{"id":"W2118065619","doi":"","title":"GENERIC PROTOCOL FOR LONG LIFE PAVEMENTS COST ANALYSIS","year":2003,"lang":"en","type":"article","venue":"","topic":"Life Cycle Costing Analysis","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Protocol (science); Life-cycle cost analysis; Computer science; Operations research; Transport engineering; Engineering; Reliability engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000565441,0.0002043681,0.0003233676,0.0005768961,0.0002473213,0.0004154607,0.0002366566,0.00005543133,0.001628471],"category_scores_gemma":[0.0006324766,0.0001739605,0.0003317631,0.002390392,0.00002240431,0.0005174651,0.00006843467,0.00005591536,0.0002856292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003747433,"about_ca_system_score_gemma":0.00002764668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002448305,"about_ca_topic_score_gemma":0.000230114,"domain_scores_codex":[0.9984909,0.00001563419,0.0004029033,0.0004123303,0.0002918662,0.00038635],"domain_scores_gemma":[0.9989585,0.00005386212,0.0002729283,0.0003913405,0.000292403,0.00003098357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003116188,0.0002528389,0.9573222,0.0002458617,0.001604532,0.000003782312,0.000008557809,0.003202619,0.00005568382,0.005676476,0.02872751,0.002868802],"study_design_scores_gemma":[0.004456533,0.00002007808,0.07021882,0.00003534578,0.00431654,4.422212e-7,0.0002245089,0.1261485,0.0004780533,0.00123434,0.7916947,0.001172138],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.03499388,0.00001464201,0.4231631,0.001566099,0.0004001996,0.3562765,0.000008771615,0.001178909,0.182398],"genre_scores_gemma":[0.4510482,4.34646e-7,0.004956688,0.0105919,0.001261745,0.5245057,0.0001091512,0.00009165248,0.007434545],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.8871034,"threshold_uncertainty_score":0.9992841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06772026965899668,"score_gpt":0.3069961613411761,"score_spread":0.2392758916821794,"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."}}