{"id":"W2914649162","doi":"10.4324/9781315755649-2","title":"Analysis of Variance","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Observational study; Repeated measures design; Variance (accounting); Research design; Statistics; Sample size determination; Analysis of variance; Clinical study design; Psychology; Design of experiments; Sample (material); Econometrics; Variable (mathematics); Mathematics; Computer science; Medicine; Clinical trial","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001556758,0.000212912,0.0007197172,0.0003488219,0.00001365723,0.000005638437,0.000234788,0.0002802056,0.01832289],"category_scores_gemma":[0.0001083455,0.0001827007,0.0002602878,0.00008859941,0.0001374693,0.0000449444,0.0000857673,0.0001410844,0.00006977831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000408443,"about_ca_system_score_gemma":0.00002719625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005069169,"about_ca_topic_score_gemma":0.00005348277,"domain_scores_codex":[0.9990078,0.00000598309,0.0004163732,0.000239012,0.0002195709,0.0001112233],"domain_scores_gemma":[0.9983061,0.0002645713,0.0004097015,0.000740334,0.0002441792,0.00003511595],"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":[0.000002748981,0.00000783432,0.000003147785,0.0000317925,0.0008764621,0.000001790714,0.00003424431,2.908837e-7,0.00003433252,0.9932449,0.005196519,0.0005659247],"study_design_scores_gemma":[0.0000217476,0.00004698053,0.000002912436,0.00007226998,0.001583595,4.955631e-7,0.000002756371,0.00006099237,0.0007342077,0.9729003,0.02438307,0.0001906993],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000007697325,0.00002034815,0.2296452,0.000008780316,0.00002087048,0.0001056296,0.00003490248,0.0001905953,0.769966],"genre_scores_gemma":[0.0006661942,0.00005791763,0.1522639,0.00004534088,0.00004804918,0.000005373974,0.00001793418,0.0000417567,0.8468536],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07738126,"threshold_uncertainty_score":0.9825745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1716725679505134,"score_gpt":0.4059815696570885,"score_spread":0.234309001706575,"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."}}