{"id":"W4365147108","doi":"10.1515/iupac.94.0888","title":"Torquoselectivity","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; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00094112,0.003856353,0.002403408,0.003417828,0.001704867,0.004091395,0.002807434,0.002332672,0.09005629],"category_scores_gemma":[0.003912816,0.000761946,0.002413757,0.004985739,0.0006197875,0.002035719,0.002182457,0.003367846,0.1498519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001585272,"about_ca_system_score_gemma":0.002251156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01794564,"about_ca_topic_score_gemma":0.03290692,"domain_scores_codex":[0.9985433,0.0001730296,0.0001718909,0.0004961755,0.0003837432,0.0002319354],"domain_scores_gemma":[0.9985189,0.0003709087,0.0001634948,0.0005290129,0.000276138,0.0001414834],"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":[0.0002921054,0.00008669456,0.001594981,0.002272151,0.00006415249,0.00005955368,0.00003716283,0.0006108127,0.001795958,0.001307764,0.9838203,0.008058305],"study_design_scores_gemma":[0.0003378406,0.00008664292,0.00656971,0.0006122545,0.00007767822,0.0002378153,0.00007700171,0.001163818,0.003069218,0.003291249,0.9843807,0.0000960766],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005461735,0.0004652356,0.000158423,0.00006374776,0.00006754691,0.00002222796,0.9958369,0.0008425683,0.001997083],"genre_scores_gemma":[0.000497921,0.0001748653,0.0002934696,0.00006617979,0.000006795831,0.00005971689,0.9981775,0.0000821314,0.0006414246],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9099437,"threshold_uncertainty_score":0.3012683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02368443225685767,"score_gpt":0.43065896700103,"score_spread":0.4069745347441723,"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."}}