{"id":"W4242269063","doi":"10.22215/etd/2015-11106","title":"Development of economic and reliable tool for condition survey and middle management of asphalt pavement","year":2015,"lang":"en","type":"dissertation","venue":"","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Schedule; Pavement management; Transport engineering; Track (disk drive); Global Positioning System; Exploit; Computer science; Visual inspection; Engineering; Artificial intelligence; Computer security; Telecommunications","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":[0.0007044654,0.0007943647,0.000848206,0.003281208,0.0003366843,0.001299515,0.001422892,0.001002866,0.004263197],"category_scores_gemma":[0.002096184,0.0004042874,0.0004666554,0.001799561,0.0002972922,0.002091141,0.0007601413,0.0005950607,0.002537253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004477764,"about_ca_system_score_gemma":0.0005939368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001880288,"about_ca_topic_score_gemma":0.002507385,"domain_scores_codex":[0.9987887,0.0001568214,0.00004410101,0.0002356118,0.0007058032,0.00006902128],"domain_scores_gemma":[0.9988304,0.0002539263,0.0001625218,0.0001978665,0.0005111506,0.0000441368],"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":[0.0001508161,0.0001770493,0.0131765,0.0004620591,0.0000651482,0.0002422043,0.0001687815,0.0168223,0.07671637,0.00534629,0.01260134,0.8740712],"study_design_scores_gemma":[0.00005602301,0.0005643482,0.03745802,0.0002876015,0.000184354,0.0009766073,0.0006948754,0.691089,0.1629859,0.01263281,0.09285725,0.0002132044],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02736935,0.001342483,0.9594138,0.0002778444,0.0001349776,0.0001694633,0.0007987421,0.005180419,0.005312872],"genre_scores_gemma":[0.4067507,0.001720246,0.5812712,0.000169501,0.0001308075,0.0003037281,0.001350058,0.0002359103,0.008067827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004263197,"threshold_uncertainty_score":0.01426178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01824256797896934,"score_gpt":0.2528160417070172,"score_spread":0.2345734737280478,"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."}}