{"id":"W2123520859","doi":"10.1177/0013164407313371","title":"Note on a Confidence Interval for the Squared Semipartial Correlation Coefficient","year":2008,"lang":"en","type":"article","venue":"Educational and Psychological Measurement","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Statistics; Confidence interval; Percentile; Mathematics; Coverage probability; Correlation coefficient; Sample size determination; Correlation; Mean squared error; Regression analysis; Linear regression; Interval (graph theory); Combinatorics","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":[0.005313695,0.0001196947,0.000169482,0.0001011306,0.0005216816,0.0000744916,0.0003758988,0.00006290196,0.0003545678],"category_scores_gemma":[0.04288302,0.00006127334,0.00009273494,0.0004622311,0.0001942408,0.00004630456,0.00003217218,0.0001491296,0.00006251136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004525774,"about_ca_system_score_gemma":0.00005107986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007214739,"about_ca_topic_score_gemma":0.000002033746,"domain_scores_codex":[0.9972832,0.0002801901,0.0004605545,0.0004783163,0.001293839,0.0002039667],"domain_scores_gemma":[0.9799644,0.01892828,0.0001980473,0.0003023308,0.0005086256,0.00009830914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001965704,0.00312241,0.06542368,0.00001414491,0.00008606559,0.000004207567,0.003875983,0.004963069,0.001535176,0.06851897,0.2899708,0.5605198],"study_design_scores_gemma":[0.0006899783,0.0008513317,0.9083482,0.00002778827,0.00001245865,0.00005044801,0.0002736779,0.004612749,0.00006757559,0.0443403,0.04055523,0.0001702304],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3434816,0.001336987,0.6019623,0.03777026,0.007047055,0.001146441,0.00002128696,0.00005005833,0.007184085],"genre_scores_gemma":[0.9944158,0.00002717125,0.00330133,0.0013141,0.0003824347,0.0001178469,0.000002164316,0.000003689284,0.0004355001],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8429245,"threshold_uncertainty_score":0.9651792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7435488238248646,"score_gpt":0.511461499220875,"score_spread":0.2320873246039896,"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."}}