{"id":"W7066112661","doi":"","title":"EverWind to invest $1 billion in renewable energy to power Nova Scotia project","year":2023,"lang":"en","type":"other","venue":"","topic":"Political Science Research and Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nova scotia; Renewable energy; Power (physics); Investment (military); Energy (signal processing); 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00123519,0.0001265441,0.0001684092,0.0008926732,0.00007698978,0.0001317978,0.000446511,0.0002022988,0.009950662],"category_scores_gemma":[0.001778617,0.0001038464,0.00003553109,0.002826712,0.0001318946,0.0001055617,0.00009879473,0.00008935835,0.002804804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006616547,"about_ca_system_score_gemma":0.001917521,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9237478,"about_ca_topic_score_gemma":0.9464236,"domain_scores_codex":[0.9972441,0.0001391921,0.0001487446,0.0004222089,0.0007052762,0.001340469],"domain_scores_gemma":[0.9987268,0.00009242381,0.00002507662,0.0002131326,0.00004386696,0.0008986625],"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":[0.000002542455,0.00003445375,0.0007275699,0.000003977847,0.000002652584,0.000002253462,0.00107009,0.000003339484,0.00002681213,0.00572963,0.9912732,0.001123455],"study_design_scores_gemma":[0.00003700563,0.00006013829,0.0008919796,0.0001108283,9.589894e-7,8.136795e-8,0.001313351,0.000001319042,0.00005350286,0.000754822,0.996603,0.0001729902],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000304444,0.00001790177,0.00007774418,0.005878549,0.0007231357,0.0004444364,0.00001023232,0.0001905103,0.992353],"genre_scores_gemma":[0.007832256,0.00004216933,0.000362986,0.00119455,0.0004790163,0.00003350489,0.000004168905,0.0001140469,0.9899373],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02267578,"threshold_uncertainty_score":0.9979717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07122217144037948,"score_gpt":0.4061054165539147,"score_spread":0.3348832451135353,"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."}}