{"id":"W6982011952","doi":"","title":"Government Invests in Clean Energy Initiatives in Yukon","year":2020,"lang":"en","type":"other","venue":"","topic":"Diversity and Impact of Dance","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Clean energy; Clean technology; Renewable energy; Energy (signal processing); Energy policy","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":[],"consensus_categories":[],"category_scores_codex":[0.0003595583,0.0002119124,0.0001413402,0.0005476236,0.001287491,0.001602568,0.0004246091,0.000816989,0.01304852],"category_scores_gemma":[0.0007636921,0.0001002522,0.0002335218,0.0009928982,0.0004452746,0.0005907548,0.001757505,0.0007881336,0.001018405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005950883,"about_ca_system_score_gemma":0.01347989,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2274645,"about_ca_topic_score_gemma":0.4456609,"domain_scores_codex":[0.9994448,0.0000593055,0.00001451824,0.00003345314,0.00008125551,0.0003666591],"domain_scores_gemma":[0.9994949,0.00004748172,0.00005028915,0.00001780527,0.0001073427,0.0002821384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001101507,0.0009594453,0.2536267,0.00147181,0.0001925312,0.001625354,0.006860375,0.002787219,0.005183103,0.151342,0.1758439,0.399006],"study_design_scores_gemma":[0.00004640442,0.0001862523,0.597944,0.0003348058,0.00006431896,0.0002266879,0.02336409,0.001065572,0.0009002528,0.004001196,0.3718395,0.00002696106],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6651189,0.003880401,0.0004181405,0.02259083,0.0005360303,0.00006884166,0.005165534,0.0001846001,0.3020367],"genre_scores_gemma":[0.8763686,0.001572425,0.0004703021,0.001558754,0.00002591449,0.00003508619,0.002179225,0.00004449324,0.1177453],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7725355,"threshold_uncertainty_score":0.452281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.026492503541357,"score_gpt":0.276338918282621,"score_spread":0.249846414741264,"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."}}