{"id":"W4414018627","doi":"10.1139/cjce-2025-0229","title":"Optimal placement of hydrogen vehicle fueling stations using geographic information systems and multiple criteria decision-making","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Geographic information system; Computer science; Transport engineering; Environmental science; Operations research; Civil engineering; Engineering; Geology; Remote sensing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.003830309,0.001402017,0.001364317,0.003293759,0.001051236,0.00289563,0.001321495,0.001075221,0.001921045],"category_scores_gemma":[0.005978947,0.0009964145,0.001342618,0.002459824,0.001045461,0.001199586,0.001471244,0.0009347929,0.0001162644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006182844,"about_ca_system_score_gemma":0.008687833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1008358,"about_ca_topic_score_gemma":0.1106466,"domain_scores_codex":[0.9977344,0.00134312,0.0001028952,0.0002583662,0.0002524406,0.0003087662],"domain_scores_gemma":[0.997021,0.002031983,0.0002759853,0.00005626848,0.0004135142,0.0002011977],"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":[0.00008683668,0.00007416132,0.002884025,0.00006019408,0.00006095301,0.00006191844,0.00007614108,0.9810821,0.0002639324,0.00212215,0.0002071603,0.01302042],"study_design_scores_gemma":[0.00002367085,0.00006234078,0.0006695905,0.00001273146,0.00002011565,0.000004922838,0.0001332347,0.9966592,0.0001658616,0.00206315,0.0001734549,0.00001171665],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5442037,0.0005028644,0.4434073,0.0009198881,0.00005078363,0.0008741211,0.0005965754,0.0002534149,0.009191384],"genre_scores_gemma":[0.8782182,0.0001498209,0.1201875,0.0000490555,0.00001094516,0.0002310328,0.0002863343,0.00001749723,0.0008495996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1008358,"threshold_uncertainty_score":0.2004977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03627733969308659,"score_gpt":0.3235973466019245,"score_spread":0.2873200069088379,"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."}}