{"id":"W4386211315","doi":"10.1109/istas55053.2022.10227137","title":"Social Categories in/of Cyberspace: Frequency Effects and Trust in Media","year":2022,"lang":"en","type":"article","venue":"","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Cyberspace; Social media; Computer science; Internet privacy; World Wide Web; The Internet","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004848301,0.0002520216,0.0003228585,0.002857967,0.001436814,0.004097245,0.0004036716,0.0007401564,0.003852987],"category_scores_gemma":[0.05144161,0.0002790678,0.0003629963,0.002101361,0.003050192,0.003809011,0.002669496,0.001185547,0.0003120084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00120073,"about_ca_system_score_gemma":0.0003827999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005705339,"about_ca_topic_score_gemma":0.006121461,"domain_scores_codex":[0.9950165,0.002149577,0.0004081458,0.0006319906,0.001487966,0.0003058308],"domain_scores_gemma":[0.9142005,0.05673987,0.01753851,0.004972095,0.004221332,0.002327664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007926757,0.000297742,0.8895918,0.0002307353,0.0002313438,0.000263466,0.0588559,0.000499203,0.007125739,0.005763496,0.000361919,0.03598595],"study_design_scores_gemma":[0.000008690091,0.0001454458,0.9829718,0.00004318969,0.00004242264,0.000188933,0.01191831,0.000955366,0.0008308126,0.001781672,0.001079564,0.00003381757],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914545,0.0001013152,0.001212112,0.0001027288,0.000008306832,0.00001504093,0.00005694208,0.00001333339,0.00703593],"genre_scores_gemma":[0.999487,0.00002729658,0.0001958754,0.00001022396,0.000009264936,0.000006113724,0.00003492175,0.000006694069,0.0002225112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005705339,"threshold_uncertainty_score":0.02564055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006193933547175717,"score_gpt":0.2509981907470904,"score_spread":0.2448042571999147,"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."}}