{"id":"W4292965825","doi":"10.47820/recima21.v3i8.1769","title":"DIAGNOSTIC, CONSERVATION AND BRIDGE MONITORING – APPLICATION TO THE BRIDGE OVER THE KWANZA RIVER","year":2022,"lang":"en","type":"article","venue":"RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bridge (graph theory); Directive; Sustainable development; Business; Engineering; Construction engineering; Engineering ethics; Engineering management; Environmental resource management; Environmental planning; Computer science; Political science; Environmental science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001297272,0.0003117714,0.0002655579,0.00007220198,0.002124263,0.000257204,0.0007176663,0.0000627462,0.0004785069],"category_scores_gemma":[0.0003196426,0.0002310057,0.00010495,0.0007989563,0.0004154235,0.0002996629,0.001686091,0.0003052939,0.0004018765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005150991,"about_ca_system_score_gemma":0.00002442936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007855491,"about_ca_topic_score_gemma":0.00009543515,"domain_scores_codex":[0.9969685,0.0003529969,0.0005221489,0.0008357066,0.0008384031,0.0004822437],"domain_scores_gemma":[0.9980695,0.0004671132,0.0003043555,0.0009622207,0.00003371663,0.000163099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00014669,0.0002049384,0.9236111,0.00004416181,0.00004014592,0.0000113557,0.005678758,0.00186371,0.03196729,0.0008222621,0.01758159,0.01802799],"study_design_scores_gemma":[0.0003204865,0.00006814823,0.816374,0.00002257102,0.00004880723,0.00004510188,0.0002542321,0.001427106,0.0006451719,0.00008696553,0.1804418,0.0002656044],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919332,0.0001849002,0.001151919,0.003553143,0.0008889856,0.001873418,0.0001400656,0.00009932446,0.0001750371],"genre_scores_gemma":[0.997885,0.00007613626,0.0005164222,0.0002593169,0.0003384663,0.0006629142,0.00005242796,0.00004769718,0.0001616395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1628602,"threshold_uncertainty_score":0.9991748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01671514581930263,"score_gpt":0.2615740179023177,"score_spread":0.2448588720830151,"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."}}