{"id":"W4403630287","doi":"10.1139/cjfr-2024-0070","title":"Small area estimators in a simulation test","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"HORIZON EUROPE Climate, Energy and Mobility; HORIZON EUROPE Framework Programme; Academy of Finland; European Commission","keywords":"Estimator; Statistics; Environmental science; Mathematics; Forestry; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005529847,0.000065229,0.0001381862,0.002615761,0.0001469685,0.0006377436,0.0006145219,0.00007441305,0.0004493388],"category_scores_gemma":[0.007687207,0.00004942862,0.00007818823,0.002618885,0.0001404487,0.0002508065,0.00002149808,0.0004955893,0.0001393123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002707436,"about_ca_system_score_gemma":0.001995748,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002753377,"about_ca_topic_score_gemma":0.08614193,"domain_scores_codex":[0.997986,0.0001084758,0.000590228,0.0001825316,0.0008114171,0.0003214012],"domain_scores_gemma":[0.9937083,0.004525317,0.0000664421,0.0002713385,0.0009331175,0.0004955575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007717022,0.00002546751,0.7638763,0.000009335386,0.000006344604,0.0004084514,0.0006741831,0.1369182,0.00004120236,0.01427804,0.01427487,0.06947989],"study_design_scores_gemma":[0.0001676577,0.0001594742,0.3025901,0.0002068648,0.000003190329,0.00004453154,0.0003171221,0.3328117,0.0000754076,0.1913585,0.1721494,0.0001161406],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783182,0.0005768306,0.0119666,0.003306753,0.0001418174,0.0002383448,0.00001852395,0.00001365755,0.005419331],"genre_scores_gemma":[0.9981937,0.000004494684,0.0007802912,0.00002694241,0.00009409663,0.00000644459,0.000001260117,0.00001009831,0.0008826579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4612862,"threshold_uncertainty_score":0.9305336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4016587765808298,"score_gpt":0.5097578954854528,"score_spread":0.108099118904623,"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."}}