{"id":"W2072406245","doi":"10.3141/1889-09","title":"Integration of Ramps into Pavement Management Systems","year":2004,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pavement management; Transport engineering; Asset management; Agency (philosophy); Scope (computer science); Asset (computer security); Identification (biology); Engineering; Computer science; Business","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":[],"consensus_categories":[],"category_scores_codex":[0.002299461,0.0002014569,0.0003524557,0.0008819519,0.0002481534,0.00007599661,0.0006928403,0.0001279401,0.00003645707],"category_scores_gemma":[0.00002955783,0.0001489912,0.0002414809,0.001308934,0.0002646976,0.000422848,0.000005018837,0.001265491,0.000007881131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004779768,"about_ca_system_score_gemma":0.0001510398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003741477,"about_ca_topic_score_gemma":0.005391565,"domain_scores_codex":[0.9951966,0.0002387823,0.001244627,0.0002067117,0.002530619,0.0005827057],"domain_scores_gemma":[0.9971985,0.0001580593,0.0002275018,0.0003628002,0.001867863,0.0001852856],"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":[0.001231558,0.0004036796,0.03524813,0.003979413,0.001066571,0.0003377025,0.01916774,0.6289364,0.1899936,0.06820441,0.004660186,0.04677063],"study_design_scores_gemma":[0.004371305,0.001006744,0.853705,0.003473129,0.0001407341,0.000001579925,0.01643897,0.0008233327,0.08341641,0.02023106,0.01589439,0.0004973287],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9688946,0.0003557345,0.02770871,0.0003688788,0.001428779,0.0008710679,0.00001705033,0.0000365372,0.0003186297],"genre_scores_gemma":[0.9933583,0.001358774,0.004837161,0.000006961261,0.0001894976,0.00006522983,0.00001064011,0.00004495796,0.0001284929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8184569,"threshold_uncertainty_score":0.6075683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04088096609509801,"score_gpt":0.333205015373972,"score_spread":0.292324049278874,"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."}}