{"id":"W2057493281","doi":"10.4028/www.scientific.net/amm.148-149.1543","title":"Research on the Evaluation Method of Energy-Saving Technology about Traffic and Transportation","year":2011,"lang":"en","type":"article","venue":"Applied Mechanics and Materials","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Transportation of Ontario","funders":"","keywords":"Analytic hierarchy process; Delphi method; Evaluation methods; Promotion (chess); Transport engineering; Delphi; Index (typography); Fuzzy logic; Energy (signal processing); Environmental economics; Engineering; Operations research; Computer science; Risk analysis (engineering); Business; Reliability engineering; Economics; Mathematics; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005219614,0.000748484,0.0005664522,0.004119021,0.0007352417,0.002383872,0.0007138358,0.0005908104,0.00361902],"category_scores_gemma":[0.00944975,0.0002417218,0.0007730054,0.003829361,0.00114514,0.004321139,0.0006929864,0.0007676925,0.0003278539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002824906,"about_ca_system_score_gemma":0.002016342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003688088,"about_ca_topic_score_gemma":0.002918672,"domain_scores_codex":[0.9917319,0.003591611,0.0004079262,0.0006148188,0.003460872,0.0001929336],"domain_scores_gemma":[0.9964647,0.001629977,0.0001795329,0.0001251824,0.001508379,0.00009221998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001162557,0.0001734504,0.005378949,0.001715221,0.0002231492,0.000128632,0.002285367,0.02088041,0.008320317,0.2911675,0.006096148,0.6635146],"study_design_scores_gemma":[0.0001176863,0.0007832937,0.03330839,0.001444721,0.0004390288,0.001122994,0.006499907,0.494677,0.02637615,0.3232122,0.1116395,0.0003790745],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03901828,0.004944483,0.9015381,0.001224886,0.0003009727,0.0003929315,0.0001397262,0.000182973,0.05225772],"genre_scores_gemma":[0.6389494,0.005162767,0.345756,0.0001563385,0.0001398503,0.0006155944,0.0001584941,0.00005794498,0.009003621],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005219614,"threshold_uncertainty_score":0.02760428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09109061850207162,"score_gpt":0.365044047909153,"score_spread":0.2739534294070813,"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."}}