{"id":"W4396581915","doi":"10.9734/jerr/2024/v26i61158","title":"Artificial Intelligence, Big Data, and Cloud Infrastructures: Policy Recommendations for Enhancing Women's Participation in the Tech-Driven Economy","year":2024,"lang":"en","type":"article","venue":"Journal of Engineering Research and Reports","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Cloud computing; Big data; Business; Political science; Computer science; Data mining; Law","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":[0.003504031,0.00004075664,0.00007787234,0.0003327541,0.0001508938,0.0003751158,0.00009006307,0.00003588187,0.000004591359],"category_scores_gemma":[0.0006298978,0.0000301556,0.00001469697,0.0003009762,0.00006596243,0.00060353,0.00001994805,0.0001979129,2.397076e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008054903,"about_ca_system_score_gemma":0.0002628638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003903409,"about_ca_topic_score_gemma":0.0002282896,"domain_scores_codex":[0.9992065,0.00003171285,0.0003628738,0.00008378448,0.0001174909,0.0001976487],"domain_scores_gemma":[0.999303,0.0004325432,0.00005219357,0.00007087834,0.00006829651,0.00007312159],"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":[0.00003316056,0.00007169135,0.0006346295,0.0002616927,0.00007221619,0.00007075773,0.05869025,0.002353288,0.0001268881,0.1074921,0.001567667,0.8286257],"study_design_scores_gemma":[0.0000781274,0.0003726172,0.00109853,0.0004851149,0.0000131792,0.0001466348,0.02398612,0.007788711,0.0003861236,0.2905754,0.6748755,0.0001938776],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8983557,0.0009190407,0.0741617,0.02033359,0.001687156,0.0007601381,0.00002012186,0.00003005066,0.003732494],"genre_scores_gemma":[0.9984202,0.0002582066,0.00029739,0.00001501045,0.0009682794,0.00001566618,0.000004990694,0.000003537959,0.00001667841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8284318,"threshold_uncertainty_score":0.361725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08413990408193027,"score_gpt":0.397688390453245,"score_spread":0.3135484863713147,"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."}}