{"id":"W6996640769","doi":"","title":"Siemens Gamesa to Supply Turbines to Canada's Renewable Energy Systems","year":2021,"lang":"en","type":"other","venue":"","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Siemens; Renewable energy; Wind power; Energy supply; 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":[0.0007021851,0.0007349962,0.00023563,0.001547855,0.003134098,0.002894884,0.0009611121,0.002661376,0.3406663],"category_scores_gemma":[0.002037065,0.0003430226,0.0004569547,0.001161867,0.0006975351,0.00107093,0.00166363,0.001623783,0.09626459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01346246,"about_ca_system_score_gemma":0.03612867,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8370788,"about_ca_topic_score_gemma":0.9397554,"domain_scores_codex":[0.9990669,0.00004391956,0.000009711582,0.00004796336,0.0005778152,0.0002535639],"domain_scores_gemma":[0.9981083,0.000134503,0.00002844228,0.00008109873,0.001164784,0.0004829749],"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":[0.00002182326,0.00003205595,0.0003256445,0.00003898157,0.000002486591,0.0000330667,0.00006413119,0.0001923513,0.0002948704,0.0122949,0.9578248,0.02887497],"study_design_scores_gemma":[0.00001978714,0.000009123041,0.001647874,0.00004349132,0.000002208526,0.00001756283,0.0001264348,0.0004976162,0.0003275162,0.001737589,0.9955605,0.00001028671],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001567709,0.0006135331,0.001033486,0.005491282,0.0005304473,0.0001930061,0.006741685,0.001308442,0.9825204],"genre_scores_gemma":[0.005257094,0.0002868361,0.0006014067,0.0006727732,0.00003538167,0.00004876226,0.001579366,0.0002759689,0.9912425],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3406663,"threshold_uncertainty_score":0.9404595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01137815468422734,"score_gpt":0.2563545893285308,"score_spread":0.2449764346443035,"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."}}