{"id":"W626940733","doi":"","title":"New Brunswick Department of Transportation and Infrastructure's Strategic Multi-Criteria Analysis Model for Capital Infrastructure Investments","year":2014,"lang":"fr","type":"article","venue":"Transportation 2014: Past, Present, Future - 2014 Conference and Exhibition of the Transportation Association of Canada // Transport 2014 : Du passé vers l'avenir - 2014 Congrès et Exposition de 'Association des transports du Canada","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Asset management; Stakeholder; Capital budgeting; Plan (archaeology); Finance; Government (linguistics); Business; Asset (computer security); Transport engineering; Computer science; Economics; Project appraisal; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003304785,0.001664271,0.0006804243,0.004032081,0.00162419,0.004492556,0.002938071,0.001519492,0.006365932],"category_scores_gemma":[0.003935013,0.000820672,0.001605746,0.006503431,0.001033119,0.001441477,0.001332118,0.002154019,0.001068473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04537272,"about_ca_system_score_gemma":0.04985671,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.755627,"about_ca_topic_score_gemma":0.8237175,"domain_scores_codex":[0.9970692,0.001009009,0.000144491,0.0002629589,0.001144634,0.0003697681],"domain_scores_gemma":[0.9975275,0.0006864519,0.0001644146,0.00008950308,0.001420931,0.0001111732],"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":[0.00005658389,0.000110291,0.006740227,0.0003519445,0.000110358,0.0004478722,0.0004482435,0.5490181,0.0009562096,0.3346174,0.05428492,0.0528578],"study_design_scores_gemma":[0.00007418693,0.00008743058,0.004683965,0.0004544429,0.00007752371,0.0001564907,0.00128881,0.6711032,0.0009093218,0.05846694,0.2625498,0.000147841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03127735,0.00257341,0.511467,0.01482555,0.0005853384,0.002638077,0.02706442,0.0007055791,0.4088633],"genre_scores_gemma":[0.4296184,0.004093301,0.4423053,0.001431833,0.00006997814,0.004311379,0.01161785,0.0002060263,0.1063459],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.244373,"threshold_uncertainty_score":0.4916244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01479090765071258,"score_gpt":0.2504364981519385,"score_spread":0.2356455905012259,"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."}}