{"id":"W3164114840","doi":"10.1111/cars.12334","title":"COVID‐19 school closures and educational achievement gaps in Canada: Lessons from Ontario summer learning research","year":2021,"lang":"en","type":"article","venue":"Canadian Review of Sociology/Revue canadienne de sociologie","topic":"Youth Substance Use and School Attendance","field":"Social Sciences","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Waterloo","funders":"","keywords":"Numeracy; Coronavirus disease 2019 (COVID-19); Literacy; Pandemic; Mathematics education; Academic achievement; Student achievement; Medical education; Psychology; Geography; Medicine; Pedagogy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.02473937,0.0009902008,0.002569781,0.00542067,0.004769647,0.003571975,0.002999679,0.001224404,0.003221274],"category_scores_gemma":[0.04976979,0.0007624676,0.003855226,0.01582165,0.003410804,0.001838216,0.003310032,0.002633529,0.0001923665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1250411,"about_ca_system_score_gemma":0.2424111,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9975641,"about_ca_topic_score_gemma":0.9986874,"domain_scores_codex":[0.9891303,0.003072823,0.001075879,0.001204476,0.003574548,0.001942067],"domain_scores_gemma":[0.9444579,0.02203324,0.00607867,0.002855699,0.02122255,0.003352034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008439252,0.0001539584,0.5915242,0.01522391,0.007563076,0.0008287324,0.03086756,0.003677638,0.0002307421,0.0266894,0.05535146,0.2670454],"study_design_scores_gemma":[0.0001778791,0.0001845492,0.8677342,0.02242238,0.00575381,0.0001889386,0.01803723,0.002695984,0.0002993839,0.007943646,0.07426422,0.0002977807],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2330611,0.6298242,0.004376256,0.07961937,0.001121874,0.0007097045,0.01809536,0.0001482487,0.03304389],"genre_scores_gemma":[0.8177406,0.1638694,0.005320946,0.005746488,0.0003263378,0.0004008679,0.003944941,0.0001091512,0.00254122],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1250411,"threshold_uncertainty_score":0.907241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1482355306858526,"score_gpt":0.3812656387154844,"score_spread":0.2330301080296318,"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."}}