{"id":"W7038258003","doi":"","title":"Hydro-Québec: Low-carbon Energy - Energyzt Study Paid For the Gas Industry: Forget Climate Change and Keep Using Dirty Power","year":2020,"lang":"en","type":"other","venue":"","topic":"Bioactive Natural Diterpenoids Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Climate change; Energy (signal processing); Power (physics); Global warming; Greenhouse gas; Renewable energy","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":[0.0006181782,0.0005151216,0.0002891013,0.0008600242,0.003779649,0.002133816,0.0008508223,0.001756037,0.1697816],"category_scores_gemma":[0.0006784484,0.0002144663,0.0003985813,0.001011885,0.0007960204,0.0006507948,0.0008745706,0.001411674,0.01055627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02716607,"about_ca_system_score_gemma":0.04342678,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9565355,"about_ca_topic_score_gemma":0.9860253,"domain_scores_codex":[0.9996496,0.0000202302,0.000004153544,0.00003630649,0.0001859723,0.0001036041],"domain_scores_gemma":[0.9989939,0.00004732699,0.0000264598,0.00003086409,0.0005050212,0.0003964088],"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":[0.000194043,0.0001304335,0.005055775,0.0001547078,0.00001569435,0.0003099343,0.0001490293,0.00030681,0.00156586,0.009043041,0.9191977,0.06387698],"study_design_scores_gemma":[0.00003819866,0.00003011317,0.01451399,0.00008879312,0.000007122419,0.00004984687,0.0003199491,0.0003711136,0.000704491,0.000687309,0.9831747,0.00001423678],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.02096736,0.01040991,0.0009750073,0.06844546,0.004611656,0.0004131719,0.02784142,0.0006412815,0.8656948],"genre_scores_gemma":[0.03134279,0.001970247,0.0007211026,0.003154822,0.0001928436,0.00004330289,0.002353932,0.0001214003,0.9600996],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.1697816,"threshold_uncertainty_score":0.567976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03143740293078939,"score_gpt":0.2938597077520007,"score_spread":0.2624223048212113,"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."}}