{"id":"W4365147241","doi":"10.1515/iupac.94.0856","title":"Structural Isomers","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; Chemistry; 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":[0.0006349891,0.003048399,0.001747105,0.003721505,0.001732566,0.003155233,0.00382093,0.002218061,0.1690578],"category_scores_gemma":[0.003344452,0.000710837,0.002277134,0.005155246,0.0005259504,0.00268355,0.002387017,0.002828699,0.2080774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001826866,"about_ca_system_score_gemma":0.00211043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01874529,"about_ca_topic_score_gemma":0.05495849,"domain_scores_codex":[0.9988944,0.0001221041,0.0001007545,0.0004401938,0.00026842,0.0001741523],"domain_scores_gemma":[0.9988981,0.0002214834,0.0001077964,0.0003890303,0.000273116,0.0001103915],"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":[0.0001593075,0.00004097504,0.0006409722,0.0008441723,0.00003266391,0.00003843105,0.0000195923,0.0002460377,0.0003958966,0.001577226,0.9891638,0.006841061],"study_design_scores_gemma":[0.0001359042,0.00002606094,0.002013707,0.0002535922,0.0000302907,0.0001377235,0.00007886394,0.0003703857,0.0005720478,0.00338824,0.9929621,0.00003115602],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003684844,0.0003313929,0.0002067341,0.0000810113,0.00005687173,0.00002545305,0.9937781,0.0008605103,0.004291448],"genre_scores_gemma":[0.0004369901,0.0001456799,0.0004528199,0.00007867299,0.000007762666,0.0000429083,0.9973514,0.0001092132,0.001374554],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1690578,"threshold_uncertainty_score":0.5655549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02490683994140398,"score_gpt":0.4204860026297929,"score_spread":0.3955791626883889,"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."}}