{"id":"W2613399904","doi":"10.14393/rbcv69n2-44016","title":"INFLUÊNCIA DO NÚMERO E DISTRIBUIÇÃO DE PONTOS DE CONTROLE EM ORTOFOTOS GERADAS A PARTIR DE UM LEVANTAMENTO POR VANT","year":2017,"lang":"pt","type":"article","venue":"Revista Brasileira de Cartografia","topic":"Geography and Environmental Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Monsanto (Canada)","funders":"","keywords":"Physics; Humanities; 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":[0.0004710372,0.0003811137,0.0006097581,0.0004993558,0.0004197969,0.001397099,0.000445925,0.0004584571,0.001711906],"category_scores_gemma":[0.0006993262,0.0003105661,0.000468129,0.0005385762,0.0005369034,0.0004168351,0.0004643341,0.0004713136,0.0002039653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001107307,"about_ca_system_score_gemma":0.0006187483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02192236,"about_ca_topic_score_gemma":0.03558145,"domain_scores_codex":[0.9992186,0.0001159206,0.00004203187,0.0002781569,0.0001983864,0.0001470054],"domain_scores_gemma":[0.9992583,0.0001684282,0.0001866931,0.00004682696,0.000214537,0.0001251746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00404717,0.0004226195,0.08092131,0.0005904465,0.0001649685,0.0002418466,0.001597273,0.00136182,0.8808765,0.0004084805,0.0002409161,0.02912663],"study_design_scores_gemma":[0.00005937899,0.008503077,0.7307023,0.0001416477,0.0003026908,0.0002642006,0.004489732,0.004320524,0.2355343,0.0003332682,0.01528203,0.00006679515],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979606,0.0005295451,0.0004094389,0.00002293783,0.00001295509,0.00001897063,0.0001274841,0.00001457199,0.0009035269],"genre_scores_gemma":[0.9925449,0.0004989853,0.001239407,0.00004206267,0.000004063259,0.00003638277,0.0002666288,0.00001279438,0.00535486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02192236,"threshold_uncertainty_score":0.04358947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0151040056495228,"score_gpt":0.2610043490067703,"score_spread":0.2459003433572475,"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."}}