{"id":"W7161793842","doi":"10.82308/53465","title":"Quantifying the impact of non-pharmaceutical interventions on COVID-19 in Canada","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychological intervention; Context (archaeology); Work (physics); Homogeneous","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":[0.004803589,0.0008687319,0.001281293,0.001287885,0.001089198,0.001665462,0.001713982,0.0009877529,0.003016912],"category_scores_gemma":[0.01554285,0.0003292092,0.001747893,0.002591088,0.001053467,0.0007229266,0.001331392,0.001315805,0.0001627937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04435089,"about_ca_system_score_gemma":0.06165154,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9860922,"about_ca_topic_score_gemma":0.979509,"domain_scores_codex":[0.9957852,0.001584102,0.0001649361,0.0005651481,0.001030041,0.0008706302],"domain_scores_gemma":[0.9936103,0.003252155,0.000852577,0.0002883671,0.001542836,0.0004537543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003259144,0.0006436597,0.5762295,0.003494568,0.006202838,0.0003056233,0.001057716,0.1881718,0.003401891,0.02685103,0.01286918,0.1775131],"study_design_scores_gemma":[0.0005750386,0.001354818,0.8008134,0.0009377999,0.004972111,0.0001206997,0.00201026,0.1418467,0.006699128,0.007933811,0.03254705,0.0001891779],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9005895,0.02034023,0.02696473,0.006687202,0.0001947235,0.001126109,0.02752641,0.0003097334,0.01626141],"genre_scores_gemma":[0.975584,0.004783944,0.01010158,0.0008191757,0.00002782435,0.0002304896,0.003433389,0.00003964398,0.004980011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04435089,"threshold_uncertainty_score":0.3217897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5482382531191794,"score_gpt":0.5964363634961911,"score_spread":0.04819811037701172,"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."}}