{"id":"W6894380090","doi":"10.5683/sp3/ew5zhs","title":"Postal Code Conversion File [Canada], September 2006, Census of Canada 2001","year":2006,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Data file; Geographic information system; Geocoding; Code (set theory); Location","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":[0.001323863,0.00111555,0.0008813828,0.008298565,0.004061765,0.003803601,0.003094089,0.0008145988,0.19533],"category_scores_gemma":[0.01256558,0.0009069653,0.0006156458,0.02852534,0.0005634852,0.002049296,0.001208881,0.001945382,0.07729196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03960815,"about_ca_system_score_gemma":0.1060523,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9846929,"about_ca_topic_score_gemma":0.9822016,"domain_scores_codex":[0.997098,0.0001316207,0.0002120523,0.0002654106,0.00172905,0.0005638432],"domain_scores_gemma":[0.9835143,0.0004010803,0.0003193994,0.000466881,0.01470169,0.0005966091],"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":[0.00001395493,0.000006765664,0.0005301556,0.0000945819,0.000003053353,0.0000116598,0.0000639565,0.00006768553,0.00001456707,0.001220256,0.9923478,0.005625408],"study_design_scores_gemma":[0.00002079367,0.000005429248,0.01539905,0.0001651678,0.000008167352,0.00003542736,0.0004467413,0.0001996701,0.00009242851,0.0004556757,0.9831424,0.00002899751],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004826236,0.00019193,0.0003594668,0.0005365702,0.0002042416,0.000202372,0.9625168,0.0004055801,0.03510042],"genre_scores_gemma":[0.004781482,0.001184649,0.002606689,0.0004700851,0.00006898404,0.0005219583,0.8680192,0.0006757915,0.1216711],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.19533,"threshold_uncertainty_score":0.6534439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00987740495238962,"score_gpt":0.2197231241457892,"score_spread":0.2098457191933996,"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."}}