{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001733468,0.0004527184,0.0003727781,0.0000993756,0.0001153882,0.00007108151,0.0004147255,0.001021868,0.0001422481],"category_scores_gemma":[0.00008668409,0.0003029981,0.0001318428,0.0001379381,0.0001553276,0.000004012436,0.0006414278,0.0004366843,0.000001271487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003612463,"about_ca_system_score_gemma":0.00009426626,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008156243,"about_ca_topic_score_gemma":0.009588984,"domain_scores_codex":[0.9980449,0.0001292282,0.0002115846,0.0008013293,0.0002723646,0.0005405635],"domain_scores_gemma":[0.9990077,0.00004355611,0.0001960801,0.0005280816,0.00006146792,0.0001630862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003869611,0.002437453,0.02095607,0.001150266,0.008735001,0.000195558,0.0008586743,0.00001345112,0.4463984,0.00150061,0.3831575,0.1307274],"study_design_scores_gemma":[0.001903601,0.001716145,0.0006560668,0.0001058898,0.0002094937,0.00001238144,0.0004303128,0.001685115,0.01709443,0.00002511859,0.9750987,0.001062743],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3450256,0.09315487,0.001650209,0.009414991,0.003491151,0.01876392,0.003663817,0.00069153,0.5241439],"genre_scores_gemma":[0.8847758,0.002738545,0.000278996,0.002139655,0.002852544,0.0006165144,0.0003731231,0.0009706304,0.1052542],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5919412,"threshold_uncertainty_score":0.9999422,"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."}}