{"id":"W2904295877","doi":"10.5102/pic.n3.2017.5774","title":"LEVANTAMENTO E CADASTRAMENTO DE PATOLOGIAS ESTRUTURAIS UTILIZANDO FOTOGRAFIAS TERMOGRÁFICAS E DRONES NA COMPOSIÇÃO DE BANCO GEOGRÁFICOS","year":2018,"lang":"pt","type":"article","venue":"Programa de Iniciação Científica - PIC/UniCEUB - Relatórios de Pesquisa","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Adidas (Canada)","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":[0.0005817575,0.0005572097,0.0007014384,0.001277606,0.0007250089,0.001661341,0.0005099618,0.0008780872,0.002999271],"category_scores_gemma":[0.001033306,0.0003438452,0.0007461872,0.001498432,0.0005857766,0.001157636,0.0006149067,0.0008410176,0.0009535295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009318183,"about_ca_system_score_gemma":0.0007146901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007400909,"about_ca_topic_score_gemma":0.01243364,"domain_scores_codex":[0.9993327,0.00005724625,0.00003470333,0.0001980916,0.0002979049,0.00007934767],"domain_scores_gemma":[0.9992386,0.0001560139,0.0001446113,0.0000803978,0.0003291136,0.00005131879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003476594,0.0000780276,0.01730289,0.001006191,0.00007278453,0.0002494648,0.0005888614,0.001997365,0.9161026,0.000874986,0.0006394252,0.06073983],"study_design_scores_gemma":[0.00002198963,0.001227004,0.09523722,0.0002663989,0.0003411179,0.0009018977,0.002164886,0.00706212,0.8175339,0.00196025,0.07315322,0.0001299645],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9421453,0.01159423,0.0286235,0.0004046032,0.0002182964,0.0001391151,0.002132067,0.0004342518,0.0143087],"genre_scores_gemma":[0.9570555,0.006539846,0.01921116,0.0002246972,0.0000308934,0.0001958683,0.001368403,0.0001445404,0.01522912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007400909,"threshold_uncertainty_score":0.01471567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01813189825488365,"score_gpt":0.2852183874230534,"score_spread":0.2670864891681698,"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."}}