{"id":"W6931717998","doi":"10.5683/sp3/fwuum3","title":"Postal Code Conversion File [Canada], March 2006, Census of Canada 2001","year":2006,"lang":"en","type":"dataset","venue":"Borealis","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","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":[0.001364141,0.001133182,0.0008904011,0.008486623,0.004076589,0.003890191,0.003129635,0.0008328338,0.1957451],"category_scores_gemma":[0.01305415,0.0009193167,0.0006242876,0.02862285,0.0005734338,0.002077417,0.001210065,0.001933161,0.07822864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04077188,"about_ca_system_score_gemma":0.1070488,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9852873,"about_ca_topic_score_gemma":0.9830614,"domain_scores_codex":[0.9970006,0.0001388217,0.0002207003,0.0002681846,0.00179277,0.0005788293],"domain_scores_gemma":[0.9827071,0.0004162027,0.000329,0.0004882882,0.01544197,0.0006174534],"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":[0.00001391514,0.000006684458,0.0005236531,0.00009550051,0.000003023761,0.0000116272,0.00006438776,0.00006808634,0.00001494324,0.001228371,0.9922012,0.005768637],"study_design_scores_gemma":[0.00002017354,0.000005383889,0.01489843,0.0001646513,0.000008180784,0.00003512742,0.0004431869,0.0001957403,0.00009236029,0.000457956,0.9836496,0.00002922471],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004958417,0.0002081251,0.0003722314,0.0005772725,0.0002149343,0.0002155514,0.9600687,0.0004345985,0.03741277],"genre_scores_gemma":[0.004977069,0.001271203,0.002782826,0.0005030484,0.00007220277,0.000549398,0.8583522,0.000712834,0.1307793],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1957451,"threshold_uncertainty_score":0.6548326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02266666024923092,"score_gpt":0.2946778589153795,"score_spread":0.2720111986661485,"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."}}