{"id":"W4413568625","doi":"10.64628/aap.estpmd7y7","title":"How online markets are helping local stores survive COVID-19","year":2021,"lang":"en","type":"preprint","venue":"","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Business; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Internet privacy; Computer science; Virology; Biology; Medicine; Outbreak","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002391011,0.0001978991,0.0002491883,0.0006314348,0.001742478,0.006679424,0.0006418888,0.002450889,0.04048999],"category_scores_gemma":[0.01278526,0.0002007328,0.0003299422,0.000887399,0.001988526,0.006894847,0.002254461,0.002253362,0.00378666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002330362,"about_ca_system_score_gemma":0.001999359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02552286,"about_ca_topic_score_gemma":0.04188988,"domain_scores_codex":[0.9988058,0.0004740125,0.00002416201,0.00009404886,0.0002129656,0.0003889868],"domain_scores_gemma":[0.9938637,0.001892676,0.001024987,0.0004268787,0.00128156,0.001510286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001055557,0.001314922,0.1809398,0.0003665485,0.0002072685,0.001165027,0.008554623,0.01280908,0.00165866,0.3470832,0.307784,0.1370612],"study_design_scores_gemma":[0.0002880711,0.0007022942,0.1734546,0.0005407998,0.0002243857,0.000451158,0.0841113,0.03739598,0.001671692,0.3562128,0.3447194,0.0002276143],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.599233,0.001633214,0.003978086,0.09319375,0.0008219719,0.0000851741,0.001360029,0.0002366403,0.2994581],"genre_scores_gemma":[0.9739236,0.000380009,0.0004319797,0.002227426,0.0001635725,0.00001690692,0.0002135745,0.00005376085,0.02258927],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.04048999,"threshold_uncertainty_score":0.1354526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09749861001784402,"score_gpt":0.2930462822715035,"score_spread":0.1955476722536595,"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."}}