{"id":"W2036598575","doi":"10.1016/j.envres.2012.08.006","title":"Survey data with sampling weights: Is there a “best\" approach?","year":2012,"lang":"en","type":"letter","venue":"Environmental Research","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Inequality; Per capita; Sustainability; Panel data; Geography; Photovoltaic system; Business; Demographic economics; Economic growth; Regional science; Economics; Public economics; Econometrics; Demography; Engineering; Mathematics; Sociology; Population","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002347258,0.0005747627,0.0004041582,0.0002040513,0.0005097919,0.000214748,0.003339488,0.0005845517,0.04524264],"category_scores_gemma":[0.00003830177,0.0004416795,0.00007690435,0.0004585155,0.001530892,0.0006605001,0.005156561,0.003231295,0.04246647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006313518,"about_ca_system_score_gemma":0.00002567186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004049062,"about_ca_topic_score_gemma":0.0001278994,"domain_scores_codex":[0.9925973,0.0007757834,0.0003382625,0.001507287,0.002960392,0.001821],"domain_scores_gemma":[0.9960638,0.000417663,0.0001343324,0.003120627,0.000003437784,0.0002601287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003127383,0.0002161718,0.09690809,0.00005531979,0.00008643269,0.00005088702,0.0002446835,0.000008029731,0.000009547736,0.000002541458,0.8973277,0.005059283],"study_design_scores_gemma":[0.0002690813,0.0001268977,0.03387055,0.00003656555,0.00003906067,0.00001057425,0.00004529478,0.0003384911,0.000008229684,0.00007101035,0.9646101,0.000574171],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.09392348,0.005808098,0.0003840868,0.1521085,0.0006361535,0.007287716,0.007538107,0.000273605,0.7320402],"genre_scores_gemma":[0.1042579,0.003024725,0.006016671,0.1996156,0.007904527,0.0005293004,0.03504274,0.000983745,0.6426248],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08941546,"threshold_uncertainty_score":0.9998035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1863929965284457,"score_gpt":0.35146124847486,"score_spread":0.1650682519464143,"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."}}