{"id":"W6997437371","doi":"","title":"Why Less is More for Canada (Part 2)","year":2021,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Efficient energy use; Energy (signal processing); Retrofitting; Greenhouse gas; Plan (archaeology); Zoom","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":[0.002437194,0.0005183561,0.0004787986,0.0008555473,0.02435211,0.01570182,0.001696815,0.009429879,0.09158012],"category_scores_gemma":[0.00932366,0.0004989745,0.0007496018,0.001866785,0.00499925,0.005350351,0.003801057,0.010585,0.01362681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06470922,"about_ca_system_score_gemma":0.1332386,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9461798,"about_ca_topic_score_gemma":0.9741855,"domain_scores_codex":[0.9942545,0.0004158972,0.00008739281,0.0005551257,0.002183637,0.002503372],"domain_scores_gemma":[0.9923195,0.0004146328,0.0001483602,0.0001585853,0.003472344,0.003486506],"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":[0.00001107459,0.00001477054,0.0006190988,0.00004794648,0.000003618944,0.0000888412,0.001663813,0.00002454937,0.0001855155,0.01009479,0.978503,0.008743016],"study_design_scores_gemma":[0.000005165152,0.000006020464,0.00150282,0.00009343214,0.000003698941,0.00003747667,0.005964329,0.00002143391,0.00009711071,0.0007906675,0.9914532,0.00002461735],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.005348512,0.004281579,0.0005450704,0.7132846,0.01047751,0.0001166807,0.002274941,0.0002067811,0.2634643],"genre_scores_gemma":[0.05905198,0.003615447,0.001174535,0.3622581,0.001174289,0.0001341929,0.001486837,0.0004784081,0.5706262],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.09158012,"threshold_uncertainty_score":0.4695005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01085927795432,"score_gpt":0.2144646847157392,"score_spread":0.2036054067614192,"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."}}