{"id":"W2538383174","doi":"10.1145/2983323.2983326","title":"PARC","year":2016,"lang":"en","type":"article","venue":"","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Key (lock); Process (computing); Data quality; Set (abstract data type); Focus (optics); Information privacy; Visualization; Data anonymization; Data mining; Computer security; Engineering","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001657004,0.00002259329,0.00004313651,0.00004028638,0.00002333214,0.00006181327,0.0003900784,0.000007856511,0.011372],"category_scores_gemma":[0.0009828747,0.000008634443,0.00002096667,0.0001068895,0.00002857587,0.0002206011,0.0001513802,0.000006444743,0.01645585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003847678,"about_ca_system_score_gemma":0.000004347598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001150255,"about_ca_topic_score_gemma":0.00003637118,"domain_scores_codex":[0.9991439,0.00004555449,0.0001409343,0.0001421556,0.0004525447,0.00007488653],"domain_scores_gemma":[0.9990895,0.0004263803,0.00002263846,0.0003968509,0.00003011747,0.00003452682],"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":[0.000001144063,0.000005390332,0.000396217,8.605734e-8,9.731607e-7,5.892783e-7,0.000008910731,2.855541e-8,0.0001024001,0.2401983,0.3762609,0.3830251],"study_design_scores_gemma":[0.00006314539,0.000006071869,0.003356055,8.214981e-7,3.998474e-7,1.502479e-7,0.00007715527,0.000002847889,0.0003374461,0.175344,0.8207899,0.00002202008],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009081283,0.000005373083,0.2928853,0.03466596,0.0002652457,0.00005077194,0.00001007364,0.00005172714,0.6629843],"genre_scores_gemma":[0.7599065,0.000005481666,0.00113258,0.001927838,0.00002781244,0.000002036991,2.49564e-7,0.000001130501,0.2369964],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7508252,"threshold_uncertainty_score":0.9895318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3665018902815535,"score_gpt":0.4727680972124533,"score_spread":0.1062662069308998,"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."}}