{"id":"W4287752725","doi":"10.5281/zenodo.3905953","title":"MEDIA LITERACY OF DIFFERENT POPULATION GROUPS IN USA AND CANADA IN INFORMATION SOCIETY","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Social Media and Politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information literacy; Population; Literacy; Political science; Media literacy; Library science; Media studies; Social science; Sociology; Demography; Law; Computer science","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":[0.0004562876,0.0001788737,0.0002973996,0.002691658,0.003366856,0.002436667,0.0004130625,0.0003233939,0.002984603],"category_scores_gemma":[0.003099418,0.0001168295,0.0003775283,0.004845778,0.0009689623,0.0007616044,0.001249195,0.0006856223,0.0001556003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01311641,"about_ca_system_score_gemma":0.01841246,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9499349,"about_ca_topic_score_gemma":0.9691173,"domain_scores_codex":[0.9990886,0.00006322209,0.00003614761,0.00008859033,0.0003180897,0.0004052027],"domain_scores_gemma":[0.9984451,0.0002293642,0.000214363,0.00002605821,0.000631458,0.0004537031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009337929,0.00009572654,0.8789291,0.0001817498,0.00005927279,0.0003979022,0.06997843,0.00006290594,0.0002506012,0.002772223,0.003908603,0.04327009],"study_design_scores_gemma":[0.000002438014,0.00002093194,0.9298965,0.00008962789,0.00002809162,0.0001116273,0.06168643,0.00007449969,0.00008364579,0.0001461967,0.007841633,0.00001838231],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982255,0.001152534,0.00005578792,0.001099733,0.00002379815,0.0000292116,0.0009864566,0.000009127092,0.01438837],"genre_scores_gemma":[0.9953012,0.001086404,0.00006617109,0.0002315703,0.000009298559,0.00001877055,0.0005305855,0.00000612704,0.002749838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0500651,"threshold_uncertainty_score":0.1007198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02791239142892411,"score_gpt":0.2578179462782312,"score_spread":0.2299055548493071,"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."}}