{"id":"W6950661062","doi":"10.5683/sp3/28vqpb","title":"Postal Code Conversion File [Canada], December 2009, Census of Canada 2006","year":2009,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geocoding; Census; Geographic information system; Data file; Record linkage; Code (set theory); Location; File format","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":[0.001309459,0.001167325,0.0009287923,0.008595273,0.003886883,0.003677628,0.003226156,0.0007686518,0.1851603],"category_scores_gemma":[0.01240945,0.0008580127,0.0006725589,0.02812348,0.0005884526,0.002085297,0.001310157,0.001890864,0.0729266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04006296,"about_ca_system_score_gemma":0.1134592,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9871638,"about_ca_topic_score_gemma":0.9854365,"domain_scores_codex":[0.9968981,0.0001402838,0.0002314987,0.0002816583,0.001849823,0.0005986909],"domain_scores_gemma":[0.983575,0.0003406291,0.0003012271,0.0004281481,0.01474965,0.0006053925],"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":[0.00001438024,0.000006614732,0.0005745872,0.00009944384,0.000003375624,0.00001148015,0.00005865279,0.0000654758,0.00001531874,0.001209917,0.9926232,0.005317412],"study_design_scores_gemma":[0.00002103339,0.000005690109,0.01585924,0.0001798406,0.000008853262,0.00003771019,0.0004394603,0.0002020275,0.00008931831,0.0004804928,0.9826469,0.0000293743],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004108195,0.0001894446,0.000313249,0.0004776888,0.0001917015,0.0001717935,0.9678118,0.0003304601,0.03010309],"genre_scores_gemma":[0.004600884,0.001228754,0.002529016,0.0004543804,0.00006954379,0.0004646813,0.8818073,0.0006273209,0.1082182],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1851603,"threshold_uncertainty_score":0.619423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008670954747919847,"score_gpt":0.2207559492783435,"score_spread":0.2120849945304237,"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."}}