{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003651337,0.001157689,0.00113614,0.002822182,0.00198868,0.006306288,0.003741892,0.002331916,0.3692594],"category_scores_gemma":[0.01289138,0.0007315124,0.001184927,0.003351553,0.0008072131,0.004496911,0.004701055,0.002450011,0.2864486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001986632,"about_ca_system_score_gemma":0.004215812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005949574,"about_ca_topic_score_gemma":0.005227413,"domain_scores_codex":[0.995487,0.0006254269,0.0002826115,0.001191531,0.002021856,0.0003916229],"domain_scores_gemma":[0.9906619,0.001182312,0.0004236436,0.003271873,0.003650492,0.000809848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003183614,0.00009617062,0.001424725,0.000390174,0.00004960113,0.0002005458,0.0001413511,0.001434593,0.002667955,0.02102484,0.7804747,0.1917771],"study_design_scores_gemma":[0.00004723836,0.00003571558,0.0006372656,0.00006162671,0.00001478783,0.0002136672,0.00005466478,0.003110735,0.001901123,0.00537889,0.9885194,0.00002487161],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007085296,0.002773119,0.1835797,0.01215887,0.00582521,0.001276224,0.08212746,0.1179247,0.5872495],"genre_scores_gemma":[0.08602945,0.00363659,0.1653215,0.008190555,0.002168749,0.001677319,0.2168227,0.02716783,0.4889854],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6307406,"threshold_uncertainty_score":0,"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."}}