{"id":"W4365147294","doi":"10.1515/iupac.94.0453","title":"Element Effect","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; Epistemology; 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":[0.0008248688,0.0006643914,0.0008275165,0.0001279439,0.0001560995,0.0001422525,0.00111262,0.0007375674,0.00877831],"category_scores_gemma":[0.001825467,0.0006152441,0.0003184103,0.0002783276,0.0001340154,0.00004083347,0.000678257,0.001732655,0.00008081114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001170208,"about_ca_system_score_gemma":0.0009839118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004196772,"about_ca_topic_score_gemma":0.0007250461,"domain_scores_codex":[0.9951265,0.00005388483,0.0005797377,0.0008346084,0.002475037,0.0009302298],"domain_scores_gemma":[0.9970711,0.0002894946,0.0002347061,0.001714142,0.0003349548,0.0003555734],"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":[0.0001191764,0.0001466159,0.00001974046,0.002583412,0.0003017976,0.0005330494,0.000004162252,0.000004466096,0.0005485562,7.249999e-7,0.9940571,0.001681263],"study_design_scores_gemma":[0.001089476,0.0001176062,0.000002318827,0.0004585193,0.0001460768,0.00001906838,0.00001424487,0.00002291317,0.004477864,0.00003520755,0.9930716,0.000545131],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004006364,0.0002931475,0.000003658433,0.0003052164,0.0003276863,0.0001853434,0.9977157,0.0003253049,0.0004433105],"genre_scores_gemma":[0.00000662761,0.000691759,0.00001625138,0.00005015356,0.001793601,0.00008093176,0.9894719,0.0001118651,0.007776897],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0086975,"threshold_uncertainty_score":0.9996299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01659176419810616,"score_gpt":0.4289079183076507,"score_spread":0.4123161541095445,"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."}}