{"id":"W4312617850","doi":"10.14393/rbcv67n7-49200","title":"AVALIAÇÃO DA ACURÁCIA DOS ORTOMOSAICOS E MODELOS DIGITAIS DO TERRENO GERADOS PELO ΜVANT/DNPM","year":2019,"lang":"en","type":"article","venue":"Revista Brasileira de Cartografia","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Professional Engineers Ontario","funders":"","keywords":"Humanities; Physics; Art","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":[0.001420228,0.0006030098,0.0003709781,0.002476343,0.0003239315,0.001663334,0.0004098598,0.0004324229,0.001604709],"category_scores_gemma":[0.004385369,0.0003332445,0.0005375476,0.001958598,0.0003396627,0.0008902636,0.0007596022,0.0002557613,0.0005404287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005123707,"about_ca_system_score_gemma":0.0004446978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01579213,"about_ca_topic_score_gemma":0.02782847,"domain_scores_codex":[0.9992369,0.0001222404,0.00003768224,0.0001650806,0.0003622067,0.00007585296],"domain_scores_gemma":[0.9983266,0.0005062482,0.0002101312,0.0003820201,0.0005120044,0.00006299633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005243704,0.000120877,0.2350905,0.000468968,0.0001433733,0.0003927507,0.001806334,0.08434792,0.05548868,0.002033703,0.0008761554,0.6187065],"study_design_scores_gemma":[0.0000368691,0.0003988833,0.3802032,0.0002485333,0.0002723676,0.0008538628,0.003869699,0.5406481,0.0534159,0.001833471,0.01809638,0.0001228005],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9592624,0.0004102342,0.03174753,0.00005204592,0.00002434089,0.00004375435,0.0007335313,0.0008657377,0.006860372],"genre_scores_gemma":[0.971514,0.0002358484,0.02707786,0.00000575613,0.000005511348,0.00001452415,0.0003345564,0.00004713138,0.0007646699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01579213,"threshold_uncertainty_score":0.03140044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02141456446544904,"score_gpt":0.2424941349061767,"score_spread":0.2210795704407277,"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."}}