{"id":"W4365147320","doi":"10.1515/iupac.94.0374","title":"Correlation Analysis","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; Mathematics; Philosophy; 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":[0.0004572227,0.0004570705,0.0007860679,0.0003644587,0.0001483602,0.0001329663,0.0007580075,0.000821163,0.009726163],"category_scores_gemma":[0.001553113,0.0004671743,0.0004820903,0.001260215,0.0001153051,0.00005650446,0.0003399133,0.001382915,0.00004621428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008488536,"about_ca_system_score_gemma":0.0008339499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006313837,"about_ca_topic_score_gemma":0.002648254,"domain_scores_codex":[0.9961252,0.00003218151,0.0004951583,0.0007291996,0.00203503,0.0005832388],"domain_scores_gemma":[0.9971818,0.0001912147,0.0003084221,0.001504904,0.0005531105,0.0002605844],"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":[0.00004785342,0.0001145834,0.0001205941,0.0004671188,0.001608422,0.0001776859,0.000006947637,0.000327805,0.00005751698,0.000001135499,0.9966455,0.00042483],"study_design_scores_gemma":[0.0004046219,0.00001690931,0.00002996166,0.0001053529,0.001421599,0.000005313618,0.00003114205,0.00132345,0.0001226251,0.00004591235,0.9960601,0.0004330139],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000181149,0.0001700663,0.0001130696,0.0002448228,0.0001907953,0.00007303238,0.9983914,0.0002529948,0.0003826662],"genre_scores_gemma":[0.00002199209,0.0005150726,0.00002475461,0.00002972004,0.0008986725,0.00002133583,0.9859424,0.00006062561,0.01248547],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01244905,"threshold_uncertainty_score":0.999778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02066984690914263,"score_gpt":0.4211017938018432,"score_spread":0.4004319468927006,"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."}}