{"id":"W6931852794","doi":"10.5683/sp3/fzsve0","title":"2016 Census of Population [Canada] Public Use Microdata File (PUMF): Hierarchical File","year":2019,"lang":"en","type":"dataset","venue":"Borealis","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Microdata (statistics); Public use; Metropolitan area; American Community Survey; Identifier; Population; Data file","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001287428,0.001289037,0.001252048,0.006191792,0.002643499,0.003007321,0.00260775,0.0006839191,0.09747968],"category_scores_gemma":[0.01226771,0.0008413141,0.0008572217,0.02091874,0.0005139489,0.00123457,0.001633602,0.001676523,0.04737153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02855823,"about_ca_system_score_gemma":0.0673925,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9780808,"about_ca_topic_score_gemma":0.981754,"domain_scores_codex":[0.9983348,0.00008642041,0.0001664336,0.0002207332,0.0008001127,0.0003915968],"domain_scores_gemma":[0.9884193,0.0005216663,0.0004387162,0.0006127666,0.009190496,0.0008170751],"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":[0.00001253823,0.000003780975,0.0006991904,0.00009868852,0.000005701496,0.000006928606,0.00003030608,0.00006685673,0.00001135382,0.000464152,0.9971796,0.001420796],"study_design_scores_gemma":[0.00006687191,0.000004008272,0.01837352,0.0003102248,0.00001930221,0.00002522914,0.0002644399,0.0003090351,0.0001857098,0.0005882652,0.9798155,0.00003793286],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005691843,0.00001334646,0.00003690454,0.00005251208,0.00001208913,0.0000192022,0.9985184,0.00006227793,0.001228272],"genre_scores_gemma":[0.000875124,0.00009919674,0.0005249698,0.00006346587,0.000009299331,0.0001483303,0.9946228,0.00009345869,0.003563341],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09747968,"threshold_uncertainty_score":0.326102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03702111988827083,"score_gpt":0.2706047962042398,"score_spread":0.2335836763159689,"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."}}