{"id":"W4296523783","doi":"10.1002/hec.4601","title":"Does providing free internet access to low‐income households affect COVID‐19 spread?","year":2022,"lang":"en","type":"article","venue":"Health Economics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"General Electric (Canada); University of Toronto","funders":"","keywords":"Recreation; Business; Coronavirus disease 2019 (COVID-19); The Internet; Affect (linguistics); Entertainment; Internet access; Apartment; Marginal propensity to consume; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Demographic economics; Internet privacy; Public economics; Finance; Economics; Medicine; Psychology; Computer science","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":[0.001429903,0.0001472489,0.000302338,0.0006544621,0.0005014885,0.001161443,0.0004998601,0.0007167872,0.005441943],"category_scores_gemma":[0.01258271,0.0001819505,0.000535449,0.0009037856,0.0005795863,0.0006569323,0.0007332723,0.0009475072,0.0003217628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001166848,"about_ca_system_score_gemma":0.0009164914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1225099,"about_ca_topic_score_gemma":0.1401811,"domain_scores_codex":[0.9989036,0.0004461635,0.00006145608,0.0001287951,0.0001257533,0.0003342353],"domain_scores_gemma":[0.992009,0.002552734,0.00357565,0.0003561892,0.000524032,0.0009824531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002130518,0.00018066,0.9892443,0.00003031664,0.0001407126,0.00008171127,0.0003026233,0.000170707,0.00008836967,0.0006135703,0.0006397102,0.008294196],"study_design_scores_gemma":[0.00001234527,0.0001035691,0.9974456,0.00003718337,0.0001047311,0.00003365558,0.0006411683,0.0002480934,0.00006433803,0.0002727099,0.001032466,0.000004178416],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877814,0.001391572,0.0002614684,0.003235602,0.00003664189,0.00003795212,0.001222602,0.000007162393,0.006025625],"genre_scores_gemma":[0.9982324,0.0004079802,0.00006912423,0.0001800137,0.00002692687,0.000008344063,0.0002490389,0.000001724573,0.000824458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1225099,"threshold_uncertainty_score":0.2435936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3150102734412009,"score_gpt":0.4542352500225997,"score_spread":0.1392249765813988,"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."}}