{"id":"W4413243223","doi":"10.1145/3722547","title":"Global AI Cultures","year":2025,"lang":"en","type":"article","venue":"Communications of the ACM","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital","funders":"","keywords":"Focus (optics); Generative grammar; Computer science; Artificial intelligence","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":["open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.0001509349,0.000032853,0.00004585144,0.00002289045,0.0002400826,0.00004259327,0.04186726,0.00001427881,0.000001086887],"category_scores_gemma":[0.002851534,0.0000224385,0.00004610005,0.000798654,0.0001734166,0.0001587451,0.03457677,0.00005470805,0.000006240871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000188629,"about_ca_system_score_gemma":0.00007926177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003659468,"about_ca_topic_score_gemma":0.00005902776,"domain_scores_codex":[0.9996273,0.00006017228,0.00008840825,0.00008258578,0.00007424768,0.00006726526],"domain_scores_gemma":[0.981658,0.00008757885,0.00003894446,0.01808239,0.0001222071,0.00001082565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[4.544962e-7,0.00004411301,0.00510128,0.000003811703,0.00001080335,2.771386e-8,0.0002527277,0.00001181921,0.0004896455,0.9029121,0.07051815,0.02065503],"study_design_scores_gemma":[0.00007985588,0.000004160778,0.05699833,0.00005614383,0.000006341944,0.000001069118,0.00008767075,0.001679698,0.0009628143,0.8831418,0.05693571,0.00004639512],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.004620954,0.002066491,0.06761727,0.7434989,0.0004490785,0.0002649471,0.000007077628,0.0001118975,0.1813634],"genre_scores_gemma":[0.9187699,0.00006168471,0.07830015,0.002475353,0.000003376257,0.00000821372,4.626992e-7,5.126953e-7,0.0003803597],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9141489,"threshold_uncertainty_score":0.9732314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03291622195792369,"score_gpt":0.3629379195750248,"score_spread":0.3300216976171011,"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."}}