{"id":"W7017899859","doi":"","title":"Canadian Exchanges Stock Scanner Innergex Renewable Energy Polaris Infrastructure Transeastern Power Trust and NaiKun Wind Energy Group","year":2017,"lang":"en","type":"other","venue":"","topic":"Electric Power System Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Wind power; Renewable energy; Stock (firearms); Group (periodic table); Scanner; Power station; Energy (signal processing)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007926933,0.0006925101,0.0006229771,0.000992252,0.0001411391,0.0002066025,0.0004661531,0.001101036,0.002418786],"category_scores_gemma":[0.000009328827,0.0006850991,0.0000825748,0.0002255508,0.00004890912,0.0001774876,0.00003555656,0.0002253256,0.000006324996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000367208,"about_ca_system_score_gemma":0.0001676715,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6625064,"about_ca_topic_score_gemma":0.8999173,"domain_scores_codex":[0.9980572,0.00005417253,0.0002775059,0.0005541331,0.0002821201,0.0007748847],"domain_scores_gemma":[0.9985063,0.00001316388,0.0001376296,0.0007760646,0.00004275395,0.0005240993],"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":[0.000006322321,0.000006910868,0.00041233,0.0001402733,0.000344616,0.00003513639,0.000128448,0.002940677,0.00009284753,0.0002513058,0.9904312,0.005209926],"study_design_scores_gemma":[0.000418054,0.00005025636,0.0001491722,0.0002438002,0.00006130202,0.000044933,0.0000163525,0.006192495,0.00009244188,0.00002453632,0.9918767,0.0008299957],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003202209,0.01365072,0.03514124,0.00007115378,0.001911919,0.0002411271,0.0002654851,0.0006271148,0.9480592],"genre_scores_gemma":[0.07700114,0.00139284,0.0006823562,0.0001728226,0.0005254906,0.00003397009,0.0002622813,0.001096987,0.9188321],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2374109,"threshold_uncertainty_score":0.99956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003109354308114381,"score_gpt":0.1669807341509998,"score_spread":0.1638713798428854,"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."}}