{"id":"W2647920411","doi":"10.18677/encibio_2017a100","title":"USO E OCUPAÇÃO DA TERRA EM ÁREAS DE PRESERVAÇÃO PERMANENTE NO MUNICÍPIO ALTA FLORESTA, MATO GROSSO","year":2017,"lang":"pt","type":"article","venue":"Enciclopédia Biosfera","topic":"Geography and Environmental Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Forestry; Geography","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":[0.0002934478,0.0001785122,0.0001782218,0.001679257,0.0004973745,0.001053316,0.0002593199,0.0001775923,0.001372373],"category_scores_gemma":[0.0008304901,0.0001691043,0.0002214113,0.003632155,0.0004768446,0.0004022346,0.0006828682,0.0001430743,0.0001958709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008266195,"about_ca_system_score_gemma":0.0008616101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04232928,"about_ca_topic_score_gemma":0.1510937,"domain_scores_codex":[0.9997504,0.00003773012,0.00001697236,0.00006979334,0.00007471819,0.00005034909],"domain_scores_gemma":[0.9995055,0.0001167544,0.0001882815,0.00003904825,0.00009665021,0.00005382119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006443575,0.00001067804,0.96791,0.0001377653,0.00005184931,0.0002239765,0.002990388,0.0008976019,0.007736974,0.0005524338,0.0002224194,0.01920135],"study_design_scores_gemma":[5.961621e-7,0.00001432205,0.9957262,0.00001091518,0.00001658892,0.00008906558,0.001268578,0.0003270388,0.0007671935,0.00006048433,0.001715443,0.000003639697],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947802,0.0002424076,0.0005853699,0.00004285446,0.00000244987,0.00001082567,0.001113675,0.00003501624,0.003187216],"genre_scores_gemma":[0.9971879,0.0001439882,0.001193689,0.000005003252,0.000001561243,0.000008880203,0.0003346041,0.000007535345,0.001116901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04232928,"threshold_uncertainty_score":0.08416581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0240957536532749,"score_gpt":0.2616604688322217,"score_spread":0.2375647151789468,"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."}}