{"id":"W4382359727","doi":"10.46450/revistafidelitas.v4i1.63","title":"Evaluación de impacto ambiental en el asentamiento expedito Ribeiro, Santa Bárbara – pará/Brasil","year":2023,"lang":"es","type":"article","venue":"","topic":"Agricultural and Food Sciences","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Humanities; Geography; Political science; Philosophy","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":[0.001020032,0.0003281895,0.0002613194,0.0006384946,0.001056667,0.0009877025,0.0003509491,0.0002353774,0.002301419],"category_scores_gemma":[0.00242448,0.0002084329,0.000234097,0.001187173,0.0007422005,0.0002537462,0.0006277278,0.0002656816,0.0002769038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0037153,"about_ca_system_score_gemma":0.003524112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4751537,"about_ca_topic_score_gemma":0.7437281,"domain_scores_codex":[0.999103,0.0003737134,0.00003269819,0.000147327,0.0002297326,0.0001135523],"domain_scores_gemma":[0.9984378,0.000445129,0.0002277687,0.0001226236,0.0006533035,0.0001132432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000771452,0.000454331,0.8015689,0.000999594,0.0002281428,0.000753994,0.03336152,0.003167916,0.01501415,0.003271052,0.004157233,0.1362518],"study_design_scores_gemma":[0.00001250277,0.0002920914,0.966824,0.0001913576,0.0001044326,0.00006124303,0.01492265,0.0007005335,0.001907606,0.0002161564,0.01474663,0.00002069578],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854774,0.0003631318,0.0005294149,0.0002034754,0.000006012011,0.0001368034,0.000608583,0.00002624584,0.01264897],"genre_scores_gemma":[0.9917185,0.0005676526,0.00177071,0.00003993689,0.000003151599,0.0001305862,0.0003894709,0.00001084752,0.005369043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4751537,"threshold_uncertainty_score":0.9447759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03012766492160028,"score_gpt":0.3165078714578586,"score_spread":0.2863802065362583,"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."}}