{"id":"W2056101750","doi":"10.1177/0270467611421848","title":"Omitted Costs, Inflated Benefits","year":2011,"lang":"en","type":"article","venue":"Bulletin of Science Technology & Society","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Renewable energy; Wind power; Government (linguistics); Electricity; Business; Process (computing); Environmental economics; Track (disk drive); Public policy; Energy policy; Economics; Engineering; Computer science; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01457416,0.0009444702,0.00107395,0.004655687,0.002659885,0.009541209,0.001716115,0.003783004,0.02318772],"category_scores_gemma":[0.1068363,0.0006545646,0.001453854,0.00485345,0.004922368,0.005784353,0.004086379,0.005162429,0.002451887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01533874,"about_ca_system_score_gemma":0.01093887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03310544,"about_ca_topic_score_gemma":0.0358103,"domain_scores_codex":[0.9573919,0.009073384,0.002041552,0.001947626,0.02623094,0.003314577],"domain_scores_gemma":[0.946755,0.02610119,0.005601713,0.006081009,0.01446204,0.0009991445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001296015,0.0000664167,0.006587932,0.0003615381,0.000106436,0.0003170723,0.0006768391,0.002383345,0.0003036242,0.8898088,0.03424832,0.06501013],"study_design_scores_gemma":[0.00008066879,0.0001119793,0.02499928,0.001404573,0.0003106714,0.0005935561,0.001565047,0.003833242,0.001263468,0.49163,0.4740604,0.0001471102],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04760974,0.008736098,0.03356785,0.0466263,0.002745154,0.0006112853,0.005147608,0.0002836526,0.8546723],"genre_scores_gemma":[0.8091154,0.006135738,0.01943356,0.01633324,0.002660406,0.0008746957,0.00185995,0.0003683279,0.1432187],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03310544,"threshold_uncertainty_score":0.1112909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0127904180387,"score_gpt":0.2305919837878986,"score_spread":0.2178015657491986,"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."}}