{"id":"W2966450645","doi":"10.1145/3340470.3340476","title":"Beyond transparency","year":2019,"lang":"en","type":"article","venue":"AI Matters","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Saskatchewan","funders":"","keywords":"Transparency (behavior); Accountability; Computer science; Business; Accounting; Computer security; Political science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04678262,0.0009910044,0.001058888,0.002098091,0.007540019,0.01835872,0.002919587,0.01154586,0.01773593],"category_scores_gemma":[0.1271322,0.0007336008,0.001374436,0.001457193,0.02756546,0.02154186,0.01226271,0.01416581,0.004139389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007881888,"about_ca_system_score_gemma":0.01810024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006037853,"about_ca_topic_score_gemma":0.003454369,"domain_scores_codex":[0.9288974,0.03480179,0.002978653,0.00801938,0.02069129,0.00461148],"domain_scores_gemma":[0.8756993,0.06686272,0.008271099,0.02564258,0.0183581,0.005166113],"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":[0.00001304444,0.00001439134,0.0002628877,0.00006820903,0.00001229713,0.00004235777,0.0005806056,0.0005312031,0.0001572127,0.9836182,0.00623454,0.008465021],"study_design_scores_gemma":[0.00001317056,0.00001464961,0.0002069482,0.0002231006,0.00001261348,0.00005467764,0.0002246187,0.0007965879,0.0003490526,0.9249933,0.07308996,0.00002128456],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01008213,0.004493786,0.1849029,0.1971805,0.002405463,0.0003375234,0.0003403344,0.0005711141,0.5996863],"genre_scores_gemma":[0.8403052,0.003394492,0.04796164,0.04180916,0.003009571,0.0008669353,0.0003259924,0.000558051,0.06176901],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04678262,"threshold_uncertainty_score":0.247413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01837935600202969,"score_gpt":0.3368172612061293,"score_spread":0.3184379052040996,"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."}}