{"id":"W4234411558","doi":"10.1515/iupac.83.0096","title":"G-Value","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Glossary; Photocatalysis; Chemical nomenclature; Compendium; Terminology; Chemistry; Nanotechnology; Catalysis; Materials science; Organic chemistry; Philosophy; History; Archaeology","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":[0.001408881,0.0009671135,0.001193506,0.0005884295,0.0001653337,0.0001179835,0.001268117,0.0007978862,0.01708723],"category_scores_gemma":[0.00180696,0.0007201439,0.0003791473,0.0004511385,0.000376058,0.0001798043,0.000465275,0.0009446197,0.0004757685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001776882,"about_ca_system_score_gemma":0.00220345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002664485,"about_ca_topic_score_gemma":0.001204576,"domain_scores_codex":[0.9937763,0.0002719433,0.000816037,0.001068568,0.003041428,0.001025786],"domain_scores_gemma":[0.9953961,0.0001723091,0.0005970582,0.002498224,0.000905001,0.0004313154],"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":[0.0003233499,0.0003044654,0.000002864623,0.000128761,0.0002302001,0.0002240106,0.000005007848,0.000001579064,0.00003797819,0.00003683567,0.9973488,0.001356169],"study_design_scores_gemma":[0.001670004,0.0002156476,0.00001453647,0.0007511682,0.0002915156,0.00004748842,0.000007947855,0.000002827333,0.00003405539,0.0003424061,0.9956573,0.0009651517],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002358932,0.0009836266,0.00005017135,0.0004147819,0.00152872,0.000508897,0.9959005,0.0003859685,0.0002037138],"genre_scores_gemma":[0.000002104239,0.0004870225,0.00008590519,0.0003425051,0.002863411,0.00002786866,0.994827,0.0003012513,0.001062884],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01661146,"threshold_uncertainty_score":0.999525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01575284709808119,"score_gpt":0.4283084760940789,"score_spread":0.4125556289959977,"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."}}