{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001538456,0.0001285711,0.0002119942,0.0001183143,0.00002374934,0.00002701353,0.000220681,0.0000724057,0.0001012847],"category_scores_gemma":[0.0001177754,0.0001225314,0.00001702282,0.0002275527,0.00002374753,0.00006874085,0.0002115328,0.00004793432,1.879402e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004517375,"about_ca_system_score_gemma":0.0009258814,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1886842,"about_ca_topic_score_gemma":0.777104,"domain_scores_codex":[0.998404,0.00002361083,0.0002007662,0.0003424877,0.0009159912,0.0001131046],"domain_scores_gemma":[0.9994174,0.0001123541,0.0001956712,0.000130785,0.00008791128,0.00005584428],"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":[0.000001645562,0.00001017216,0.003236006,0.00009708667,0.0000710181,0.000004501222,0.00004847999,0.00009031723,0.00006798841,0.05411488,0.938152,0.004105872],"study_design_scores_gemma":[0.0003498037,0.00001127799,0.005306609,0.00008989533,0.00001074444,0.000008725809,0.000009872401,0.0327545,0.00002924547,0.002856435,0.95832,0.0002529283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003411264,0.004371779,0.1124804,0.002272147,0.0006595072,0.0003962818,0.001371198,0.00006065426,0.8780469],"genre_scores_gemma":[0.01310045,0.0001190071,0.1992086,0.00362048,0.0004156962,0.00006000853,0.0004726286,0.0001220743,0.782881],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5884198,"threshold_uncertainty_score":0.8167185,"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."}}