{"id":"W4406620846","doi":"10.1139/cjce-2024-0217","title":"Integrating smart city technologies for sustainable pavement infrastructure","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Samsung Eletrônica da Amazônia","keywords":"Big data; Automation; Smart city; Computer science; Robotics; Internet of Things; Sociotechnical system; Industry 4.0; Engineering; Engineering management; Artificial intelligence; Computer security; Robot","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006646186,0.0004041419,0.0002162554,0.001334823,0.0009551366,0.003434366,0.0008950508,0.001453529,0.007659109],"category_scores_gemma":[0.001242791,0.000268564,0.0004968198,0.001223442,0.002167836,0.004836203,0.003775093,0.001195187,0.001487087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00205017,"about_ca_system_score_gemma":0.00186072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005893577,"about_ca_topic_score_gemma":0.01199694,"domain_scores_codex":[0.9993931,0.0001446035,0.00002255011,0.0000690367,0.0002727995,0.00009789046],"domain_scores_gemma":[0.9994994,0.0001418512,0.00004365464,0.0001341947,0.0001253813,0.00005557388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002274977,0.00007134016,0.002319562,0.0003109206,0.00003620999,0.0003125567,0.001327736,0.03066011,0.007198854,0.7241844,0.01086374,0.2226919],"study_design_scores_gemma":[0.00001063376,0.00007950142,0.002085153,0.0002486251,0.00003979355,0.0004012496,0.002529117,0.04505613,0.007756311,0.4224213,0.5193054,0.00006682603],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04988279,0.005534445,0.5620055,0.02041631,0.0007604675,0.0002081556,0.0004997919,0.002216761,0.3584757],"genre_scores_gemma":[0.7530103,0.00740495,0.200839,0.001173814,0.0002019084,0.0001672288,0.0004748263,0.0002011498,0.03652688],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007659109,"threshold_uncertainty_score":0.02562225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003047056067795846,"score_gpt":0.183994431848594,"score_spread":0.1809473757807982,"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."}}