{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001659745,0.001097762,0.001216136,0.0001070891,0.00302396,0.001800708,0.001704436,0.0004943109,0.001641378],"category_scores_gemma":[0.0004133027,0.001109645,0.0009603563,0.0002784721,0.001706038,0.0006437014,0.001140996,0.0008276246,0.00058347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002028966,"about_ca_system_score_gemma":0.0001686282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003048889,"about_ca_topic_score_gemma":0.001609426,"domain_scores_codex":[0.993182,0.0005234897,0.001043146,0.001365102,0.0009336664,0.002952569],"domain_scores_gemma":[0.9955481,0.0001975147,0.0008864897,0.001970883,0.00002679272,0.001370179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002328345,0.0005357601,0.9537764,0.000208115,0.0003541832,0.0004200256,0.003941973,0.0001814276,0.02374948,0.0001368121,0.005393682,0.01106935],"study_design_scores_gemma":[0.001834721,0.0003350198,0.9504963,0.0003971144,0.0006862567,0.0001458455,0.002423462,0.0005023116,0.001638773,0.0001006332,0.04028945,0.001150174],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988802,0.006291966,0.00114608,0.0004064422,0.0002150099,0.001237096,0.0006669881,0.0001143516,0.001120055],"genre_scores_gemma":[0.995328,0.001587611,0.0005059788,0.000889065,0.0002978676,0.0003051897,0.00005096431,0.0001179009,0.0009173906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03489577,"threshold_uncertainty_score":0.9992713,"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."}}