{"id":"W4387935660","doi":"10.51189/coninters2023/24330","title":"COMERCIO DE CRÉDITO DE CARBONO: ANÁLISE DE ISENÇÃO TRIBUTÁRIA COMO INCENTIVO DO DESENVOLVIMENTO SUSTENTÁVEL","year":2023,"lang":"pt","type":"article","venue":"","topic":"Urban Arborization and Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Compute Canada","funders":"","keywords":"Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003425596,0.0003165292,0.0003311981,0.001876356,0.0007040516,0.002360823,0.0007223705,0.0005154627,0.005278204],"category_scores_gemma":[0.0108304,0.0001576502,0.0004444337,0.004680181,0.001181726,0.001562921,0.001585413,0.0006210352,0.0004200527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00279904,"about_ca_system_score_gemma":0.0034652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01540757,"about_ca_topic_score_gemma":0.02964373,"domain_scores_codex":[0.9975548,0.0008067253,0.0001791346,0.0003093602,0.0009446748,0.0002053517],"domain_scores_gemma":[0.9906564,0.004031258,0.002444817,0.0005838502,0.001912347,0.000371385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007470983,0.0002041954,0.8518034,0.001340428,0.0002797396,0.0003622182,0.01084586,0.004712117,0.008398751,0.02018968,0.001864798,0.09925161],"study_design_scores_gemma":[0.00001905044,0.0005023105,0.9293026,0.0003720694,0.0001402005,0.0002748112,0.016219,0.004072785,0.007116771,0.006515015,0.03541815,0.0000472624],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9625194,0.001076297,0.003650004,0.000663329,0.00002007707,0.0001958628,0.001220972,0.00003083216,0.03062315],"genre_scores_gemma":[0.9941566,0.0003659874,0.001550061,0.00003983976,0.000007148641,0.00006143552,0.0003014124,0.00001224478,0.003505232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01540757,"threshold_uncertainty_score":0.03063577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01899827742971485,"score_gpt":0.2501002611140072,"score_spread":0.2311019836842923,"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."}}