{"id":"W7038331441","doi":"","title":"Government of Canada Invests $16.7 Million to Support Ontario's Power Grid Operator With Delivering Reliable, Affordable and Clean Energy","year":2024,"lang":"en","type":"other","venue":"","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Operator (biology); Electricity; Power (physics); Clean energy; 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":[0.00006037052,0.0003305714,0.0003513718,0.00009289633,0.00003417433,0.00007033192,0.0004842023,0.00009957944,0.0003811433],"category_scores_gemma":[0.000002555766,0.0002567361,0.00003028987,0.0003351554,0.00003118143,0.0001420284,0.0004755276,0.0001726363,0.00000253629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004770822,"about_ca_system_score_gemma":0.0004766468,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8332105,"about_ca_topic_score_gemma":0.9948955,"domain_scores_codex":[0.9980009,0.00001127179,0.0002361995,0.0006665111,0.0006964436,0.0003887419],"domain_scores_gemma":[0.9990177,0.00001243562,0.0001056194,0.0005623139,0.00003131599,0.0002705902],"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":[0.00001684143,0.00001348831,0.0003033644,0.00005433649,0.00006140927,0.000135993,0.00007299767,0.0007534776,0.00003252557,0.005483203,0.9906819,0.002390428],"study_design_scores_gemma":[0.0001838469,0.0003798357,0.00008089322,0.0004911313,0.00001431491,0.00002948401,0.00003196341,0.0002885089,0.001547959,0.0001089873,0.996372,0.0004710835],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002452554,0.0007970814,0.0691447,0.0003443885,0.002362586,0.0005830882,0.00005829723,0.0002938578,0.9239634],"genre_scores_gemma":[0.01954601,0.0001475917,0.04300723,0.002283604,0.00008966033,0.00002922995,0.000005495464,0.0002906575,0.9346005],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.161685,"threshold_uncertainty_score":0.9999885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004298751643616399,"score_gpt":0.1753533632370587,"score_spread":0.1710546115934423,"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."}}