{"id":"W4365147684","doi":"10.1515/iupac.94.0848","title":"Stereoisomers","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; 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":[0.0008461246,0.003030397,0.001894089,0.002908496,0.001417699,0.002689782,0.003296,0.002114517,0.1443776],"category_scores_gemma":[0.003630668,0.00080188,0.001973976,0.004303001,0.0005163737,0.002050577,0.002118501,0.002724392,0.2451824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001475537,"about_ca_system_score_gemma":0.002220322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01549599,"about_ca_topic_score_gemma":0.04311029,"domain_scores_codex":[0.9989496,0.0001443776,0.0001186626,0.000356227,0.0002714147,0.0001597908],"domain_scores_gemma":[0.9986431,0.0002902889,0.0001298983,0.0004926044,0.0003181884,0.0001259095],"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":[0.00019691,0.0000554179,0.0006384415,0.0009830043,0.0000328999,0.00003457772,0.00002002622,0.0002412578,0.0006759467,0.001004725,0.989719,0.00639774],"study_design_scores_gemma":[0.0002625253,0.0000447135,0.003212951,0.0003055377,0.00003817325,0.0001424418,0.00007399352,0.0004168114,0.00141465,0.00284192,0.9911992,0.00004723821],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003106447,0.0002226271,0.0001796018,0.00004883384,0.0000479424,0.0000227725,0.9961648,0.0007207664,0.002282098],"genre_scores_gemma":[0.0003158176,0.0001029746,0.0003535954,0.00005750517,0.000005763499,0.00004446703,0.9981469,0.00006765989,0.0009053212],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1443776,"threshold_uncertainty_score":0.4829912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02611674414077608,"score_gpt":0.4285322083957585,"score_spread":0.4024154642549824,"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."}}