{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004978855,0.0001608559,0.0001912171,0.00006871409,0.000412754,0.00001033139,0.000914015,0.0002145057,0.00504584],"category_scores_gemma":[0.0000538485,0.0001466141,0.0001008066,0.001356093,0.008575072,0.0001189817,0.0007629588,0.0002309236,0.0006113736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003883163,"about_ca_system_score_gemma":0.00002578981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004738223,"about_ca_topic_score_gemma":0.000009662444,"domain_scores_codex":[0.998331,0.00001405177,0.0002639616,0.0004131948,0.0004734765,0.0005043357],"domain_scores_gemma":[0.9993276,0.00001614048,0.0001698976,0.0003496461,0.00001736123,0.0001193426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002144193,0.0007704827,0.7025828,0.000009330872,0.00005139933,0.000006440255,0.005728696,0.00003179214,0.2374297,0.004128738,0.01677728,0.0324619],"study_design_scores_gemma":[0.0009242505,0.0004173341,0.7455786,0.00004361539,0.00004098001,0.0000175155,0.009620483,0.00008812312,0.2211504,0.002419017,0.01909496,0.0006048032],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9541335,0.00005011139,0.0000267767,0.000725719,0.00008811405,0.0001838764,0.000004891763,0.0001414303,0.04464561],"genre_scores_gemma":[0.9890488,0.0001157843,0.009993358,0.0004143546,0.000006905595,0.00001468929,0.000001127452,0.00001133026,0.0003937007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04425191,"threshold_uncertainty_score":0.9958637,"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."}}