{"id":"W3124197124","doi":"10.3138/cpp.2021-002","title":"COVID-19 and the Economic Importance of In-Person K–12 Schooling","year":2021,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Census; Centrality; Context (archaeology); Population; Demographic economics; Work (physics); Coronavirus disease 2019 (COVID-19); Economic sector; Rest (music); Economics; Economic growth; Geography; Sociology; Economy; Demography; Statistics; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00315318,0.0002462624,0.0003778745,0.002574219,0.001757655,0.00264769,0.001076655,0.0005147642,0.00663292],"category_scores_gemma":[0.01695745,0.0001737549,0.0003771461,0.00505494,0.001995137,0.0009353145,0.001611378,0.001466429,0.0002717843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02005549,"about_ca_system_score_gemma":0.01506791,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9034267,"about_ca_topic_score_gemma":0.9453055,"domain_scores_codex":[0.9971133,0.0007539008,0.0001230714,0.0001895967,0.0007601706,0.001059953],"domain_scores_gemma":[0.9904544,0.002286059,0.002603934,0.0004652179,0.002358328,0.00183203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001665797,0.00005888944,0.8553629,0.0002893888,0.0001418564,0.0002293932,0.00179887,0.002493958,0.0001949452,0.08308311,0.01380454,0.0423755],"study_design_scores_gemma":[0.00001067082,0.00003696888,0.9529232,0.0004424152,0.00006488957,0.0001431117,0.003007075,0.002037177,0.0001990262,0.00841441,0.03268664,0.0000345015],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6901017,0.01096549,0.005725297,0.04624359,0.0005218107,0.0002179976,0.02931926,0.00008180354,0.216823],"genre_scores_gemma":[0.9883908,0.002392776,0.001558504,0.0006457948,0.00008294296,0.00002632288,0.002501538,0.00001443166,0.004386831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09657329,"threshold_uncertainty_score":0.194284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.198440389782977,"score_gpt":0.3922547605056164,"score_spread":0.1938143707226394,"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."}}