{"id":"W2077698107","doi":"10.1007/s10666-005-9036-0","title":"Estimating home energy decision parameters for a hybrid energy—economy policy model","year":2006,"lang":"en","type":"article","venue":"Environmental Modeling & Assessment","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":74,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Natural Resources Canada","keywords":"Discrete choice; Retrofitting; Subsidy; Energy (signal processing); Key (lock); Economics; Order (exchange); Energy policy; Environmental economics; Computer science; Econometrics; Engineering; Renewable energy; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003921881,0.0003544095,0.0004732478,0.0002483527,0.000277992,0.0001159107,0.0002605365,0.0001065802,0.0001100684],"category_scores_gemma":[0.000007294401,0.0004514757,0.000265457,0.00004984858,0.00006640406,0.0004961984,0.0001448774,0.00010435,0.00006945551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001526267,"about_ca_system_score_gemma":0.0000322752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008138901,"about_ca_topic_score_gemma":0.00001212784,"domain_scores_codex":[0.9974892,0.00001452511,0.001057366,0.0008414155,0.00007618601,0.0005212961],"domain_scores_gemma":[0.9989718,0.00006711775,0.0004013881,0.0004328975,0.000003152876,0.0001236943],"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":[0.00001344175,0.0001912958,0.004557593,0.000006973552,0.00003363716,7.287214e-7,0.00002396119,0.9242458,0.00009325242,0.06627715,0.0001613654,0.004394814],"study_design_scores_gemma":[0.0007814699,0.00005889113,0.0007022053,0.00001008639,0.00001162657,0.000003294425,0.0000250127,0.7182252,0.0001022207,0.2791366,0.000579928,0.0003634623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.318,0.0002467283,0.6778478,0.0001449778,0.0001610525,0.0001668872,0.0001739218,0.0000341262,0.003224441],"genre_scores_gemma":[0.8385029,0.00007491366,0.1595437,0.0004460508,0.0002091383,0.0002765019,0.0003971674,0.00007377249,0.000475828],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5205029,"threshold_uncertainty_score":0.9997937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04734918136267895,"score_gpt":0.2357629938420874,"score_spread":0.1884138124794085,"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."}}