{"id":"W6969166502","doi":"10.5683/sp3/tcfb5e","title":"RDCs and Disclosure Analysis","year":2004,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Microdata (statistics); Session (web analytics); Data quality; Data collection; Public information; Data retention","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":[0.02544891,0.0008770812,0.00117606,0.01012136,0.002647771,0.009090959,0.003204196,0.002203838,0.09264003],"category_scores_gemma":[0.1566358,0.001032102,0.001415211,0.02483498,0.002015553,0.00696007,0.004080775,0.003944507,0.02653938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006835751,"about_ca_system_score_gemma":0.01164782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05017034,"about_ca_topic_score_gemma":0.0389099,"domain_scores_codex":[0.9595413,0.01944016,0.003975922,0.004161913,0.01037461,0.002506156],"domain_scores_gemma":[0.8587402,0.06467584,0.01405188,0.03733849,0.02219439,0.002999149],"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":[0.0001071647,0.00003172503,0.009744416,0.0003276969,0.00005179041,0.0000388209,0.0003321765,0.0007143919,0.00003144263,0.06423691,0.898832,0.02555137],"study_design_scores_gemma":[0.00006658403,0.0000133239,0.01000561,0.0005216815,0.00004433221,0.0001150899,0.0007923386,0.002141913,0.000343599,0.05436739,0.9315416,0.00004653979],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01003732,0.003595348,0.01832316,0.02509235,0.001146365,0.0004197656,0.8247712,0.002715302,0.1138991],"genre_scores_gemma":[0.1039571,0.002440834,0.02616163,0.003636156,0.0007855506,0.001632793,0.817977,0.001583883,0.04182503],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09264003,"threshold_uncertainty_score":0.3099118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01251168036968799,"score_gpt":0.2702754467861486,"score_spread":0.2577637664164606,"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."}}