{"id":"W4205713401","doi":"10.1093/oxfordhb/9780190067397.013.11","title":"Transparency","year":2020,"lang":"en","type":"reference-entry","venue":"Oxford University Press eBooks","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Sociotechnical system; Transparency (behavior); Leverage (statistics); Accountability; Computer science; Agency (philosophy); Knowledge management; Data science; Artificial intelligence; Computer security; Political science; Epistemology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002298976,0.0002531035,0.0004178078,0.00008163644,0.001056925,0.0001988081,0.0009904966,0.000977276,0.00009266577],"category_scores_gemma":[0.000126612,0.0003016907,0.0002668093,0.00005442661,0.0005052106,0.0002099938,0.0001423751,0.001134291,0.000002383707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002517653,"about_ca_system_score_gemma":0.001287626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005241996,"about_ca_topic_score_gemma":0.00199183,"domain_scores_codex":[0.9979414,0.0003276001,0.0001590793,0.0003994988,0.0006694252,0.0005030186],"domain_scores_gemma":[0.9987434,0.0001514771,0.0001777103,0.0002315238,0.0002343107,0.0004616146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005125049,0.00003208912,0.00001468521,0.0001858299,0.0001637004,0.0001354311,0.02668006,5.311247e-7,2.896197e-7,0.6896285,0.2514136,0.03169396],"study_design_scores_gemma":[0.0002342638,0.00004303913,0.00000862646,0.0001486561,0.0001401799,1.497823e-7,0.002298969,0.000001602135,0.000002840412,0.001123035,0.9956623,0.0003363541],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00004455299,0.0002738739,0.00009011658,0.001589622,0.0008039747,0.000321434,0.0003268691,0.0002001342,0.9963494],"genre_scores_gemma":[0.002431184,0.0715163,0.0001228855,0.0003357289,0.0009127264,7.383657e-7,0.000073448,0.00002920928,0.9245778],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7442486,"threshold_uncertainty_score":0.9999435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08550913637800764,"score_gpt":0.3029259283583426,"score_spread":0.217416791980335,"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."}}