{"id":"W4365149483","doi":"10.1515/iupac.94.0259","title":"Atomic Charge","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; Chemistry; Epistemology; Linguistics; Philosophy; Mathematics; Political science; 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":[0.0005608762,0.002474017,0.001514685,0.00356231,0.001263305,0.002771108,0.003111777,0.001671927,0.1543515],"category_scores_gemma":[0.003540108,0.0006506971,0.001450026,0.00662732,0.0003658723,0.002798065,0.002303784,0.002432032,0.2743435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00159486,"about_ca_system_score_gemma":0.001829848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.023029,"about_ca_topic_score_gemma":0.0438931,"domain_scores_codex":[0.9992337,0.00009040245,0.00009529408,0.0002533805,0.000215917,0.0001112334],"domain_scores_gemma":[0.9988713,0.0001909438,0.0001031091,0.0003999358,0.0003325781,0.0001021467],"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":[0.00003551507,0.00001109791,0.0003334396,0.0003290578,0.00001227014,0.00001452033,0.00001235723,0.0001189466,0.0001468158,0.0007884872,0.9953631,0.002834348],"study_design_scores_gemma":[0.0000641814,0.00001037149,0.001894895,0.0001771261,0.00001411117,0.00006403644,0.00004374004,0.0002939015,0.0002932304,0.002788486,0.9943323,0.000023699],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001110253,0.0001345648,0.0001276474,0.00005891482,0.00004341936,0.00001150821,0.9966167,0.0005278022,0.002368501],"genre_scores_gemma":[0.0002438686,0.0001029682,0.0002960087,0.00006616351,0.000007434995,0.00003043201,0.9980738,0.00008201611,0.001097197],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1543515,"threshold_uncertainty_score":0.5163572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02348249209139513,"score_gpt":0.4184577393420321,"score_spread":0.3949752472506369,"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."}}