{"id":"W7097984627","doi":"","title":"Benefit–cost Assessment of Automatic Vehicle Location (AVL","year":2003,"lang":"en","type":"article","venue":"","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Software deployment; Highway maintenance; Investment (military); Data collection; Key (lock); Automatic vehicle location; Cost–benefit analysis; State (computer science)","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":[0.003995575,0.0006254835,0.0003733248,0.002897522,0.000283166,0.0008705544,0.0006264285,0.0006021426,0.003767908],"category_scores_gemma":[0.01731458,0.0003078065,0.0007815765,0.002406651,0.0004517057,0.001261081,0.0008725637,0.0004655766,0.0002474241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003165346,"about_ca_system_score_gemma":0.001035521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004324333,"about_ca_topic_score_gemma":0.007936007,"domain_scores_codex":[0.9950212,0.002884636,0.0001230664,0.0001565107,0.001599401,0.0002150613],"domain_scores_gemma":[0.9820754,0.01355606,0.001314096,0.0005072243,0.002318815,0.0002283509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003756038,0.0009457579,0.1500059,0.001410029,0.0008295142,0.0006187249,0.0004497811,0.5163637,0.004669821,0.02251951,0.002911945,0.2955193],"study_design_scores_gemma":[0.0003007557,0.009820186,0.3745328,0.0002547398,0.001048562,0.0009102673,0.001797518,0.5723391,0.006354833,0.01752759,0.01490847,0.0002051353],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9534045,0.001869874,0.01718237,0.0006744315,0.00003773631,0.0006161024,0.002008035,0.00005610037,0.02415085],"genre_scores_gemma":[0.9944085,0.0002867694,0.003981178,0.00002522022,0.00001765484,0.0000993756,0.0003334202,0.000007101184,0.0008406548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004324333,"threshold_uncertainty_score":0.02296633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007998720244932304,"score_gpt":0.2316478100243679,"score_spread":0.2236490897794356,"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."}}