{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007773497,0.001298934,0.000753931,0.004473287,0.003467931,0.006821005,0.001104183,0.001268111,0.4530717],"category_scores_gemma":[0.00424908,0.0005456908,0.0005739179,0.006145855,0.0007854185,0.002315181,0.00086357,0.001681926,0.1549687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01635678,"about_ca_system_score_gemma":0.03400433,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7750028,"about_ca_topic_score_gemma":0.8837401,"domain_scores_codex":[0.9988402,0.00002285296,0.00002713165,0.00008417769,0.000844905,0.0001807841],"domain_scores_gemma":[0.9950086,0.0001624468,0.0001706313,0.0002579763,0.00364976,0.0007505376],"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":[0.00002689245,0.0000142889,0.0003255413,0.00002902677,0.000003330316,0.00002102842,0.00001429456,0.0002575931,0.00004773768,0.005411831,0.9729734,0.02087507],"study_design_scores_gemma":[0.000008861643,0.00000544598,0.001296315,0.00003995816,0.000003421313,0.00001783425,0.00005807029,0.0005846301,0.0002095056,0.0009494331,0.9968154,0.00001112927],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001339814,0.0009888122,0.0005079824,0.002595992,0.001143021,0.00006793437,0.03164811,0.0008618085,0.9608465],"genre_scores_gemma":[0.004222452,0.0008176501,0.0004684161,0.0001747701,0.0001278403,0.00001542444,0.008139234,0.0003518296,0.9856824],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4530717,"threshold_uncertainty_score":0.7801269,"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."}}