{"id":"W4318998540","doi":"10.1002/cjs.11758","title":"A tale of two variances","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variance (accounting); Fisher information; Interpretation (philosophy); Statistics; Mathematics; Parametric statistics; Sampling (signal processing); Inverse; Population variance; Parametric model; Population; Sample variance; Applied mathematics; Econometrics; Computer science; Demography; Geometry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.009503512,0.0007725643,0.0008684307,0.002002184,0.00217479,0.00755393,0.00165352,0.003404314,0.01320654],"category_scores_gemma":[0.03560491,0.0006379146,0.001078647,0.001179857,0.01395305,0.008453868,0.004309339,0.007339494,0.002021351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002580057,"about_ca_system_score_gemma":0.0013625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002804402,"about_ca_topic_score_gemma":0.001470939,"domain_scores_codex":[0.9925627,0.003422145,0.0002762161,0.001339016,0.002003617,0.0003964586],"domain_scores_gemma":[0.9873992,0.007953065,0.0003901457,0.002276768,0.001683714,0.0002971261],"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":[0.00001421179,0.000004330061,0.0001291598,0.00001300962,0.00001107502,0.00004471529,0.0002971646,0.0004247924,0.0001056961,0.9860703,0.004053873,0.008831598],"study_design_scores_gemma":[0.0000122602,0.00001347739,0.0002550852,0.00003565601,0.00001010383,0.0001000961,0.0001593832,0.002813219,0.0001742758,0.9645873,0.03181247,0.00002678097],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01758638,0.006362143,0.6680179,0.08321455,0.005818643,0.00008577191,0.0004556559,0.0008151028,0.2176439],"genre_scores_gemma":[0.6853447,0.003346419,0.1867225,0.0207456,0.00597606,0.0004241138,0.0003395521,0.001337895,0.09576311],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01320654,"threshold_uncertainty_score":0.05026001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01330946475252949,"score_gpt":0.2369832849078676,"score_spread":0.2236738201553381,"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."}}