{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02401077,0.0005981734,0.0005214628,0.01072664,0.01213865,0.02750588,0.001162801,0.002802033,0.002743542],"category_scores_gemma":[0.05680151,0.0005678718,0.0003137187,0.00737313,0.02642829,0.01757029,0.00878181,0.003128118,0.0003261051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007057481,"about_ca_system_score_gemma":0.003782623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001978196,"about_ca_topic_score_gemma":0.002080091,"domain_scores_codex":[0.9715413,0.02359854,0.0006929651,0.0008539857,0.002120198,0.001193147],"domain_scores_gemma":[0.9037584,0.08148973,0.007458029,0.001708786,0.003433651,0.002151326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003891405,0.00001447393,0.002393887,0.0003056166,0.00001445597,0.0007566057,0.9062125,0.00003580516,0.0004978748,0.07955218,0.001181898,0.008995784],"study_design_scores_gemma":[0.00001255732,0.00003261821,0.003401304,0.001076892,0.00002612731,0.0003956803,0.8858705,0.0002054931,0.0004528859,0.01895968,0.08954251,0.00002378315],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7279475,0.01412931,0.01041957,0.05127437,0.001661151,0.0002019315,0.0001420204,0.00006107355,0.1941631],"genre_scores_gemma":[0.993009,0.002201817,0.0009092452,0.001233387,0.000393357,0.00005230713,0.00002323808,0.00003872343,0.002139003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02750588,"threshold_uncertainty_score":0.1269826,"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."}}