{"id":"W4366003043","doi":"10.5539/ijef.v15n5p54","title":"The Use of Information Technology in Environmental Management: The Case of Brazilian Amazon Forest","year":2023,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Amazon rainforest; Deforestation (computer science); Counterfactual thinking; Government (linguistics); Commodity; Rainforest; Natural resource economics; Geography; Agricultural economics; Business; Economics; Ecology; Finance","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":[0.002594456,0.0002104325,0.0002342732,0.001007691,0.001931652,0.003585161,0.0007367742,0.001605968,0.002257946],"category_scores_gemma":[0.008756262,0.0002153256,0.0003860975,0.002517042,0.002598884,0.003370037,0.001399291,0.001078686,0.0001228189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005302554,"about_ca_system_score_gemma":0.002191352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1603997,"about_ca_topic_score_gemma":0.1703521,"domain_scores_codex":[0.9985442,0.0008658751,0.00003943136,0.00007857554,0.0001954312,0.0002765437],"domain_scores_gemma":[0.9931105,0.005190019,0.000721768,0.0002353448,0.0003888686,0.0003533523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002793108,0.0006394997,0.1585741,0.0004763212,0.0001361411,0.01043141,0.01298564,0.06511948,0.001662732,0.6628406,0.00630693,0.08054782],"study_design_scores_gemma":[0.000283187,0.0004054869,0.229786,0.001084562,0.0003905283,0.003212878,0.05569923,0.3523448,0.001809051,0.2486095,0.1062121,0.0001628789],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8506754,0.0071007,0.005059159,0.01868511,0.00002883513,0.00005419958,0.000150088,0.00002631527,0.1182202],"genre_scores_gemma":[0.9974686,0.0009642405,0.0007476214,0.00008653264,0.00001126659,0.000006902329,0.00001526313,0.000002584324,0.0006968989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1603997,"threshold_uncertainty_score":0.3189322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03715807195970626,"score_gpt":0.2034084147269302,"score_spread":0.1662503427672239,"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."}}