":[0.0001112025,0.00001911275,0.002093073,0.0001740909,0.000016124,0.00008150883,0.00006318097,0.0004195711,0.0004484908,0.00194094,0.9946003,0.00003241644],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001242803,0.00008424853,0.0001416791,0.00006159571,0.00004621553,0.00001708244,0.9964542,0.0009781379,0.002092474],"genre_scores_gemma":[0.0002342295,0.00004379067,0.0003064261,0.00006870134,0.000009070474,0.00004305095,0.9980956,0.0001197436,0.001079442],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1715765,"threshold_uncertainty_score":0.5739807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01955953630871631,"score_gpt":0.4184748288856805,"score_spread":0.3989152925769642,"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."}}