{"id":"W6931653345","doi":"10.5683/sp3/qmd19q","title":"Postal Code Conversion File [Canada], February 2021, Census of Canada 2016","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geocoding; Census; Geographic information system; Data file; Location; Geographic coordinate system; Spatial analysis; Distribution (mathematics)","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":[0.001383292,0.001140313,0.0009409806,0.008141912,0.004136332,0.004172285,0.002925051,0.0008673225,0.2194606],"category_scores_gemma":[0.01410867,0.0008534669,0.0007737398,0.02470008,0.0005991554,0.002167653,0.001495854,0.001865447,0.08171464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03910213,"about_ca_system_score_gemma":0.1188435,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9853612,"about_ca_topic_score_gemma":0.9841869,"domain_scores_codex":[0.9967912,0.0001478899,0.0002424635,0.0002623356,0.001891677,0.0006644383],"domain_scores_gemma":[0.9831126,0.0003842005,0.0002921426,0.000393696,0.01503152,0.0007858035],"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":[0.00001112335,0.000004574727,0.0004770292,0.0000987241,0.000003126421,0.00001020055,0.00004522458,0.00005295686,0.000009965922,0.0009624711,0.9939761,0.004348559],"study_design_scores_gemma":[0.00002474621,0.000005583784,0.01388449,0.0002510918,0.000009915532,0.00003571762,0.0004841108,0.0002023711,0.00006810658,0.0006224413,0.984382,0.00002950961],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003948033,0.0002522727,0.0002503222,0.0007154336,0.0002688056,0.0001656934,0.9647129,0.0003307327,0.03290908],"genre_scores_gemma":[0.005184718,0.001522388,0.001817844,0.0006435496,0.0001133802,0.0005120267,0.8823938,0.0006655126,0.1071467],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2194606,"threshold_uncertainty_score":0.7341689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01188337176472066,"score_gpt":0.2364539975836359,"score_spread":0.2245706258189152,"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."}}