{"id":"W7036381604","doi":"","title":"Canada Investment in Renewables Surged Last Year, Led by Ontario","year":2015,"lang":"en","type":"other","venue":"","topic":"Marine Invertebrate Physiology and Ecology","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Investment (military); Renewable energy; Government (linguistics); Subsidy","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":[0.0007857037,0.0004945002,0.0002967471,0.001203817,0.004661737,0.003305838,0.0007837893,0.002106683,0.08762947],"category_scores_gemma":[0.002132581,0.0003484348,0.0006350802,0.001875719,0.001060803,0.0008355367,0.001865366,0.001890557,0.009059287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0392136,"about_ca_system_score_gemma":0.1495692,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9810852,"about_ca_topic_score_gemma":0.9956332,"domain_scores_codex":[0.9984856,0.00003215485,0.00001992759,0.00008342181,0.000941292,0.0004376319],"domain_scores_gemma":[0.9953376,0.0001024911,0.00007892238,0.00008585952,0.002522019,0.001873145],"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":[0.00006787328,0.00002042833,0.003055049,0.0001100111,0.00001431254,0.000118161,0.0001115707,0.0001720693,0.0003851363,0.008724066,0.9615529,0.02566845],"study_design_scores_gemma":[0.00001372937,0.000009406299,0.009328263,0.00006480086,0.000007471942,0.00003037595,0.0002850142,0.0001586979,0.0001889181,0.0004130237,0.9894909,0.000009477786],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0186181,0.007030126,0.001159389,0.1011273,0.005736263,0.0002073345,0.03257432,0.0009505684,0.8325966],"genre_scores_gemma":[0.02439113,0.00217122,0.0008090519,0.004541583,0.0001443611,0.00002548609,0.00320907,0.0001512231,0.9645569],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08762947,"threshold_uncertainty_score":0.2931498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008054638971480519,"score_gpt":0.1647224545356774,"score_spread":0.1566678155641968,"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."}}