{"id":"W3175458738","doi":"10.18280/ijsdp.160303","title":"Environmentally Conscious Least Cost Multi-Criteria Decision Making for Modeling Railway Network for Eritrea","year":2021,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"African history and culture analysis","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Geological Survey; Chicago State University","keywords":"Settlement (finance); Sustainable development; Population; Service (business); Railway system; Geography; Environmental planning; Business; Transport engineering; Engineering; Finance; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002079278,0.001338793,0.001038193,0.001248489,0.001002801,0.002368989,0.00116899,0.002369288,0.004481127],"category_scores_gemma":[0.002309703,0.0008216845,0.002047023,0.001036543,0.000692995,0.0008432391,0.001216741,0.001470013,0.0002147333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002049236,"about_ca_system_score_gemma":0.002567433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02745122,"about_ca_topic_score_gemma":0.02183685,"domain_scores_codex":[0.999043,0.0004918141,0.00004715878,0.0001404468,0.0001061751,0.0001713264],"domain_scores_gemma":[0.9981291,0.00138732,0.0001401307,0.00002801692,0.0002247378,0.00009072428],"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":[0.00002536231,0.0000325584,0.0007887033,0.00003998127,0.00002141191,0.00008851828,0.0000303233,0.9963871,0.0001824513,0.0008207025,0.0001055424,0.001477257],"study_design_scores_gemma":[0.000007874136,0.00003384004,0.0002206488,0.00001114974,0.00001069837,0.00000559722,0.00006531727,0.9987594,0.00008084905,0.0006432909,0.000155615,0.000005772098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5686609,0.001036244,0.4049833,0.001305401,0.0002015725,0.0007376591,0.001436656,0.0002236827,0.02141468],"genre_scores_gemma":[0.9443776,0.0002806695,0.05023587,0.0001007243,0.00002490281,0.0007037121,0.0004530608,0.00001965823,0.003803831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02745122,"threshold_uncertainty_score":0.05458289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03245783869431471,"score_gpt":0.3225058753718765,"score_spread":0.2900480366775618,"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."}}