{"id":"W6950618221","doi":"10.5683/sp3/q54sai","title":"Postal Code Conversion File Plus [Canada], Version 7A, June 2017, Census of Canada 2016","year":2025,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Geographic information system; Population; Geocoding; Identifier; Census tract; Demographic analysis; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002577919,0.001314196,0.001218475,0.008752616,0.003841299,0.004613935,0.003187082,0.0008043392,0.3356105],"category_scores_gemma":[0.02412803,0.00127429,0.001047184,0.02781292,0.0007152764,0.002379457,0.002098398,0.002379122,0.1465106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03035161,"about_ca_system_score_gemma":0.1093791,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9730476,"about_ca_topic_score_gemma":0.9693159,"domain_scores_codex":[0.9955954,0.0003315089,0.0004675047,0.0004919741,0.002343785,0.0007698042],"domain_scores_gemma":[0.9766936,0.001204709,0.0005939669,0.001474796,0.01906898,0.0009641407],"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":[0.00001679785,0.000004798902,0.0005410403,0.0001050444,0.000004737252,0.000007946837,0.00005325207,0.00006878992,0.00001528255,0.00108968,0.9938681,0.004224587],"study_design_scores_gemma":[0.00003177944,0.000004915994,0.009072661,0.0002089341,0.000009905819,0.00002547643,0.0003949823,0.0001905668,0.0001227575,0.0008170097,0.9890873,0.00003352828],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000235976,0.00008904887,0.0004875838,0.0003344632,0.0001635538,0.0001729952,0.980551,0.000588128,0.01737718],"genre_scores_gemma":[0.002770881,0.0006688857,0.003139381,0.0003538301,0.00007075139,0.0007918333,0.9217045,0.001737073,0.06876285],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3356105,"threshold_uncertainty_score":0.9476709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008320986591755852,"score_gpt":0.2240379037140993,"score_spread":0.2157169171223435,"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."}}