{"id":"W4206265574","doi":"10.2196/preprints.33011","title":"Media Use During the COVID-19 Pandemic: Cross-sectional Study (Preprint)","year":2021,"lang":"en","type":"preprint","venue":"","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Stressor; Distress; Coronavirus disease 2019 (COVID-19); Context (archaeology); Population; Pandemic; Psychology; Cross-sectional study; Social media; Information seeking; Medicine; Demography; Clinical psychology; Environmental health; Disease; Internal medicine; Library science; Political science; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001196466,0.0002144143,0.000274315,0.0009091495,0.0007784924,0.001036249,0.0003704579,0.0008819372,0.00361763],"category_scores_gemma":[0.002623626,0.0007300322,0.000651989,0.001280886,0.0002655704,0.001232555,0.0008357502,0.001078652,0.0009877171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004139618,"about_ca_system_score_gemma":0.0005308681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01140487,"about_ca_topic_score_gemma":0.01668491,"domain_scores_codex":[0.9994229,0.0001480162,0.0001179854,0.0001127589,0.0001042631,0.00009412088],"domain_scores_gemma":[0.997961,0.0003846473,0.0009301074,0.0001288474,0.0002944619,0.0003009718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003847695,0.0001214975,0.9978689,0.00004071277,0.00004580258,0.00004091446,0.0006052455,0.000007306111,0.00006855589,0.00001134003,0.0003788386,0.000772393],"study_design_scores_gemma":[0.000005124507,0.0001423362,0.9979466,0.00002704466,0.00002027341,0.0001011331,0.001455407,0.00003221046,0.0000206936,0.000006317322,0.0002391256,0.000003812273],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967073,0.0001967626,0.00007387541,0.0001050226,0.000018043,0.00007830245,0.00219407,0.000003780486,0.0006226824],"genre_scores_gemma":[0.9963393,0.000347267,0.0002119453,0.0003681584,0.00003684202,0.0001897707,0.001830403,0.000004709868,0.0006716665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01140487,"threshold_uncertainty_score":0.022677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2414045592145238,"score_gpt":0.4879999592742039,"score_spread":0.2465954000596801,"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."}}