{"id":"W7017729278","doi":"","title":"Canada Biopower Industry Report 2023: Installed Capacity, Power Generation, Regulations, Key Players and Forecast to 2035","year":2023,"lang":"en","type":"other","venue":"","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Biopower; Power (physics); Key (lock); 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":[],"consensus_categories":[],"category_scores_codex":[0.001095082,0.001110304,0.0005092883,0.003369611,0.003222423,0.003831937,0.001594324,0.001858826,0.04761083],"category_scores_gemma":[0.003197441,0.0005376737,0.0008230802,0.009240733,0.0007334698,0.001111573,0.0009075995,0.00199458,0.00773204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07360119,"about_ca_system_score_gemma":0.23299,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9973309,"about_ca_topic_score_gemma":0.9975796,"domain_scores_codex":[0.997573,0.000041649,0.00004094506,0.00007837703,0.001848346,0.0004176783],"domain_scores_gemma":[0.9951988,0.0001957338,0.0001489065,0.00006045892,0.003959645,0.0004364898],"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":[0.00004083192,0.00002084962,0.001627985,0.0001180707,0.00001078639,0.00003254126,0.00006526603,0.0008792272,0.000131026,0.006171196,0.9790943,0.01180795],"study_design_scores_gemma":[0.00003932306,0.00001233189,0.03487525,0.000203943,0.00002819223,0.00002442929,0.0006251324,0.003021943,0.0008800848,0.002455369,0.9577562,0.00007776527],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01037555,0.004137095,0.001858634,0.02249023,0.0009036155,0.000301489,0.6552759,0.001290575,0.3033669],"genre_scores_gemma":[0.065979,0.008739954,0.006554691,0.003589869,0.0001789916,0.0002472346,0.1932496,0.0006548858,0.7208057],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07360119,"threshold_uncertainty_score":0.5340165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03193744469899806,"score_gpt":0.2736625095557755,"score_spread":0.2417250648567775,"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."}}