{"id":"W6931784039","doi":"10.5683/sp3/ucsog5","title":"Postal Code Conversion File [Canada], August 2020, Census of Canada 2016","year":2020,"lang":"en","type":"dataset","venue":"Borealis","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geocoding; Census; Geographic information system; Data file; Record linkage; Geographic coordinate system; Code (set theory); Location; Data quality","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":[0.00136122,0.001210397,0.0009848801,0.008375494,0.003673319,0.003989751,0.003074171,0.0009107331,0.2091419],"category_scores_gemma":[0.01300609,0.000874117,0.0008256669,0.02597515,0.0005883048,0.002168366,0.001462969,0.001898385,0.08724461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03566189,"about_ca_system_score_gemma":0.1123463,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9827871,"about_ca_topic_score_gemma":0.9799575,"domain_scores_codex":[0.9968875,0.000147794,0.0002433631,0.0002664079,0.001774631,0.0006802711],"domain_scores_gemma":[0.9852431,0.0003275435,0.000270559,0.0003637969,0.01308827,0.0007066342],"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":[0.00001016424,0.000004081981,0.0004405174,0.00009842558,0.000003345827,0.00000905154,0.00003744995,0.00005163842,0.000008262209,0.0009868726,0.9941198,0.004230407],"study_design_scores_gemma":[0.00002326026,0.000005169963,0.01261578,0.0002320282,0.000009725758,0.0000327507,0.0003651009,0.000193181,0.00005639328,0.0005688373,0.9858726,0.00002508357],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003409772,0.0002821363,0.0002320796,0.0006537157,0.000260718,0.0001546243,0.9645381,0.0003136882,0.03322403],"genre_scores_gemma":[0.00444411,0.001521174,0.00163276,0.000580473,0.0001135655,0.0004773448,0.8919367,0.0006007406,0.09869317],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2091419,"threshold_uncertainty_score":0.6996493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03533142241742435,"score_gpt":0.3097635114370955,"score_spread":0.2744320890196711,"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."}}