{"id":"W2079576809","doi":"10.1145/1655188.1655206","title":"Enforcing purpose of use via workflows","year":2009,"lang":"en","type":"article","venue":"","topic":"Access Control and Trust","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Workflow; Computer science; Intuition; ENCODE; Access control; Enforcement; Computer security; Data science; Database","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":[0.04259467,0.0009391194,0.001347045,0.00364443,0.003784798,0.009590597,0.002919962,0.002896569,0.001426343],"category_scores_gemma":[0.06774389,0.001591936,0.002889571,0.002012752,0.01047161,0.01653494,0.006724432,0.005215695,0.0006325397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003206559,"about_ca_system_score_gemma":0.008098643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007221295,"about_ca_topic_score_gemma":0.004596418,"domain_scores_codex":[0.9615607,0.01563908,0.00555673,0.004733445,0.01018791,0.002322168],"domain_scores_gemma":[0.9088546,0.03753033,0.007342546,0.03351058,0.01082599,0.001936043],"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":[0.0001852224,0.0001795297,0.007535663,0.0001980708,0.0001434205,0.0006966973,0.005074114,0.01662314,0.00813117,0.9165967,0.00152127,0.04311512],"study_design_scores_gemma":[0.00009559897,0.0001140068,0.001463529,0.000356391,0.000207648,0.0005473855,0.0009012776,0.1311144,0.02491059,0.8019148,0.03818549,0.0001889181],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03642454,0.0001688831,0.9519203,0.001678192,0.00008561714,0.0003090652,0.0002235358,0.002023844,0.007166086],"genre_scores_gemma":[0.6124257,0.0004266609,0.3802049,0.0006285274,0.0001552286,0.0005789949,0.0004355838,0.0005142738,0.004630245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04259467,"threshold_uncertainty_score":0.2252648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02515580297678149,"score_gpt":0.3062180986356333,"score_spread":0.2810622956588518,"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."}}