{"id":"W7027998132","doi":"","title":"Documentation as Data Rescue: Restoring a Collection of Canadian Health Survey Files","year":2017,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Census and Population Estimation","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Government (linguistics); Census; Mandate; Documentation; Agency (philosophy); Data collection; Population; Health statistics; Statistics education; Survey data collection","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":[0.05083491,0.001505473,0.001611937,0.02881505,0.01264552,0.0157546,0.00878106,0.002870733,0.0617584],"category_scores_gemma":[0.2700456,0.002426371,0.00137456,0.05158801,0.0035925,0.004947002,0.008418019,0.006204193,0.03633009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08556893,"about_ca_system_score_gemma":0.4150923,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9720207,"about_ca_topic_score_gemma":0.9508413,"domain_scores_codex":[0.9290709,0.006476048,0.007564645,0.00444052,0.04810648,0.004341443],"domain_scores_gemma":[0.6072319,0.02209126,0.007998435,0.0455847,0.3069319,0.01016191],"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":[0.0000375123,0.00002006534,0.001307343,0.0002739727,0.00001002993,0.00008815825,0.001053776,0.000248105,0.0001031929,0.003851009,0.9477079,0.04529904],"study_design_scores_gemma":[0.00002941767,0.000007729335,0.004499047,0.0006590475,0.00001164459,0.00003357992,0.001029354,0.0004962698,0.0002674264,0.0008337416,0.9920582,0.00007446941],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.006481185,0.001833757,0.03428905,0.04785013,0.01465974,0.008153791,0.7195401,0.01942953,0.1477628],"genre_scores_gemma":[0.04718862,0.00499209,0.1477227,0.01339025,0.001430664,0.008193708,0.6324499,0.01439037,0.1302416],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.08556893,"threshold_uncertainty_score":0.6208489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2059497497906848,"score_gpt":0.3681987497418944,"score_spread":0.1622489999512096,"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."}}