{"id":"W1604046820","doi":"","title":"Going Green for Less: Cost-Effective Alternative Energy Sources","year":2009,"lang":"en","type":"article","venue":"C.D. Howe Institute Commentary","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Renewable energy; Audit; Natural resource economics; Environmental economics; Business; Economics; Accounting; Engineering; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001124216,0.0003280266,0.0003184674,0.0001524661,0.0003809975,0.00004541181,0.0003320479,0.00009631032,0.00004637975],"category_scores_gemma":[0.00001147075,0.0003257869,0.0001810506,0.0001351939,0.0001955383,0.0005184822,0.0000312556,0.0001348835,0.00001368762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001870207,"about_ca_system_score_gemma":0.00001668443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005802862,"about_ca_topic_score_gemma":0.005119922,"domain_scores_codex":[0.9985197,0.00006090114,0.0003414396,0.0004047779,0.0002222709,0.0004509563],"domain_scores_gemma":[0.9991823,0.0001401223,0.0001644507,0.0003247829,0.00003432781,0.0001539712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004268284,0.0007587881,0.003468382,0.00006185041,0.0006992187,0.00008607299,0.003748928,0.04641373,0.002128657,0.5164454,0.0154367,0.4103254],"study_design_scores_gemma":[0.002081847,0.0002888693,0.004601556,0.00006919867,0.00009800403,0.000005843873,0.0003640398,0.0007253588,0.01796414,0.01572247,0.9576209,0.0004577947],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7866217,0.002819551,0.1184182,0.04055008,0.003597422,0.003525384,0.0006959664,0.0008985823,0.04287305],"genre_scores_gemma":[0.9709937,0.0004424266,0.001291142,0.02434588,0.0007168083,0.0005221128,0.0007923033,0.00004065739,0.0008549899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9421842,"threshold_uncertainty_score":0.9999194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02432476386032189,"score_gpt":0.2660668707206436,"score_spread":0.2417421068603217,"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."}}