{"id":"W2153239776","doi":"10.5539/jsd.v5n3p84","title":"An Input-Output Analysis with an Environmentally Adjusted Agricultural and Forestry Sector in Bangladesh","year":2012,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Social accounting matrix; Environmental degradation; Natural resource economics; Environmentally friendly; Business; National accounts; Agricultural economics; Environmental quality; Valuation (finance); Environmental accounting; Allowance (engineering); Damages; Population; Resource (disambiguation); Consumption (sociology); Economics; Geography; Accounting; Operations management; Ecology","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":[0.001043874,0.0002756356,0.00038518,0.0002311878,0.0001706069,0.00008236775,0.0002844687,0.0001063131,0.0005397235],"category_scores_gemma":[0.00002126698,0.0001937989,0.00006397086,0.0006382554,0.0001886836,0.002436197,0.000181283,0.0002808164,0.000006271775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002077217,"about_ca_system_score_gemma":0.00006603813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000181248,"about_ca_topic_score_gemma":0.0001831273,"domain_scores_codex":[0.9976526,0.0001273998,0.0005553492,0.0002637919,0.0006300831,0.0007707789],"domain_scores_gemma":[0.9988179,0.00002688215,0.0002931332,0.0002237057,0.00002010447,0.0006182254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001626598,0.0007245162,0.9868893,0.00002460636,0.0001097644,0.000128943,0.006722838,0.002774797,0.000713169,0.0000167287,0.00003554319,0.001697157],"study_design_scores_gemma":[0.0007334337,0.0004397462,0.9524612,0.000008218964,0.0001133219,0.00009657986,0.04385708,0.00007284053,0.001053542,0.00003084824,0.0008398243,0.0002933227],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989631,0.0001018115,0.0001693585,0.00006807491,0.00002183106,0.0002841685,0.000001165075,0.000009559282,0.0003809546],"genre_scores_gemma":[0.9940052,0.00001549128,0.005197482,0.0001063681,0.00004073063,0.00001271741,0.00001528703,0.0000174636,0.0005892424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03713424,"threshold_uncertainty_score":0.790289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007952921005352576,"score_gpt":0.211997938924732,"score_spread":0.2040450179193794,"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."}}