{"id":"W4385142732","doi":"10.5539/jsd.v16n4p135","title":"Analysis of the Profile of the Greenhouse Gas Emissions in Brazil","year":2023,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Sustainability; Environmental science; Work (physics); Regression analysis; Greenhouse; Climate change; Linear regression; Natural resource economics; Economics; Mathematics; Ecology; Statistics","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":[0.0005313258,0.0001472296,0.0002355384,0.001364545,0.0002304199,0.0007025549,0.0001833346,0.0001682085,0.0005341761],"category_scores_gemma":[0.002603059,0.000145582,0.0002435872,0.00210864,0.0002426124,0.0003491051,0.000432729,0.0001608072,0.0001082256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008763478,"about_ca_system_score_gemma":0.0007143531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04995202,"about_ca_topic_score_gemma":0.05757328,"domain_scores_codex":[0.9997371,0.00004851177,0.00002387914,0.00005752427,0.00009170602,0.00004142322],"domain_scores_gemma":[0.9991103,0.0002395228,0.000208121,0.00005501065,0.0003415979,0.00004551531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005746559,0.00002501414,0.9590053,0.00009712826,0.00007049027,0.0003187518,0.002758545,0.002538696,0.008366679,0.002664232,0.0003922561,0.0237055],"study_design_scores_gemma":[0.000001487598,0.0000248771,0.9885604,0.00002658705,0.00002063989,0.0001438779,0.002028887,0.003406783,0.001142338,0.0004004362,0.004228901,0.00001496536],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929644,0.0002963007,0.0008439149,0.0001095382,0.000003108491,0.00002223706,0.0009600136,0.00001476118,0.004785763],"genre_scores_gemma":[0.9986734,0.0001706873,0.0004411687,0.000006488604,0.000001271698,0.000008411175,0.0004526874,0.000005305975,0.0002406606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04995202,"threshold_uncertainty_score":0.09932256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00931832994515764,"score_gpt":0.2232235403618545,"score_spread":0.2139052104166969,"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."}}