{"id":"W2008392531","doi":"10.1016/j.apgeog.2005.08.001","title":"Multi-criteria evaluation and least cost path analysis for an arctic all-weather road","year":2005,"lang":"en","type":"article","venue":"Applied Geography","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":122,"is_retracted":false,"has_abstract":false,"ca_institutions":"Aboriginal Affairs Northern Dev Canada; University of Waterloo; Queen's University","funders":"","keywords":"Weighting; Port (circuit theory); Transport engineering; Arctic; Path (computing); The arctic; Geography; Computer science; Environmental science; Civil engineering; Operations research; Environmental resource management; Meteorology; Engineering; Geology","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":[0.005463776,0.001807057,0.002205187,0.005840479,0.002008712,0.003362428,0.001783683,0.002661516,0.004142921],"category_scores_gemma":[0.01451475,0.000947415,0.002042264,0.003513272,0.0011241,0.002803533,0.001355541,0.001052607,0.0002603043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005077579,"about_ca_system_score_gemma":0.004170886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07054856,"about_ca_topic_score_gemma":0.03952418,"domain_scores_codex":[0.996515,0.002194251,0.0001385543,0.0003427252,0.0005507092,0.0002587046],"domain_scores_gemma":[0.9892694,0.008267033,0.0004184777,0.0002246602,0.001536472,0.0002838896],"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":[0.0001579478,0.00005469953,0.001036652,0.00009055341,0.00005564137,0.00007084135,0.00007224547,0.977541,0.0003383693,0.003324382,0.0004169101,0.01684077],"study_design_scores_gemma":[0.000006794432,0.00004391254,0.000325766,0.000006751221,0.00001724269,0.000007078141,0.00004355452,0.9976865,0.0001361577,0.001584584,0.0001324526,0.000009240787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3876469,0.0007721166,0.6022871,0.0004958359,0.0000797683,0.0006137114,0.001007856,0.0003745015,0.006722291],"genre_scores_gemma":[0.795416,0.0002527633,0.1981976,0.00003741877,0.00002300979,0.0003448762,0.0006896804,0.0001293335,0.004909396],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07054856,"threshold_uncertainty_score":0.1402758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05352760548534175,"score_gpt":0.3529958266204327,"score_spread":0.2994682211350909,"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."}}