{"id":"W7011691631","doi":"","title":"Navigating governance paradigms: A cross-regional comparative study of generative AI governance processes & principle","year":2024,"lang":"en","type":"other","venue":"Singapore Management University Institutional Knowledge (InK) (Singapore Management University)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Corporate governance; Process (computing); Pace; European union; Identification (biology); Globe; Trustworthiness; Generative grammar","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01173726,0.0001908093,0.0003357996,0.00354902,0.003454351,0.007270775,0.001268176,0.001113429,0.002137606],"category_scores_gemma":[0.01406896,0.0002009923,0.0005606779,0.004006964,0.009868294,0.006837528,0.004307571,0.001293684,0.0001830822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006028746,"about_ca_system_score_gemma":0.003126912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01124153,"about_ca_topic_score_gemma":0.01788828,"domain_scores_codex":[0.9919025,0.005986579,0.0002203256,0.0005061935,0.000756206,0.0006282314],"domain_scores_gemma":[0.9907641,0.00628558,0.001197746,0.0007453474,0.0007450577,0.0002621191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006530609,0.00009087412,0.04221009,0.0003199465,0.00007704506,0.0009921564,0.5074461,0.002194779,0.001038934,0.4032396,0.0007629648,0.0415622],"study_design_scores_gemma":[0.00002063302,0.0001442586,0.07746238,0.0005367993,0.00007967308,0.000594209,0.826747,0.005119283,0.0006176746,0.04987712,0.03875092,0.00005003887],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8654032,0.001117736,0.01337462,0.001743302,0.00002020609,0.0001704825,0.00006105058,0.00003221936,0.1180771],"genre_scores_gemma":[0.9975572,0.0002236384,0.001648569,0.00005717964,0.000001897316,0.0000348922,0.00001870438,0.000008577425,0.0004493917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01173726,"threshold_uncertainty_score":0.06207329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03899406416550594,"score_gpt":0.31629090876646,"score_spread":0.2772968446009541,"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."}}