{"id":"W6930676738","doi":"10.5281/zenodo.14238391","title":"Addressing AI Bias in News Reporting: Challenges and Strategies for African Newsrooms","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"dental development and anomalies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Presentation (obstetrics); Journalism; Intersection (aeronautics); Big data; Work (physics); News media; Applications of artificial intelligence; Resource (disambiguation)","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":[],"consensus_categories":[],"category_scores_codex":[0.0004043047,0.00009223264,0.00009027742,0.0001041648,0.0003018794,0.0006107116,0.0001757513,0.0000515552,0.0001290204],"category_scores_gemma":[0.0002932649,0.00008998721,0.00003005478,0.0001095777,0.00007495877,0.00002578738,0.0003325118,0.00007928989,0.00006035427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001787295,"about_ca_system_score_gemma":0.000008035526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005769984,"about_ca_topic_score_gemma":0.000005200173,"domain_scores_codex":[0.9990934,0.00005918798,0.0002418488,0.0003207578,0.00009299196,0.0001918477],"domain_scores_gemma":[0.9996532,0.000007198871,0.00007263722,0.0001300492,0.00008136415,0.00005554895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001422918,0.0000886334,0.00005459588,0.0005386803,0.0000818468,0.00005630627,0.003722793,0.00002128962,0.1115615,0.01173397,0.05606452,0.8159335],"study_design_scores_gemma":[0.0002123499,0.0001631653,0.001438597,0.00007465918,0.000005172287,0.00007267171,0.002667526,0.0001077001,0.00264008,0.0006867465,0.9917912,0.0001401398],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7821357,0.01297995,0.003053826,0.004498756,0.0003286667,0.0009074206,0.0001038135,0.0005349371,0.1954569],"genre_scores_gemma":[0.9967823,0.0009422538,0.0002088684,0.00007075239,0.0001216835,1.351062e-7,0.0004917776,0.0003358567,0.001046343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9357267,"threshold_uncertainty_score":0.5889106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1420467697279567,"score_gpt":0.3193103810526403,"score_spread":0.1772636113246836,"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."}}