{"id":"W6921056134","doi":"10.6084/m9.figshare.28166496","title":"Policies in Parallel? A Comparative Study of Journalistic AI Policies in 52 Global News Organisations","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transparency (behavior); Set (abstract data type); Generative grammar; Key (lock); Dynamics (music); Corporate governance; Inequality","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001606781,0.00007862852,0.0002476897,0.000218316,0.0001520502,0.00006542524,0.0002253761,0.00003916831,0.006772839],"category_scores_gemma":[0.001036275,0.00007468277,0.00004769401,0.00189568,0.00002544863,0.0001035271,0.00007185531,0.0001025147,0.00003108671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001854903,"about_ca_system_score_gemma":0.0003644618,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02480222,"about_ca_topic_score_gemma":0.1919546,"domain_scores_codex":[0.9987071,0.0004471917,0.0003169495,0.0001240137,0.0002425526,0.0001622088],"domain_scores_gemma":[0.9991874,0.0004234024,0.0001032658,0.00008071585,0.000167026,0.00003825707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004718451,0.001806211,0.5254009,0.0000680364,0.0001980218,0.00001778878,0.2849368,0.03014771,0.000009396687,0.05506091,0.09903318,0.003273826],"study_design_scores_gemma":[0.0004535291,0.00003410754,0.9197046,0.0002365975,0.00001593373,2.308614e-7,0.0562739,0.0006023334,0.000002383274,0.01539723,0.007179359,0.00009982301],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9155524,0.0004688562,0.0001466965,0.007989903,0.000108583,0.001100314,0.01278372,0.00006259156,0.06178693],"genre_scores_gemma":[0.9987955,0.000002115625,0.0001445246,0.0002169668,0.00003884662,0.00003598365,0.0004848246,0.000001736992,0.0002794852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3943037,"threshold_uncertainty_score":0.9941351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1397046410167561,"score_gpt":0.4803588563450825,"score_spread":0.3406542153283263,"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."}}