{"id":"W6950525927","doi":"10.5683/sp3/bozfpy","title":"Data Use and PUMFs","year":2003,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of New Brunswick","funders":"","keywords":"Microdata (statistics); Session (web analytics); Population; Public access; Public use; Data collection; Public health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.009895012,0.0009567764,0.001105648,0.006956054,0.00146401,0.004922769,0.002527469,0.001294289,0.03757793],"category_scores_gemma":[0.06955022,0.0007695701,0.001459407,0.01820479,0.0008317691,0.003030401,0.002839886,0.002399586,0.01891233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004658835,"about_ca_system_score_gemma":0.004793613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1567612,"about_ca_topic_score_gemma":0.160971,"domain_scores_codex":[0.9864608,0.00334672,0.001574316,0.002666491,0.004467519,0.00148406],"domain_scores_gemma":[0.9716241,0.008827951,0.002428448,0.008370803,0.007562773,0.00118595],"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":[0.0001543229,0.00004324584,0.02610424,0.0004094933,0.0001020809,0.00003570929,0.0001755475,0.0008274143,0.00007690751,0.006448151,0.9492774,0.01634558],"study_design_scores_gemma":[0.00008924429,0.00001780224,0.03971937,0.0002956714,0.00004653785,0.0001306656,0.0004929223,0.00200401,0.0004187344,0.004385216,0.9523502,0.00004964446],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003515501,0.000364578,0.0007632569,0.001079036,0.0001327966,0.00004470251,0.9869398,0.0009664568,0.006193873],"genre_scores_gemma":[0.01379669,0.0001550713,0.001954757,0.0002292254,0.00002957543,0.0001529533,0.9807531,0.0004299186,0.002498809],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1567612,"threshold_uncertainty_score":0.3116975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1025708630731416,"score_gpt":0.3188067703922392,"score_spread":0.2162359073190976,"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."}}