{"id":"W4365149550","doi":"10.1515/iupac.94.0550","title":"Hypercoordinated","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":[],"consensus_categories":[],"category_scores_codex":[0.001209073,0.003539889,0.001719615,0.003430805,0.001586048,0.003665227,0.00385968,0.002350637,0.1148946],"category_scores_gemma":[0.006580252,0.0008489888,0.001851618,0.005740489,0.0006927315,0.003212451,0.003652079,0.002991642,0.2499611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001542256,"about_ca_system_score_gemma":0.002635549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02061603,"about_ca_topic_score_gemma":0.05046748,"domain_scores_codex":[0.9982423,0.0003312371,0.0001798708,0.0006506064,0.0003527948,0.0002431392],"domain_scores_gemma":[0.9977482,0.0004775112,0.0001477461,0.0009306178,0.0004726272,0.0002232754],"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":[0.00005426727,0.00001711383,0.0003106964,0.0003213251,0.0000136689,0.0000145793,0.00001662484,0.0001421039,0.0001002666,0.0004285182,0.9963164,0.002264433],"study_design_scores_gemma":[0.0001476402,0.00002050519,0.001792591,0.0002472345,0.00001815812,0.00008076825,0.0000940214,0.000504759,0.0004233641,0.002502577,0.9941339,0.00003463914],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001539042,0.0001381167,0.0001903213,0.00008754343,0.00007065515,0.00002099299,0.9962369,0.001306486,0.001794928],"genre_scores_gemma":[0.0002437579,0.00005654047,0.0003850562,0.0000700544,0.00000879824,0.00005773833,0.9983163,0.00011653,0.0007452134],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1148946,"threshold_uncertainty_score":0.3843608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02464249876676733,"score_gpt":0.4223044797614437,"score_spread":0.3976619809946764,"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."}}