{"id":"W3138200642","doi":"10.1111/risa.13727","title":"New Methods for Evaluating Energy Infrastructure Development Risks","year":2021,"lang":"en","type":"article","venue":"Risk Analysis","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Environmental economics; Software deployment; Nuclear power; Business; Testbed; Scrutiny; Carbon capture and storage (timeline); Electricity; Risk analysis (engineering); Computer science; Engineering; Economics; Political science","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01011777,0.0002615877,0.000918426,0.001188328,0.0006520568,0.000511465,0.0008852453,0.0001551191,0.002303903],"category_scores_gemma":[0.01673758,0.0002030078,0.001080509,0.01088199,0.0000451353,0.0001712808,0.0002539894,0.0001794672,0.00005751732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001337999,"about_ca_system_score_gemma":0.0009154248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004641507,"about_ca_topic_score_gemma":0.001086781,"domain_scores_codex":[0.9937698,0.001609523,0.001347363,0.001164227,0.00166696,0.0004420925],"domain_scores_gemma":[0.9917484,0.004439883,0.0008446416,0.001293974,0.001423369,0.0002497418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008842088,0.00001969408,0.01744374,0.000001100686,0.001370398,0.000001962758,0.0005103746,0.1473703,0.0005696522,0.0003930271,0.001848694,0.8304623],"study_design_scores_gemma":[0.0003995106,0.00002604784,0.04160948,0.000006525722,0.00553087,0.000002859902,0.000744977,0.7553778,0.01442522,0.04783154,0.1335917,0.0004534515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03332723,0.001695007,0.9639207,0.0002323346,0.0001764264,0.00005339489,0.00001067034,0.00004134228,0.0005429554],"genre_scores_gemma":[0.162914,0.00005901004,0.8324926,0.000195237,0.000100701,0.00001314335,0.00004110178,0.00001559504,0.00416867],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8300088,"threshold_uncertainty_score":0.9986081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1700743664102675,"score_gpt":0.5243325701756997,"score_spread":0.3542582037654322,"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."}}