{"id":"W3113078843","doi":"10.22323/2.19070208","title":"Spikey blobs with evil grins: understanding portrayals of the coronavirus in South African newspaper cartoons in relation to the public communication of science","year":2020,"lang":"en","type":"article","venue":"Journal of Science Communication","topic":"Communication and COVID-19 Impact","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Newspaper; Rhetorical question; Context (archaeology); Pandemic; Population; Meaning (existential); Media studies; History; Quarter (Canadian coin); Coronavirus; Sociology; Coronavirus disease 2019 (COVID-19); Psychology; Literature; Art; Demography; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.009368389,0.00009368426,0.0002197032,0.0004351095,0.001127973,0.0001534808,0.004933677,0.0000431786,0.00001517151],"category_scores_gemma":[0.003316788,0.00006104781,0.00006130817,0.006816431,0.005383122,0.001454119,0.0005122101,0.0004806243,0.000001278646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008815711,"about_ca_system_score_gemma":0.002713237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001426927,"about_ca_topic_score_gemma":0.01242837,"domain_scores_codex":[0.9966469,0.000821327,0.0007563567,0.0001454698,0.00135907,0.0002708327],"domain_scores_gemma":[0.9962737,0.0004910703,0.001191925,0.001220995,0.0006472762,0.0001750634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001583957,0.0002983228,0.2298877,0.00001726565,0.0000136491,5.485521e-7,0.622686,0.004924885,0.01174838,0.1235497,0.00008468085,0.006630517],"study_design_scores_gemma":[0.0008979675,0.0002590841,0.6701893,0.0005748165,0.00002999232,0.000006345766,0.3179672,0.001603696,0.0008168534,0.002849771,0.004582474,0.0002224402],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8985879,0.0005272798,0.0003757239,0.09254437,0.00005877987,0.0004991919,0.000002738054,0.000008753684,0.007395295],"genre_scores_gemma":[0.9981248,0.0004339521,0.0008983255,0.0005122923,0.00001038083,0.000004353015,4.395117e-7,0.000005395388,0.00001010505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4403016,"threshold_uncertainty_score":0.9973236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2021233297016818,"score_gpt":0.3781421242839296,"score_spread":0.1760187945822478,"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."}}