{"id":"W7096193617","doi":"","title":"APPLICATION OF PAVEMENT MANAGEMENT TOOLS IN THE PROCESS OF CONSTRAINED REGIONAL INVESTMENT PLANS –","year":2015,"lang":"en","type":"article","venue":"","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Investment (military); Pavement management; Asset management; Process (computing); Christian ministry; Ministry of Transport; Asset (computer security); Plan (archaeology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01000155,0.001052425,0.0007443363,0.003576283,0.0009713562,0.005389514,0.001959094,0.0008124181,0.007698277],"category_scores_gemma":[0.02181049,0.0008086528,0.0009114007,0.002716375,0.001321235,0.003744543,0.002144565,0.001429427,0.0007198965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004296233,"about_ca_system_score_gemma":0.00632601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0135053,"about_ca_topic_score_gemma":0.017217,"domain_scores_codex":[0.9954432,0.002488947,0.0002629357,0.0004678654,0.001075994,0.0002610538],"domain_scores_gemma":[0.9883987,0.006909122,0.001416051,0.001504433,0.001521662,0.0002501212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000119279,0.0001314411,0.004567597,0.0002934427,0.0000925892,0.0002833065,0.001266147,0.6109324,0.001437331,0.1426914,0.003711993,0.2344731],"study_design_scores_gemma":[0.00006916915,0.0001880576,0.003049661,0.0003746255,0.00004919968,0.0001858935,0.001537091,0.8261208,0.005026452,0.09881712,0.06446011,0.00012195],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03947779,0.0004091221,0.9173118,0.00102166,0.00005079867,0.0007994001,0.0006802636,0.001844032,0.03840514],"genre_scores_gemma":[0.2773672,0.0002608496,0.7191455,0.00005117354,0.00001290146,0.000363704,0.0004935965,0.0002400887,0.002064993],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0135053,"threshold_uncertainty_score":0.05289394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02046733603230105,"score_gpt":0.2455181024009928,"score_spread":0.2250507663686918,"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."}}