{"id":"W2033133921","doi":"10.1139/f06-178","title":"Variance estimation in integrated assessment models and its importance for hypothesis testing","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Exxon Mobil Corporation","keywords":"Statistics; Mathematics; Likelihood function; Restricted maximum likelihood; Variance (accounting); Likelihood-ratio test; Population; Econometrics; Estimation theory","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gpt","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"grok","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"opus","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07519448,0.001683675,0.003592228,0.003590372,0.001303256,0.004212148,0.003654356,0.00331785,0.001790998],"category_scores_gemma":[0.2950749,0.001458844,0.002364165,0.00384006,0.008080232,0.008332953,0.004915087,0.00633452,0.0003830113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002219788,"about_ca_system_score_gemma":0.002922644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002906492,"about_ca_topic_score_gemma":0.001852761,"domain_scores_codex":[0.9316419,0.05353544,0.00211193,0.005020005,0.006943912,0.0007467964],"domain_scores_gemma":[0.7055261,0.275053,0.006351084,0.007581803,0.005042419,0.0004456379],"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":[0.0001034331,0.00007225132,0.005007331,0.0005208126,0.0004735577,0.0002536381,0.0005831882,0.1503423,0.0008156018,0.7184142,0.001649219,0.1217644],"study_design_scores_gemma":[0.00002164364,0.00006202802,0.0007907629,0.0001264022,0.00004994464,0.00007647445,0.00006017979,0.2215828,0.0004572746,0.7749054,0.001823807,0.00004332265],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002029623,0.0005261308,0.9963413,0.0003372072,0.00004766276,0.00003204415,0.0000225202,0.00005928796,0.0006041913],"genre_scores_gemma":[0.2161878,0.002126889,0.7781813,0.0004823977,0.0004163588,0.001013425,0.0002291188,0.0002395134,0.001123028],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07519448,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1432128187584955,"score_gpt":0.3599358491468565,"score_spread":0.216723030388361,"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."}}