{"id":"W4307271916","doi":"","title":"MIXED MODEL REPEATED MEASURES ANALYSIS OF VARIANCE FOR MILK YIELD DATA","year":2019,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistics; Repeated measures design; Variance (accounting); Yield (engineering); Econometrics; Mathematics; Analysis of variance; Mixed-design analysis of variance; Economics; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02666035,0.002501184,0.003909032,0.002604133,0.001078717,0.002294269,0.003415373,0.001751658,0.01503007],"category_scores_gemma":[0.06547444,0.000704208,0.006458268,0.003943487,0.001026751,0.001901119,0.001460935,0.004585609,0.003853427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001362145,"about_ca_system_score_gemma":0.003255679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002829553,"about_ca_topic_score_gemma":0.003389128,"domain_scores_codex":[0.9667107,0.02154571,0.001528068,0.003905179,0.005538898,0.0007714226],"domain_scores_gemma":[0.9684826,0.01970153,0.003349598,0.004366175,0.003792639,0.0003074674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005654437,0.002445761,0.03969522,0.009415315,0.008757449,0.001608557,0.00429908,0.02972033,0.02275844,0.09175127,0.04670339,0.7371908],"study_design_scores_gemma":[0.001587475,0.02417362,0.1068156,0.003247501,0.007184824,0.002865326,0.002530589,0.3275902,0.03597526,0.1545902,0.3321227,0.001316649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01216298,0.001630562,0.9742896,0.0003421727,0.001115099,0.002529452,0.003192099,0.002120902,0.002617128],"genre_scores_gemma":[0.1129098,0.001896183,0.84593,0.0005840674,0.0005114622,0.02124628,0.006194955,0.001372419,0.009354754],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02666035,"threshold_uncertainty_score":0.1409951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4871290046980803,"score_gpt":0.5098890606822988,"score_spread":0.02276005598421849,"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."}}