{"id":"W7056104664","doi":"","title":"ENBALA Makes List of Canada's 2013 Clean50 for Contribution to Renewable Energy | eZanga Search Results","year":2012,"lang":"en","type":"other","venue":"","topic":"Particle accelerators and beam dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Renewable energy; Energy (signal processing); Key (lock); Production (economics); Energy consumption","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00144821,0.001320782,0.001122562,0.005949461,0.005843821,0.006872482,0.001581486,0.002106035,0.2085996],"category_scores_gemma":[0.003177147,0.0005175617,0.001094549,0.005479246,0.0008164374,0.001421838,0.001970335,0.002087334,0.07608335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01766474,"about_ca_system_score_gemma":0.05958292,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8745407,"about_ca_topic_score_gemma":0.9575668,"domain_scores_codex":[0.9984612,0.00004639787,0.00002161223,0.00006770062,0.0009825751,0.0004204953],"domain_scores_gemma":[0.9964156,0.0001751958,0.00005044014,0.00009532557,0.002340261,0.0009231623],"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":[0.00005175265,0.00002815987,0.0005382124,0.0000915948,0.000008679976,0.0000407333,0.00001546087,0.0001881414,0.0001298476,0.002416355,0.9839246,0.01256641],"study_design_scores_gemma":[0.000027723,0.00001236446,0.003135567,0.0000818694,0.00001540359,0.00001862962,0.0001306205,0.0005360322,0.0004285426,0.001411677,0.9941766,0.0000249093],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003107536,0.002272935,0.001475913,0.009395462,0.002090175,0.0003735398,0.1740613,0.003315873,0.8039072],"genre_scores_gemma":[0.01977678,0.00247357,0.004592315,0.004788957,0.0002389849,0.0001658768,0.09173502,0.002483311,0.8737453],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7914004,"threshold_uncertainty_score":0.697835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009542590888367857,"score_gpt":0.2154148340501453,"score_spread":0.2058722431617774,"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."}}