{"id":"W7025431825","doi":"","title":"What governments & individuals can do to tame Canada's third wave","year":2021,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Third wave; Closing (real estate); Government (linguistics); Coronavirus disease 2019 (COVID-19); Pandemic; Politics","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":[0.002738831,0.0006345514,0.000483085,0.001477167,0.01146806,0.006154386,0.001790623,0.006140836,0.1549619],"category_scores_gemma":[0.01161394,0.0005557045,0.0007864269,0.001791577,0.002463619,0.002663621,0.003246661,0.003628447,0.04095614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03659791,"about_ca_system_score_gemma":0.1874111,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9838213,"about_ca_topic_score_gemma":0.9924143,"domain_scores_codex":[0.9954424,0.0002015944,0.000071546,0.0001270386,0.001952685,0.002204717],"domain_scores_gemma":[0.9873052,0.0006673766,0.0002630851,0.0004235743,0.005131314,0.006209509],"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":[0.000006357881,0.000008255802,0.0005037647,0.00002963907,0.000001752153,0.00003071647,0.0001671202,0.00001682254,0.0000344635,0.002038118,0.9906855,0.00647748],"study_design_scores_gemma":[0.00001424428,0.000005632618,0.003851668,0.00009278169,0.000004078009,0.00001481979,0.000770672,0.00003443037,0.00006108797,0.0005305393,0.9945987,0.00002126647],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003124665,0.002020859,0.0005965136,0.2371376,0.005232112,0.0004815664,0.0141933,0.001336987,0.7358764],"genre_scores_gemma":[0.01823743,0.001490294,0.001379208,0.0952829,0.0005108296,0.0003828508,0.003919979,0.0005356842,0.8782608],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1549619,"threshold_uncertainty_score":0.5183992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009078097039361828,"score_gpt":0.1953432587841087,"score_spread":0.1862651617447468,"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."}}