{"id":"W4223904087","doi":"10.3390/info13040201","title":"A Framework for Online Public Health Debates: Some Design Elements for Visual Analytics Systems","year":2022,"lang":"en","type":"article","venue":"Information","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Public relations; Public health; Analytics; Computer science; Visual analytics; Internet privacy; Social media; Online participation; Data science; World Wide Web; Sociology; Political science; Visualization; The Internet; Medicine; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002873752,0.0000820995,0.0001386308,0.000230898,0.001314415,0.0003460436,0.0001924954,0.00005519476,0.00007139827],"category_scores_gemma":[0.001161553,0.00008434539,0.00005708723,0.0003486192,0.00002352919,0.002596398,0.0000288564,0.00009370667,0.00001558219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005389955,"about_ca_system_score_gemma":0.0008288233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001110081,"about_ca_topic_score_gemma":0.00001551695,"domain_scores_codex":[0.9983018,0.0001153278,0.0006035323,0.00005768884,0.0005100284,0.0004116264],"domain_scores_gemma":[0.9987558,0.0002541556,0.0005084123,0.00009312233,0.0002126317,0.0001759265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001244964,0.0002179197,0.00005199883,0.0003169689,0.00007928549,4.955566e-8,0.1539989,0.01565623,0.000001553738,0.6136879,0.07579094,0.1400737],"study_design_scores_gemma":[0.0006366811,0.0003772059,0.00007709688,0.00001536261,0.00000624733,5.774702e-7,0.06232908,0.2042455,0.000002918117,0.003206306,0.728969,0.0001339737],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003450372,0.00004516122,0.9869332,0.005510473,0.000814707,0.002421449,0.0003498163,0.0001252532,0.0003495074],"genre_scores_gemma":[0.930133,0.0001148015,0.04945982,0.01603211,0.0006328552,0.0004736944,0.002545052,0.00002196036,0.0005866809],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9374734,"threshold_uncertainty_score":0.9999858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1839035874006086,"score_gpt":0.4261547289328347,"score_spread":0.2422511415322261,"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."}}