{"id":"W4365142384","doi":"10.1515/iupac.94.0459","title":"Enantiomeric Ratio","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; Abandonment (legal); Meaning (existential); Field (mathematics); Epistemology; Computer science; Chemistry; Linguistics; Philosophy; Mathematics; 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":[0.0009054887,0.003259619,0.002134285,0.003290246,0.001165738,0.00296618,0.002808323,0.001676761,0.09450638],"category_scores_gemma":[0.003754358,0.0006589185,0.001781419,0.004380442,0.0004486315,0.001807446,0.001856371,0.002568954,0.1870376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001185709,"about_ca_system_score_gemma":0.001358112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01418451,"about_ca_topic_score_gemma":0.02831997,"domain_scores_codex":[0.9987378,0.0001452445,0.0001441461,0.0004910046,0.0003257519,0.0001561199],"domain_scores_gemma":[0.9985256,0.0002897787,0.0001512054,0.000547818,0.0003775905,0.0001080984],"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":[0.0001872664,0.00006717836,0.001419786,0.0007781379,0.00005460615,0.00003815972,0.00001702094,0.0003273164,0.0006918612,0.0007233011,0.9873132,0.00838215],"study_design_scores_gemma":[0.0002709244,0.00005349726,0.007836068,0.000334563,0.00006015054,0.000241783,0.00008725184,0.0007931274,0.00228492,0.002923973,0.9850301,0.00008363763],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004409158,0.0002226069,0.0001711575,0.00004377408,0.00006969369,0.0000216175,0.9963683,0.0006134036,0.002048521],"genre_scores_gemma":[0.0005718333,0.0001171294,0.0004845885,0.00006473157,0.00001054488,0.00005387589,0.9974678,0.00008272807,0.001146863],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09450638,"threshold_uncertainty_score":0.3161554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0238017674780707,"score_gpt":0.4247731439810312,"score_spread":0.4009713765029606,"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."}}