{"id":"W7029823579","doi":"","title":"LM Wind Power Canada Wins Three Awards at the 6th Quebec Wind Energy Industry Gala","year":2018,"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":"Wind power; Renewable energy; Work (physics); Power (physics); Electric power industry","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":[0.002904964,0.0007609896,0.0007611535,0.001532246,0.008249749,0.00928296,0.001604608,0.006057642,0.1992369],"category_scores_gemma":[0.004563904,0.0003210819,0.0006946791,0.0008779399,0.002003344,0.001405975,0.002745959,0.004847663,0.04274051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02020042,"about_ca_system_score_gemma":0.06022183,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6769788,"about_ca_topic_score_gemma":0.9191269,"domain_scores_codex":[0.9970209,0.0001308259,0.00003108247,0.0001187356,0.00159336,0.001104966],"domain_scores_gemma":[0.9883308,0.0003608443,0.0001017074,0.0002174208,0.004350161,0.00663907],"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":[0.00003111809,0.00005291644,0.0007950917,0.00001783417,0.000003452451,0.00004356737,0.00005200396,0.00005310344,0.00007040593,0.003686227,0.9818941,0.01330012],"study_design_scores_gemma":[0.00002151119,0.00002565834,0.007044348,0.0000554886,0.000004902727,0.00002164906,0.0005122209,0.0003001147,0.0001766848,0.0008083366,0.99101,0.00001917795],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009496039,0.002029112,0.0009333154,0.08909156,0.01603171,0.0003627966,0.00620749,0.0006792864,0.8751687],"genre_scores_gemma":[0.009624856,0.0002544491,0.0001352751,0.001702964,0.0003047856,0.00003406021,0.0007587741,0.00007901741,0.9871058],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8007631,"threshold_uncertainty_score":0.6665137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01044684866212738,"score_gpt":0.2498846174629031,"score_spread":0.2394377688007757,"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."}}