{"id":"W6996269918","doi":"","title":"Samsung and Pattern Energy Complete Canada's Largest Wind Project, South Kent Wind","year":2014,"lang":"en","type":"other","venue":"","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Wind power; Wind speed; Energy (signal processing); Field (mathematics); Renewable energy","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":[0.00006625404,0.0003711139,0.0003671647,0.0002006645,0.00004503713,0.00006046477,0.0001890109,0.0001798322,0.001333254],"category_scores_gemma":[0.000005925008,0.0003201565,0.00003302067,0.00008859219,0.0000312969,0.00001652895,0.00009777803,0.0001937002,0.00002831464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001244705,"about_ca_system_score_gemma":0.0002699269,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5053689,"about_ca_topic_score_gemma":0.7975345,"domain_scores_codex":[0.9984784,0.00002742246,0.0001989418,0.0003231002,0.000393753,0.0005784419],"domain_scores_gemma":[0.9994053,0.00002234937,0.00003487225,0.00028015,0.00001783526,0.0002394621],"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":[0.000002032966,0.000006331909,0.0008873332,0.0001817205,0.0001879922,0.00004241712,0.00003900865,0.0002593433,0.00001458604,0.00007371426,0.9924243,0.005881194],"study_design_scores_gemma":[0.00030156,0.00001491976,0.001126765,0.0001119608,0.000008333419,0.000007870078,0.00002464973,0.00131754,0.00003647009,0.000003208306,0.996605,0.0004416549],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004198864,0.001184162,0.003267838,0.00009482144,0.0005871983,0.0002304257,0.0002534628,0.0004312239,0.993531],"genre_scores_gemma":[0.07211473,0.0004158574,0.0005784462,0.0005612974,0.001036309,0.00002920369,0.0004720056,0.00092078,0.9238714],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2921655,"threshold_uncertainty_score":0.9999251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009424012987181577,"score_gpt":0.1842345641153857,"score_spread":0.1748105511282041,"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."}}