{"id":"W4389987932","doi":"10.59876/a-gq7y-jmep","title":"Social media and digital communication during the pandemic","year":2023,"lang":"en","type":"article","venue":"Management international","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Influencer marketing; Connotation; Social media; Term (time); Pandemic; Coronavirus disease 2019 (COVID-19); Public health; Energy (signal processing); Political science; Public relations; Sociology; Business; Marketing; Medicine; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001753573,0.0002679566,0.0001754954,0.002139241,0.002387012,0.007563896,0.0002830923,0.00153872,0.006514261],"category_scores_gemma":[0.01070666,0.0001929256,0.000211702,0.002440178,0.002519551,0.005751613,0.002284732,0.001282429,0.0006447594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002023721,"about_ca_system_score_gemma":0.001232301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005089514,"about_ca_topic_score_gemma":0.005851295,"domain_scores_codex":[0.9978788,0.001227104,0.0000674349,0.0001309644,0.0003484367,0.0003473064],"domain_scores_gemma":[0.9851671,0.009131264,0.003524089,0.0003673842,0.0007536035,0.001056546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006130017,0.0006608746,0.3258618,0.001060483,0.0002307938,0.002572115,0.3004827,0.001269129,0.002831566,0.1094775,0.03075231,0.2241877],"study_design_scores_gemma":[0.00004642782,0.0002504248,0.4765788,0.001248291,0.0001185922,0.000825136,0.3268802,0.001449615,0.001055299,0.02647759,0.1649585,0.000111242],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7684202,0.007123837,0.0006768797,0.03744907,0.0005509268,0.00005741692,0.0004692493,0.00003943668,0.1852131],"genre_scores_gemma":[0.994626,0.002002674,0.0001414285,0.00080601,0.0003210961,0.00001427194,0.00004703772,0.00001021122,0.002031168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007563896,"threshold_uncertainty_score":0.02179235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04562679256509222,"score_gpt":0.3320204251198035,"score_spread":0.2863936325547112,"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."}}