{"id":"W4231424423","doi":"10.31235/osf.io/ax9vm","title":"Social and Non Social Media Users During The COVID-19 Pandemic Confinement Period in Canada: The \"Plugged-In\", Unplugged and Other Population Segments","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Social media; Population; Influencer marketing; Pandemic; Advertising; Coronavirus disease 2019 (COVID-19); Political science; Internet privacy; Geography; Sociology; Business; Demography; World Wide Web; Marketing; Computer science; Medicine","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":[0.000818504,0.0004815008,0.0004600618,0.00237242,0.005839105,0.002703327,0.001370312,0.0006354916,0.002045064],"category_scores_gemma":[0.00261515,0.000519654,0.000611737,0.005540577,0.001758348,0.001201931,0.002628933,0.001232987,0.0002522716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02964702,"about_ca_system_score_gemma":0.03275181,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958535,"about_ca_topic_score_gemma":0.9973686,"domain_scores_codex":[0.9984993,0.0001169093,0.00006228939,0.0001569647,0.0004118072,0.000752733],"domain_scores_gemma":[0.9974808,0.0001848275,0.0004672198,0.00004770503,0.0009546986,0.0008648078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002069345,0.00009859727,0.9357671,0.0001010891,0.00005429217,0.0002985617,0.04940158,0.00009503462,0.0004595822,0.0002729736,0.002691438,0.01055291],"study_design_scores_gemma":[0.000003468449,0.00003040662,0.9433616,0.00004597392,0.00001437228,0.00004955691,0.05463315,0.0001584251,0.00008448297,0.00002098138,0.001568212,0.00002934641],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994972,0.0002939203,0.00005375071,0.0003855254,0.000009217781,0.00006047951,0.002143398,0.000006439775,0.002075239],"genre_scores_gemma":[0.9967275,0.0003452263,0.00008631378,0.0001562209,0.000006654262,0.00003629726,0.001281534,0.000006706068,0.001353564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02964702,"threshold_uncertainty_score":0.2151052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08832920867012345,"score_gpt":0.340191477710981,"score_spread":0.2518622690408576,"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."}}