{"id":"W4365142170","doi":"10.1515/iupac.94.0921","title":"Z-Value","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); Value (mathematics); Field (mathematics); Epistemology; Computer science; 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":[0.0004884102,0.0006011631,0.0007288458,0.0001349382,0.0001634854,0.000149883,0.001286816,0.0009462038,0.007789429],"category_scores_gemma":[0.002162981,0.0006016363,0.0002922864,0.0003302511,0.0001939331,0.00005227605,0.0006739188,0.001956754,0.00009112834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009260458,"about_ca_system_score_gemma":0.001683203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007361771,"about_ca_topic_score_gemma":0.0007171888,"domain_scores_codex":[0.9953261,0.00003226619,0.000572575,0.0008334414,0.00234764,0.0008879848],"domain_scores_gemma":[0.9969156,0.0001811891,0.0002309522,0.001844285,0.0004479268,0.0003800469],"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":[0.0000580793,0.0001687355,0.000005416577,0.001414852,0.0002043608,0.0005843567,0.000006121881,0.000009156217,0.0003824797,0.000004893605,0.9964902,0.0006713571],"study_design_scores_gemma":[0.0006385765,0.00002979688,0.000001992475,0.0004048785,0.00009789591,0.00003241419,0.00003509041,0.00004142606,0.001186973,0.000189747,0.9967698,0.0005714525],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001438026,0.0003215727,0.000004344385,0.0005166597,0.0003551221,0.00009829506,0.9972672,0.0003849859,0.0009080393],"genre_scores_gemma":[0.000002433776,0.001023709,0.00004006937,0.00008619985,0.002189441,0.00003298617,0.98204,0.0001233504,0.01446181],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01522717,"threshold_uncertainty_score":0.9996435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02368983981676121,"score_gpt":0.434928179144439,"score_spread":0.4112383393276778,"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."}}