{"id":"W7000889409","doi":"","title":"Government of Canada investing in green energy and infrastructure for Kejimkujik National Park and National Historic Site","year":2021,"lang":"en","type":"other","venue":"","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); National park; Renewable energy; Energy (signal processing); National government; Investment (military)","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":[0.0009184355,0.001021146,0.0008602528,0.005069785,0.003185836,0.002859287,0.001744635,0.0005766274,0.05989646],"category_scores_gemma":[0.006295689,0.0005976019,0.0009197872,0.0114432,0.0005823435,0.0007810307,0.00128447,0.001028763,0.01178697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02785045,"about_ca_system_score_gemma":0.1267267,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957151,"about_ca_topic_score_gemma":0.9979845,"domain_scores_codex":[0.9980109,0.00007657664,0.00009143861,0.0002177678,0.0008809186,0.0007223522],"domain_scores_gemma":[0.9893907,0.0004507569,0.0004655642,0.0003982516,0.007842795,0.001452001],"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":[0.0001255805,0.00004577568,0.0371305,0.000442586,0.0000682111,0.00009794896,0.0002866981,0.0006299283,0.0001317577,0.003247832,0.9267302,0.03106299],"study_design_scores_gemma":[0.0000631271,0.00002347756,0.1848162,0.0004158545,0.00009879191,0.00007656737,0.002683981,0.001574852,0.0007552649,0.0006407277,0.8087691,0.00008214034],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01017843,0.0004214099,0.0007626804,0.001181807,0.0002475173,0.0002434841,0.9185862,0.001048026,0.0673304],"genre_scores_gemma":[0.0980288,0.002028507,0.009668023,0.001047194,0.00008712222,0.000638974,0.604538,0.001593474,0.28237],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05989646,"threshold_uncertainty_score":0.2020701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007977703628441565,"score_gpt":0.1977495948950044,"score_spread":0.1897718912665628,"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."}}