{"id":"W7029086270","doi":"","title":"Hydropower and the economy - Supporting 135,000 jobs and contributing $37 billion to Canada's GDP - The Business Journals","year":2015,"lang":"en","type":"other","venue":"","topic":"Libraries and Information Services","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Hydropower; Production (economics); Government (linguistics); Economic forecasting; Productivity","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":[0.0005025472,0.0006753319,0.0003063996,0.003569686,0.006878652,0.008387065,0.0009162094,0.002208787,0.1321489],"category_scores_gemma":[0.002363803,0.0003070023,0.0003569525,0.006324344,0.001582917,0.001562748,0.001597394,0.001699,0.01957539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02471688,"about_ca_system_score_gemma":0.1830107,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9688447,"about_ca_topic_score_gemma":0.9909158,"domain_scores_codex":[0.9989089,0.0000192714,0.00001863407,0.0000305977,0.000760765,0.0002618917],"domain_scores_gemma":[0.9971608,0.0001014928,0.00005965771,0.00005002957,0.001533471,0.001094606],"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":[0.00001303008,0.00001792571,0.0007318445,0.0001246707,0.000004027099,0.00004607672,0.00008095929,0.0001026547,0.0001155284,0.008150087,0.9593247,0.0312886],"study_design_scores_gemma":[0.000006629855,0.000005207179,0.00458485,0.0001955385,0.000006830192,0.00003127801,0.0008278437,0.000118572,0.0002009299,0.002064262,0.9919452,0.00001275608],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0052877,0.009670464,0.0003002204,0.02788572,0.003510135,0.0001019287,0.0178158,0.0005374038,0.9348905],"genre_scores_gemma":[0.02927499,0.01145343,0.0006496517,0.003501835,0.0006624447,0.0000260151,0.005023086,0.0002137657,0.9491948],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1321489,"threshold_uncertainty_score":0.4420822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01586435228889026,"score_gpt":0.2116776869298339,"score_spread":0.1958133346409436,"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."}}