{"id":"W3182782458","doi":"10.9734/ajess/2021/v19i230460","title":"A Content Review of News about Coronavirus Disease (COVID-19) at Media Prior to Emergence in Pakistan by the Year 2020","year":2021,"lang":"en","type":"review","venue":"Asian Journal of Education and Social Studies","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Newspaper; China; Pandemic; Content analysis; Disease; Psychological intervention; Public health; Government (linguistics); Geography; Medicine; History; Socioeconomics; Coronavirus disease 2019 (COVID-19); Demography; Political science; Media studies; Sociology; Social science; Infectious disease (medical specialty); Law; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003385887,0.0002747246,0.0003792117,0.007189927,0.001003323,0.001955906,0.0002427732,0.0005027101,0.003063446],"category_scores_gemma":[0.0136826,0.0002062147,0.0002989931,0.006822666,0.0006276341,0.00182935,0.0005672643,0.0006778584,0.0004974557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002799383,"about_ca_system_score_gemma":0.004811485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007367157,"about_ca_topic_score_gemma":0.01641186,"domain_scores_codex":[0.9978223,0.0008652722,0.0003494649,0.0001339828,0.0006886936,0.0001402899],"domain_scores_gemma":[0.9764977,0.01210069,0.002395951,0.0002465961,0.008259452,0.0004996585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001612814,0.0003564806,0.06219346,0.08463645,0.0003524636,0.007431005,0.106632,0.0003433089,0.009084748,0.004219497,0.1668839,0.5562539],"study_design_scores_gemma":[0.00003982558,0.001004327,0.2325926,0.03308291,0.0006414936,0.001973213,0.1070542,0.0002061295,0.003087379,0.0003863429,0.6198358,0.00009566724],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.5897488,0.2702574,0.001948385,0.03993667,0.01112714,0.002482055,0.01624586,0.0001427631,0.06811093],"genre_scores_gemma":[0.6685885,0.2877697,0.004334185,0.008822043,0.004094159,0.001153104,0.006893806,0.00008224656,0.01826227],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.007367157,"threshold_uncertainty_score":0.020311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3107533255689069,"score_gpt":0.4729526623650769,"score_spread":0.1621993367961699,"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."}}