{"id":"W4404567777","doi":"10.3390/journalmedia5040106","title":"Friends or Foes? Exploring the Framing of Artificial Intelligence Innovations in Africa-Focused Journalism","year":2024,"lang":"en","type":"article","venue":"Journalism and Media","topic":"Media Studies and Communication","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Framing (construction); Journalism; Political science; Media studies; Sociology; Engineering ethics; Public relations; History; Engineering; Archaeology","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":[0.001979501,0.0000707248,0.0001388425,0.0001873942,0.0004287955,0.0001359767,0.0002577925,0.00004545611,0.0001125725],"category_scores_gemma":[0.0008195793,0.00004376037,0.00003709459,0.001009949,0.0002196373,0.0002932331,0.00007085429,0.0003864495,0.000002670032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003531145,"about_ca_system_score_gemma":0.0001629525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003689664,"about_ca_topic_score_gemma":0.002723749,"domain_scores_codex":[0.998774,0.0001589797,0.0004100999,0.00009707693,0.0003467139,0.0002131625],"domain_scores_gemma":[0.9986411,0.0009550479,0.0001025396,0.0001321633,0.00009908501,0.00007011969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001444416,0.0000289084,0.000241839,0.00001969168,0.0000288914,0.00001644117,0.3434852,0.000005675763,0.0001773309,0.324759,0.0005551506,0.3306674],"study_design_scores_gemma":[0.0002033929,0.00009050234,0.00600447,0.001139294,0.0001169334,0.00002096912,0.4982951,0.001472976,0.0005968362,0.1524312,0.3392586,0.0003696686],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9015743,0.0164361,0.004391034,0.06321466,0.00460901,0.0003330833,0.00001201572,0.00006486206,0.009364977],"genre_scores_gemma":[0.9852345,0.0135227,0.0004719218,0.00005853449,0.000596984,0.00002422245,8.076014e-7,0.000006558859,0.00008374818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3387035,"threshold_uncertainty_score":0.3297991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1889828015860221,"score_gpt":0.3608010143001142,"score_spread":0.1718182127140921,"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."}}