{"id":"W6950790858","doi":"10.5683/sp3/smes10","title":"UNI-CEN Boundaries (DBF-Original Shorelines) - Census Metropolitan Area (CMA) - 2021 - Esri Shapefile format (NAD83 CSRS / EPSG:3348)","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Shapefile; North American Datum of 1927; File format; Census; Documentation; Geocoding; Boundary (topology); Metropolitan area","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001763296,0.001448026,0.001252342,0.005470457,0.0007470307,0.002569157,0.002471397,0.000993158,0.104343],"category_scores_gemma":[0.01007322,0.0009468645,0.0008864918,0.014189,0.0003541739,0.001363506,0.002427856,0.001443866,0.1290958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002726917,"about_ca_system_score_gemma":0.004777716,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07961664,"about_ca_topic_score_gemma":0.1114998,"domain_scores_codex":[0.998271,0.0002817835,0.0003402292,0.0003645905,0.0004411745,0.0003012195],"domain_scores_gemma":[0.9952731,0.0007184361,0.0006459688,0.001042227,0.001888115,0.0004321735],"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":[0.00003033737,0.00000719542,0.001130988,0.0003794267,0.0000175205,0.00001145639,0.00003127233,0.00006558735,0.00004900998,0.0005966281,0.9962308,0.001449855],"study_design_scores_gemma":[0.00009305198,0.000004902492,0.00732231,0.0002370467,0.00001526831,0.00003260699,0.0001187229,0.00007569966,0.0001828679,0.0004887037,0.9914124,0.00001629095],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006870818,0.0000189413,0.00004027114,0.00002561384,0.000009191379,0.000008017374,0.9988512,0.0001342061,0.0008437959],"genre_scores_gemma":[0.0003440024,0.00003904259,0.0002699731,0.00002917501,0.000004311447,0.00008160225,0.998256,0.0000949361,0.0008808426],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9203833,"threshold_uncertainty_score":0.349062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07124279724632619,"score_gpt":0.3534486320823481,"score_spread":0.2822058348360219,"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."}}