{"id":"W4365147405","doi":"10.1515/iupac.94.0452","title":"Electrophilicity","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); Epistemology; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004167487,0.0005966453,0.0007359826,0.0001346073,0.0001722783,0.0001291307,0.001229328,0.0008979078,0.007846395],"category_scores_gemma":[0.001938111,0.0005997371,0.0002880104,0.0003819492,0.0001742114,0.00004850206,0.000540919,0.002243739,0.00005682526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001132109,"about_ca_system_score_gemma":0.001629864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006787612,"about_ca_topic_score_gemma":0.001131647,"domain_scores_codex":[0.9954451,0.00003141857,0.0005408431,0.0008360779,0.002149108,0.0009974878],"domain_scores_gemma":[0.9970587,0.0001500876,0.000227591,0.001690757,0.0005196765,0.0003531842],"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":[0.0000823127,0.000193082,0.000007029261,0.001046275,0.0001969418,0.0004258983,0.000003511588,0.000003038009,0.001506407,0.000001745827,0.9959549,0.0005788222],"study_design_scores_gemma":[0.0005453888,0.00004627624,0.000003729125,0.0002121812,0.0000857632,0.0000339201,0.00001318663,0.00002358485,0.002827877,0.0002044548,0.9954554,0.0005482569],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000709765,0.0002852576,0.000003930516,0.000438849,0.0001898649,0.0001004659,0.9973549,0.0003915387,0.0005254038],"genre_scores_gemma":[0.00001093796,0.001065754,0.00001643073,0.0000865695,0.002032733,0.00003265568,0.9884193,0.0001092207,0.008226429],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.008935655,"threshold_uncertainty_score":0.9996454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02043169044186395,"score_gpt":0.4190368627799329,"score_spread":0.3986051723380689,"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."}}