{"id":"W3134173460","doi":"10.15173/mjc.v12i2.2528","title":"Editorial: Avoiding unconscious bias in media consumption","year":2020,"lang":"en","type":"editorial","venue":"The McMaster Journal of Communication","topic":"Public Relations and Crisis Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Acknowledgement; Unconscious mind; Media bias; Coronavirus disease 2019 (COVID-19); Psychology; Sociology; Political science; Public relations; Computer science; Computer security; Law; Psychoanalysis; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01182713,0.0001925525,0.0004470485,0.0002818875,0.0007880199,0.0003997485,0.003756852,0.0006417462,0.0001021161],"category_scores_gemma":[0.01524667,0.0001518393,0.0001791152,0.0005014024,0.0004058555,0.000728269,0.0004529091,0.003354062,0.00004722621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004713425,"about_ca_system_score_gemma":0.0009532903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004394534,"about_ca_topic_score_gemma":0.002771704,"domain_scores_codex":[0.9913899,0.005485594,0.001172341,0.0001384756,0.001574367,0.0002393043],"domain_scores_gemma":[0.9861373,0.009554546,0.002032811,0.001023171,0.001130446,0.0001217756],"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":[0.00004846219,0.00004253282,0.0001340174,0.000008897342,0.00003753649,3.854759e-7,0.0193964,0.00002323629,0.000007901916,0.0009565323,0.9758551,0.003488975],"study_design_scores_gemma":[0.0005089469,0.00002365916,0.0001140696,0.0003108378,0.00007805345,9.965495e-7,0.004305916,0.00004322981,0.000002656256,0.005595433,0.9888728,0.0001433781],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0004496519,0.005346746,0.0001647654,0.01804377,0.969828,0.0002985545,0.0000129865,0.00003111625,0.005824415],"genre_scores_gemma":[0.08080402,0.02259942,0.0003902223,0.00006408949,0.8958226,0.00001509021,0.00007762182,0.0000308798,0.0001960787],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.08035437,"threshold_uncertainty_score":0.9989452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06885469266197466,"score_gpt":0.3472915843039314,"score_spread":0.2784368916419567,"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."}}