{"id":"W1975505422","doi":"10.1061/41167(398)25","title":"Preserving Our Airfield Pavements","year":2011,"lang":"en","type":"article","venue":"","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Golder Associates (Canada)","funders":"","keywords":"Preventive maintenance; Prioritization; Identification (biology); Planned maintenance; Transport engineering; Risk analysis (engineering); Engineering; Operations management; Business; Reliability engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.00002706445,0.00006284565,0.00004937732,0.00002387451,0.00001961614,0.000007651782,0.00009574668,0.00003196819,0.0002188468],"category_scores_gemma":[0.000004093109,0.00005308114,0.00001920361,0.0000349258,0.000001754903,0.00008991231,0.00002654972,0.00006624442,0.00004890516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001126172,"about_ca_system_score_gemma":0.000001897987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003839143,"about_ca_topic_score_gemma":0.000008853386,"domain_scores_codex":[0.9996541,0.000001904075,0.00007216505,0.00005714417,0.00004998034,0.0001647484],"domain_scores_gemma":[0.9998283,0.000001721923,0.000005188322,0.000122368,0.00001210675,0.00003036281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005556773,0.0001233889,0.2808376,0.0008279342,0.0007945503,0.000240364,0.02079011,0.008040532,0.1386706,0.03232337,0.3806007,0.1366953],"study_design_scores_gemma":[0.0008211849,0.00009871068,0.08774401,0.0001329454,0.00003338587,0.00001449271,0.004381,0.007482804,0.8493481,0.006325529,0.04265137,0.0009665129],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2062084,0.0000479612,0.01408466,0.00001836875,0.002117696,0.00009331282,7.580685e-7,0.0005847175,0.7768441],"genre_scores_gemma":[0.994986,0.000007578809,0.003694161,0.00004697705,0.0001536117,0.000005616651,4.093304e-7,0.00001256464,0.001093109],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7887775,"threshold_uncertainty_score":0.2396219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02205641202556253,"score_gpt":0.1941908578261806,"score_spread":0.1721344458006181,"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."}}