{"id":"W4416524834","doi":"10.1016/b978-0-323-90509-1.00020-5","title":"Correlation","year":2025,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; University of Waterloo","funders":"","keywords":"Correlation; Context (archaeology); Measure (data warehouse); Outcome (game theory); Relation (database)","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":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001512571,0.0004033186,0.00108237,0.0001299625,0.0000756787,0.0000347961,0.0003194779,0.0007910364,0.001533207],"category_scores_gemma":[0.0196285,0.0003674081,0.0003773044,0.00001319713,0.0001758994,0.00001407296,0.0001826232,0.0008507675,0.0003908838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009781274,"about_ca_system_score_gemma":0.0001451213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.91315e-8,"about_ca_topic_score_gemma":0.00000201368,"domain_scores_codex":[0.9974509,0.000177189,0.001188889,0.0005140458,0.0004307557,0.0002381858],"domain_scores_gemma":[0.9721825,0.02622257,0.0005069254,0.0008158953,0.0001590726,0.0001129987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001198553,0.000004535023,3.992259e-7,0.0001201629,0.00006810897,0.000008218995,0.00001029329,4.082686e-8,3.600915e-7,0.4609542,0.002605746,0.5362159],"study_design_scores_gemma":[0.0001717871,0.00002438611,8.697582e-7,0.0005614583,0.000244952,0.000001393375,5.223724e-7,0.00001546785,0.000004022935,0.5516835,0.4471056,0.0001860039],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[1.972101e-7,0.0001285144,0.01040916,0.00007370229,0.001814354,0.0008019804,0.0001149506,0.0001623284,0.9864948],"genre_scores_gemma":[0.000002143723,0.00002549228,0.2652829,0.0002551688,0.0004450602,0.00002632867,0.000004254217,0.00006282468,0.7338958],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5360299,"threshold_uncertainty_score":0.9998778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3092028071510501,"score_gpt":0.4850439637925514,"score_spread":0.1758411566415014,"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."}}