{"id":"W3088411605","doi":"10.26443/mjm.v18i1.187","title":"75 million syringes but nothing to put in them: what is Canada’s plan for a COVID-19 vaccine?","year":2020,"lang":"en","type":"article","venue":"McGill Journal of Medicine","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Medicine; Coronavirus disease 2019 (COVID-19); Nothing; Vaccination; Population; Politics; Economic growth; Public administration; Virology; Political science; Law; Environmental health; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0070734,0.0009037924,0.0008993882,0.001235684,0.007962986,0.00756002,0.002367891,0.01050634,0.01982428],"category_scores_gemma":[0.01437521,0.0005626909,0.001443665,0.001229553,0.006061266,0.005877652,0.001556002,0.01076775,0.004209409],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0391066,"about_ca_system_score_gemma":0.2605219,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9217989,"about_ca_topic_score_gemma":0.9523358,"domain_scores_codex":[0.9938646,0.0007422841,0.000195757,0.0003296018,0.003058874,0.001808847],"domain_scores_gemma":[0.9850664,0.001346931,0.0003947684,0.000213422,0.005983005,0.006995359],"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":[0.0001930808,0.0001435736,0.003482341,0.0005483946,0.00007041347,0.0003538657,0.000495726,0.0004530011,0.001447057,0.02370582,0.9046101,0.0644967],"study_design_scores_gemma":[0.00008176648,0.0001224391,0.005715798,0.0006947244,0.00004814144,0.0001073955,0.001221258,0.0003219274,0.0004921784,0.005773742,0.9852938,0.0001268135],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001887978,0.01173353,0.0006695502,0.9580905,0.007016749,0.0001352668,0.0007572327,0.0001371422,0.01957188],"genre_scores_gemma":[0.04538597,0.03430129,0.01136749,0.8277596,0.004275652,0.0002620505,0.001718115,0.000240439,0.07468937],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9608934,"threshold_uncertainty_score":0.2837395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1204787048370339,"score_gpt":0.3654475830493059,"score_spread":0.244968878212272,"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."}}