{"id":"W3184787450","doi":"10.47205/jdss.2021(2-ii)03","title":"Cost-Benefit Analysis and Technical Viability of Kalabagh Dam","year":2021,"lang":"en","type":"article","venue":"Journal of Development and Social Sciences","topic":"Water resources management and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Cost analysis; Risk analysis (engineering); Environmental science; Business; Engineering; Reliability engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003780401,0.00004285693,0.0001432044,0.0001062031,0.00009915239,0.00004841786,0.00005886142,0.00002516378,0.00001554482],"category_scores_gemma":[0.0000109506,0.00003410427,0.00003158861,0.0004238745,0.00008875074,0.0001202794,0.00003355125,0.00004019339,9.651517e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001685822,"about_ca_system_score_gemma":0.00002133201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001330331,"about_ca_topic_score_gemma":0.00002800008,"domain_scores_codex":[0.9994646,0.00001015946,0.0002135462,0.00005651811,0.000182289,0.00007291939],"domain_scores_gemma":[0.9998241,0.00001851622,0.00006459563,0.00001690623,0.00005416466,0.00002168247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002303836,0.0001257106,0.8648887,0.0002206636,0.0009346872,0.0000199805,0.01637562,0.016811,0.002911461,0.002051911,0.0003773315,0.09525994],"study_design_scores_gemma":[0.0004076424,0.00004907797,0.9778134,0.00002777829,0.0002614174,0.000008137051,0.00191278,0.003969085,0.008025244,0.0008465131,0.006456181,0.0002226937],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952473,0.00016364,0.003226339,0.0001630818,0.00003836281,0.00002579038,3.791865e-7,0.000006080777,0.001128998],"genre_scores_gemma":[0.9906727,0.00007396554,0.009183823,0.00001036729,0.00001918297,4.284718e-7,8.893961e-7,0.000001386468,0.00003723241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1129248,"threshold_uncertainty_score":0.1390732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02155686127702424,"score_gpt":0.2479607360933882,"score_spread":0.2264038748163639,"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."}}