{"id":"W7040221191","doi":"","title":"North American Clean Energy - EthoSolar & Soventix Canada Working Together to Provide Net Metering Solutions","year":2012,"lang":"en","type":"other","venue":"","topic":"Education, Innovation and Language Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Metering mode; Clean energy; Energy (signal processing); Work (physics); Energy consumption; Renewable energy","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":[0.0009864353,0.001112049,0.0004296241,0.00274126,0.007165278,0.003665963,0.001245002,0.003463898,0.262172],"category_scores_gemma":[0.001602564,0.0007780285,0.0004753846,0.002620173,0.0009006046,0.001450102,0.00157874,0.002609592,0.06281629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01551825,"about_ca_system_score_gemma":0.05836109,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7968671,"about_ca_topic_score_gemma":0.9266706,"domain_scores_codex":[0.9985722,0.00004383941,0.00001900516,0.000107845,0.0008993682,0.000357738],"domain_scores_gemma":[0.9957036,0.00018321,0.00006716993,0.000166912,0.003282472,0.0005966454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004466857,0.0001296512,0.001419067,0.0001051944,0.000005309871,0.0001052264,0.000126989,0.0002392694,0.0009495882,0.01692674,0.9001006,0.07984771],"study_design_scores_gemma":[0.000007735743,0.000009031089,0.002448443,0.00003575965,0.000004088379,0.00003696793,0.0001781372,0.0003807154,0.0008187062,0.0006194183,0.9954519,0.000009088147],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002806067,0.0008673084,0.001754042,0.005980514,0.0003837377,0.0001504422,0.006068223,0.00123629,0.9807534],"genre_scores_gemma":[0.00387318,0.0002857179,0.0007968743,0.0003524903,0.00001502051,0.00002053972,0.0009924442,0.0001809236,0.9934828],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.262172,"threshold_uncertainty_score":0.8770527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05683706157674369,"score_gpt":0.3295463487159775,"score_spread":0.2727092871392338,"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."}}