{"id":"W4247305157","doi":"10.1002/9780471773757.ch5","title":"ANOVA Model","year":2005,"lang":"en","type":"other","venue":"Wiley series in probability and statistics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Estimator; Statistics; Mathematics; Nonparametric statistics; Confidence interval; Mean squared error; Quadratic equation; Estimation; Analysis of variance; Econometrics; Applied mathematics; Engineering","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":[0.003774269,0.00209554,0.002352323,0.002086384,0.0007410012,0.003975898,0.002649484,0.001946009,0.06701487],"category_scores_gemma":[0.01143849,0.000574941,0.002934392,0.002434276,0.0009765169,0.002927735,0.001727251,0.002696409,0.03046031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001875137,"about_ca_system_score_gemma":0.00265018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005614933,"about_ca_topic_score_gemma":0.00550596,"domain_scores_codex":[0.9948168,0.001647365,0.0002844052,0.001472287,0.001459806,0.0003192881],"domain_scores_gemma":[0.9950807,0.002189081,0.0003948624,0.001009158,0.001204596,0.0001215065],"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":[0.0003945857,0.0003435799,0.005527978,0.000744594,0.0005328491,0.000380984,0.0003518533,0.05638129,0.002474733,0.6244514,0.087566,0.2208501],"study_design_scores_gemma":[0.0001438655,0.0007050575,0.007883813,0.0003493709,0.0004399138,0.0007966824,0.0002520305,0.2065778,0.001927459,0.5734153,0.2073109,0.0001978082],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01016966,0.003023275,0.862238,0.002377371,0.002388255,0.0005875473,0.01942201,0.002995005,0.09679897],"genre_scores_gemma":[0.321052,0.006481493,0.3354831,0.00422836,0.002513342,0.003352058,0.02928014,0.002385065,0.2952244],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06701487,"threshold_uncertainty_score":0.2241871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05674530726908807,"score_gpt":0.3389316367520468,"score_spread":0.2821863294829587,"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."}}