{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008098586,0.002940319,0.001475158,0.00330898,0.001759105,0.003414216,0.002740774,0.002057008,0.2283751],"category_scores_gemma":[0.005033409,0.0007663465,0.002145489,0.003777163,0.0004732918,0.003449345,0.003097514,0.0024278,0.3137579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001339901,"about_ca_system_score_gemma":0.002094848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02185332,"about_ca_topic_score_gemma":0.06235813,"domain_scores_codex":[0.9987865,0.0001623926,0.0001404788,0.0004698679,0.0002593962,0.0001813297],"domain_scores_gemma":[0.9980702,0.0004841844,0.0001448099,0.0007086686,0.0004204429,0.0001716975],"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":[0.00007620492,0.00002221328,0.0006984499,0.0005014489,0.00001776893,0.00001766735,0.00002508216,0.000101988,0.0001606301,0.0007462633,0.9932232,0.00440913],"study_design_scores_gemma":[0.00007001566,0.00001555898,0.002049423,0.0002271003,0.00001886951,0.00006744111,0.00006966691,0.0001952748,0.0003196616,0.001538252,0.9954062,0.00002262448],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002166342,0.0001388878,0.000196017,0.0001013924,0.00008191606,0.00002790519,0.9940159,0.001341127,0.003880217],"genre_scores_gemma":[0.00037004,0.0000762757,0.0005142834,0.0001239288,0.00001261039,0.00007040101,0.9962185,0.000210699,0.002403282],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2283751,"threshold_uncertainty_score":0.7639909,"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."}}