{"id":"W4318958624","doi":"10.21810/jicw.v5i3.5211","title":"MEDIA/DIGITAL LITERACY IN AN ERA OF DISINFORMATION","year":2023,"lang":"en","type":"article","venue":"The Journal of Intelligence Conflict and Warfare","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disinformation; Misinformation; Media literacy; Political science; Media studies; Literacy; Internet privacy; Sociology; Social media; Computer science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.004071477,0.0003216597,0.0003139922,0.002328952,0.008740313,0.01078014,0.0004582871,0.004205022,0.01359928],"category_scores_gemma":[0.008205688,0.0002855531,0.000262549,0.001413683,0.01076399,0.006138016,0.006681597,0.007991374,0.001264589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009347704,"about_ca_system_score_gemma":0.008358573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02516354,"about_ca_topic_score_gemma":0.05719167,"domain_scores_codex":[0.9960368,0.001390087,0.0001335837,0.0001820212,0.001056809,0.001200762],"domain_scores_gemma":[0.9920177,0.002699904,0.0006756549,0.0002146576,0.001312053,0.003080005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002097247,0.0001714476,0.01695768,0.0003484055,0.00002901947,0.005289227,0.09852818,0.0001457697,0.00129423,0.1570616,0.4867259,0.2332388],"study_design_scores_gemma":[0.00001146854,0.00005973811,0.007733176,0.0003961344,0.000008552843,0.00118846,0.03357478,0.00008361704,0.0004405569,0.01225997,0.9442048,0.00003877085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04445305,0.02193792,0.0005057877,0.7781312,0.004411836,0.00002653984,0.00008788173,0.00007198588,0.1503739],"genre_scores_gemma":[0.7126996,0.02511928,0.0009517461,0.1607634,0.00703044,0.00003494141,0.00008455593,0.00007921001,0.09323684],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02516354,"threshold_uncertainty_score":0.06782269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05771194041089524,"score_gpt":0.3691356588133539,"score_spread":0.3114237184024587,"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."}}