{"id":"W4365149552","doi":"10.1515/iupac.94.0908","title":"Valence Isomer","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; Abandonment (legal); Valence (chemistry); Field (mathematics); Meaning (existential); Computer science; Chemistry; Epistemology; Linguistics; Philosophy; Mathematics; Political science; Organic chemistry; 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":[],"consensus_categories":[],"category_scores_codex":[0.0007630098,0.003096689,0.001627223,0.002743366,0.001411505,0.003565772,0.003567929,0.002018378,0.1382418],"category_scores_gemma":[0.003378879,0.0006778835,0.001635853,0.00387406,0.0004476942,0.002853024,0.002766028,0.002587959,0.2817153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001368402,"about_ca_system_score_gemma":0.001571515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0162729,"about_ca_topic_score_gemma":0.04387758,"domain_scores_codex":[0.9989773,0.0001596397,0.00008818111,0.0003851545,0.0002287421,0.0001610358],"domain_scores_gemma":[0.9989063,0.0002150351,0.00008827985,0.0004019147,0.0002713605,0.000117115],"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":[0.00007339262,0.00001986404,0.0003691154,0.0003788408,0.0000177813,0.00001587386,0.00001567772,0.0001403145,0.0001177645,0.0006219878,0.9944571,0.003772241],"study_design_scores_gemma":[0.000113095,0.00001929243,0.001736818,0.0002433876,0.00002022578,0.00008060936,0.00006503829,0.0003742086,0.0003764119,0.002570141,0.9943731,0.00002759981],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002249464,0.000222563,0.0001712449,0.00009824704,0.00006417779,0.00002005958,0.993827,0.001284557,0.004087224],"genre_scores_gemma":[0.0003176815,0.00009407372,0.0003495146,0.00009389786,0.00001008547,0.00004438726,0.9974923,0.0001532558,0.001444784],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1382418,"threshold_uncertainty_score":0.462465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02552409740130395,"score_gpt":0.4303185524459092,"score_spread":0.4047944550446053,"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."}}