{"id":"W4395101331","doi":"10.29327/1304307.48-111","title":"ESTUDO DE CASO - USO DE ORTOIMAGEM PARA A DETERMINAÇÃO DO ÍNDICE DE CONDIÇÃO FUNCIONAL DE PAVIMENTO RÍGIDO AEROPORTUÁRIO","year":2023,"lang":"pt","type":"article","venue":"","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Future Earth","funders":"","keywords":"Humanities; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001219035,0.0007327077,0.0006056689,0.0003291105,0.0003823919,0.000295973,0.0005635381,0.0005128099,0.0007823579],"category_scores_gemma":[0.0001932689,0.0007664695,0.0003096392,0.0006465889,0.000119313,0.000316879,0.0002889236,0.0009188002,0.0005246654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001931243,"about_ca_system_score_gemma":0.0008026709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009341401,"about_ca_topic_score_gemma":0.0003379924,"domain_scores_codex":[0.9952809,0.000131041,0.0006973693,0.0006770198,0.0005434044,0.002670316],"domain_scores_gemma":[0.9981164,0.0002468415,0.000153099,0.000651104,0.0001270414,0.0007055382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003974703,0.0002773775,0.5524355,0.001912899,0.001767866,0.01979626,0.03814011,0.08993597,0.153692,0.004073342,0.1026676,0.03490359],"study_design_scores_gemma":[0.006135838,0.000819965,0.600454,0.001916342,0.001538117,0.004881103,0.02280013,0.1951871,0.08458316,0.00378405,0.07245475,0.005445506],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9564488,0.0006087309,0.03602637,0.0002854784,0.001531425,0.0004831573,0.00005912292,0.0009314776,0.00362545],"genre_scores_gemma":[0.9804888,0.0003228116,0.00791438,0.0005461835,0.001175902,0.0001379058,0.00004227721,0.0002069022,0.009164776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1052511,"threshold_uncertainty_score":0.9994786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02124457284418925,"score_gpt":0.2836017380428525,"score_spread":0.2623571651986633,"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."}}