{"id":"W4365147118","doi":"10.1515/iupac.94.0457","title":"Enantiomer","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); 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006658146,0.002679253,0.001633468,0.002412164,0.001079995,0.002291378,0.002417249,0.001633237,0.1408858],"category_scores_gemma":[0.003166087,0.0005617905,0.001515381,0.003222817,0.000371304,0.001703753,0.00195335,0.001996063,0.2321468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001052509,"about_ca_system_score_gemma":0.001348477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01765433,"about_ca_topic_score_gemma":0.0391775,"domain_scores_codex":[0.9990959,0.0001175257,0.0001099052,0.0003454507,0.0002074253,0.0001237083],"domain_scores_gemma":[0.9988024,0.0002337124,0.0001338869,0.0004178562,0.0003019238,0.0001101872],"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":[0.0001423741,0.00003703323,0.0009252748,0.0005513262,0.00002750966,0.00003102616,0.00001327033,0.0001405277,0.0002577209,0.0004959833,0.9913502,0.006027907],"study_design_scores_gemma":[0.0001592139,0.00003416674,0.004923583,0.0002728637,0.00003294158,0.0001814313,0.00007877113,0.0003434967,0.0006441015,0.001613124,0.991677,0.00003930679],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002409164,0.0001478802,0.0001105187,0.00005494093,0.00004575653,0.00001888553,0.9967523,0.000368135,0.002260772],"genre_scores_gemma":[0.0004092317,0.00008495334,0.0002997153,0.00009337482,0.000008846365,0.00004415735,0.9974769,0.00005796464,0.001524809],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8591142,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02516046041535591,"score_gpt":0.4343327581868936,"score_spread":0.4091722977715377,"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."}}