{"id":"W2683857909","doi":"10.22237/jmasm/1209614460","title":"Confidence Intervals for the Squared Multiple Semipartial Correlation Coefficient","year":2008,"lang":"en","type":"article","venue":"Journal of Modern Applied Statistical Methods","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Mathematics; Confidence interval; Statistics; Correlation coefficient; Coverage probability; Mean squared error; CDF-based nonparametric confidence interval; Correlation; Robust confidence intervals; Fisher transformation; Linear regression; Correlation ratio; Population; Medicine","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"],"consensus_categories":[],"category_scores_codex":[0.002460051,0.0001833702,0.0004893845,0.00006754585,0.0001887856,0.0000268192,0.000308373,0.0001093954,0.00005940635],"category_scores_gemma":[0.009819233,0.0001217421,0.0001187861,0.00009645228,0.0002613004,0.00008317961,0.00005599446,0.0004188386,0.00000234926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001024708,"about_ca_system_score_gemma":0.00009406028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000188828,"about_ca_topic_score_gemma":0.000001464379,"domain_scores_codex":[0.9979401,0.0002663045,0.0009359595,0.0001779244,0.0004099849,0.0002697704],"domain_scores_gemma":[0.9722354,0.02636526,0.0006542984,0.0002521091,0.0003704753,0.0001223991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007737745,0.0002324794,0.00002725969,0.00006778351,0.00009895034,0.00001571807,0.001554751,0.002676901,0.0234001,0.8307807,0.003841964,0.1365296],"study_design_scores_gemma":[0.00053943,0.0002013025,0.00009248124,0.00003355154,0.00008892827,0.00008312136,0.00007539301,0.251422,0.01237101,0.7345299,0.0004437143,0.0001192237],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005230071,0.00009149179,0.9980856,0.0001206532,0.0002218405,0.0005995921,0.00003872859,0.00005351452,0.0002656174],"genre_scores_gemma":[0.4127099,0.0000169136,0.5870401,0.00006650826,0.00007890011,0.00004240833,0.000001495384,0.00001911376,0.00002471354],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4121868,"threshold_uncertainty_score":0.9985215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2641471578532747,"score_gpt":0.4940862968512094,"score_spread":0.2299391389979347,"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."}}