{"id":"W7061734020","doi":"","title":"Siemens Energy and Kineticor advance Canada's decarbonization efforts - Commodities (COMMODIT) News","year":2020,"lang":"en","type":"other","venue":"","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Siemens; Energy (signal processing); Renewable energy; Production (economics)","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":[0.0009532415,0.0008770871,0.0003768247,0.001254984,0.004605279,0.009562587,0.001068945,0.004663438,0.2339045],"category_scores_gemma":[0.002847952,0.0004773681,0.0006816019,0.001447494,0.001609293,0.002749079,0.002200323,0.004639621,0.07036804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01803176,"about_ca_system_score_gemma":0.05469457,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7012358,"about_ca_topic_score_gemma":0.862808,"domain_scores_codex":[0.9977545,0.00005148102,0.00001911926,0.00007240115,0.001597932,0.0005044907],"domain_scores_gemma":[0.9978301,0.0001157095,0.00003412077,0.00009038177,0.00126791,0.0006617768],"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":[0.00001259821,0.000008090014,0.0000566345,0.00001638432,9.677287e-7,0.00002465594,0.00002149574,0.00003281181,0.00007223698,0.008582518,0.9841175,0.007054087],"study_design_scores_gemma":[0.00000463754,0.00000299879,0.0001982327,0.00002663079,0.000001055823,0.000009974922,0.00008950929,0.00005442839,0.00009588149,0.001043365,0.9984686,0.000004803831],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001589172,0.001799606,0.0005596984,0.04769428,0.009767102,0.00006610346,0.004118812,0.001257644,0.9331476],"genre_scores_gemma":[0.006522689,0.001385348,0.0004834006,0.006902831,0.0003999048,0.00001455098,0.001454191,0.0003462973,0.982491],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2987642,"threshold_uncertainty_score":0.7824885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005650724277315051,"score_gpt":0.2057016529319759,"score_spread":0.2000509286546608,"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."}}