{"id":"W7072304978","doi":"","title":"Wind Firming-New Brunswick Power Engages Customers to Achieve It","year":2015,"lang":"en","type":"other","venue":"","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Power (physics); Government (linguistics); Wind power; Work (physics)","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":[0.00139475,0.0002659758,0.0001127102,0.0006929702,0.002964861,0.005056351,0.0006295452,0.001129346,0.05087909],"category_scores_gemma":[0.002969262,0.0001024246,0.0002285038,0.001662094,0.001285566,0.001904288,0.001990555,0.001583127,0.004448352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00585667,"about_ca_system_score_gemma":0.009286705,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1576736,"about_ca_topic_score_gemma":0.4439171,"domain_scores_codex":[0.9994252,0.0001304613,0.00001243149,0.00004171789,0.0002547452,0.0001355763],"domain_scores_gemma":[0.9978531,0.000633737,0.0001387745,0.0001917792,0.0005865602,0.0005960285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001536082,0.0002900828,0.02443862,0.0003610944,0.00002600356,0.0004253985,0.008432472,0.000651977,0.001541801,0.1926259,0.3408885,0.4301646],"study_design_scores_gemma":[0.0000199868,0.00003634874,0.03124928,0.0002913035,0.00001295386,0.00008649953,0.01123961,0.0004565116,0.0009256628,0.01294146,0.9427185,0.00002184976],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02695645,0.0009405582,0.001002787,0.01038648,0.0003046175,0.00005210636,0.0005635669,0.0001265556,0.9596668],"genre_scores_gemma":[0.3607902,0.002572631,0.002509678,0.00328607,0.0001595805,0.0001183029,0.001032042,0.0002478374,0.6292836],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8423264,"threshold_uncertainty_score":0.3135117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02634572183451922,"score_gpt":0.317133950441065,"score_spread":0.2907882286065457,"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."}}