{"id":"W2576098717","doi":"","title":"(Re)Producing Power: Analyzing the New Brunswick Energy Institute Roundtables1","year":2016,"lang":"en","type":"article","venue":"Journal of New Brunswick Studies / Revue d’études sur le Nouveau-Brunswick","topic":"Rhetoric and Communication Studies","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Limiting; Value (mathematics); Democracy; Energy (signal processing); Set (abstract data type); Power (physics); Public relations; Political science; Sociology; Engineering; Politics; Computer science; Law","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":[0.005905636,0.000330393,0.0002634191,0.005315734,0.005113865,0.006135236,0.001608566,0.0008830345,0.009614019],"category_scores_gemma":[0.01623444,0.0003342802,0.0001471827,0.01081111,0.005275043,0.003707461,0.00392046,0.00185118,0.001233011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02109533,"about_ca_system_score_gemma":0.0134822,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4800454,"about_ca_topic_score_gemma":0.6860554,"domain_scores_codex":[0.996703,0.001287884,0.000138694,0.0003713279,0.0009443263,0.0005548365],"domain_scores_gemma":[0.9856064,0.009150066,0.001664524,0.001137877,0.001883656,0.0005575748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001355699,0.0000517935,0.04048699,0.0004725065,0.00002253955,0.001790873,0.7536457,0.001123439,0.002893396,0.07871177,0.03455986,0.08610561],"study_design_scores_gemma":[0.000007514543,0.00001243126,0.05814394,0.0004418748,0.000007862326,0.00008935941,0.5370529,0.0006832569,0.001296504,0.004919638,0.3972846,0.00006012629],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7035643,0.00291194,0.009111764,0.01076341,0.0003492623,0.0004219139,0.004887941,0.0001362452,0.2678533],"genre_scores_gemma":[0.9492192,0.001209711,0.004281213,0.0008028743,0.000049563,0.0003266529,0.002512048,0.0002311616,0.04136747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5199546,"threshold_uncertainty_score":0.9545025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06426813947125821,"score_gpt":0.269332227958939,"score_spread":0.2050640884876808,"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."}}