{"id":"W2555964569","doi":"10.5547/01956574.38.5.cwoo","title":"Winter Residential Optional Dynamic Pricing: British Columbia.","year":2016,"lang":"en","type":"article","venue":"The Energy Journal","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agricultural economics; Environmental science; Geography; Business; Meteorology; Economics; Demography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001898788,0.0003865005,0.0001783687,0.0008787371,0.001133063,0.001145619,0.0007269283,0.0002473939,0.006806117],"category_scores_gemma":[0.0008785668,0.0002083671,0.0002236065,0.003365704,0.0002158918,0.0003047655,0.0003868029,0.0003531821,0.001136908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01701656,"about_ca_system_score_gemma":0.009157154,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9869256,"about_ca_topic_score_gemma":0.9950493,"domain_scores_codex":[0.9995949,0.0000193987,0.00001333501,0.00005499425,0.0002120906,0.0001052868],"domain_scores_gemma":[0.9988392,0.00005743184,0.00008380465,0.00003988231,0.0008412492,0.0001384297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003491646,0.0001559946,0.7885199,0.0001784002,0.0001076838,0.0006842727,0.0009702654,0.009217108,0.001553664,0.001170227,0.08509786,0.1119955],"study_design_scores_gemma":[0.00001607735,0.00003304208,0.9389352,0.0000412676,0.00003193384,0.0001346066,0.002059649,0.0082105,0.0009543248,0.0001395885,0.04941782,0.0000259811],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8571702,0.0009341289,0.002287458,0.0008758699,0.00005653124,0.0001546529,0.05149486,0.0002598781,0.08676647],"genre_scores_gemma":[0.9177049,0.0005996695,0.001330651,0.0001970727,0.00001053788,0.00006424581,0.02360509,0.00005092805,0.0564368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01701656,"threshold_uncertainty_score":0.1234643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004103112483072388,"score_gpt":0.1754397417552786,"score_spread":0.1713366292722062,"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."}}