{"id":"W6995349485","doi":"","title":"Ontario Investing $100 Million Into Green Energy Projects","year":2016,"lang":"en","type":"other","venue":"","topic":"Circular RNAs in diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Renewable energy; Sustainability; Energy (signal processing); Investment (military); Energy consumption; Work (physics)","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":[0.0007600489,0.0009596797,0.0003025047,0.001583432,0.0026683,0.002964503,0.0007611481,0.00174215,0.2856788],"category_scores_gemma":[0.001759065,0.0003994773,0.0006275947,0.00153437,0.0009110989,0.001206935,0.001867185,0.001310261,0.06048518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01552088,"about_ca_system_score_gemma":0.04711122,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6230202,"about_ca_topic_score_gemma":0.8434865,"domain_scores_codex":[0.9991055,0.00004233279,0.00001645724,0.00005876843,0.0005177732,0.0002591309],"domain_scores_gemma":[0.9978976,0.00007599934,0.0000641149,0.00006940604,0.0008905001,0.00100233],"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":[0.0001029542,0.00005332299,0.0007143687,0.0001286273,0.000007873185,0.00008233724,0.00005143229,0.000177485,0.0003817039,0.007558079,0.937749,0.05299291],"study_design_scores_gemma":[0.00002226095,0.00001352187,0.001757325,0.00005298546,0.000003650352,0.00002607015,0.00007778211,0.000130602,0.0002176414,0.000653326,0.9970388,0.000006158205],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002895249,0.001606336,0.0008912077,0.008657712,0.001126616,0.0001723114,0.00980589,0.0005913274,0.9742534],"genre_scores_gemma":[0.005905518,0.0009241365,0.0006984542,0.0006421704,0.00007747107,0.0000306722,0.00191516,0.000152479,0.9896539],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3769798,"threshold_uncertainty_score":0.9556908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01278077234385471,"score_gpt":0.2447553371629691,"score_spread":0.2319745648191144,"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."}}