{"id":"W6931815597","doi":"10.5683/sp3/tobzwr","title":"UNI-CEN Boundaries (CBF-Original Shorelines) - Census Tract (CT) - 1981 - File Geodatabase format (NAD83 CSRS / EPSG:3348)","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Shapefile; File format; North American Datum of 1927; Documentation; Census; Geocoding; Data file; Boundary (topology)","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":[0.001244207,0.001696137,0.001309884,0.004876526,0.0009863888,0.002408865,0.00283565,0.0009992932,0.1222708],"category_scores_gemma":[0.0057039,0.001078884,0.0008294829,0.0149716,0.0003948068,0.001787923,0.002142535,0.001818389,0.180949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003481791,"about_ca_system_score_gemma":0.005289364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1568091,"about_ca_topic_score_gemma":0.2076572,"domain_scores_codex":[0.9985138,0.0001704331,0.0001842686,0.0003775428,0.0004622874,0.0002917293],"domain_scores_gemma":[0.9963135,0.0003730889,0.000324375,0.0009611965,0.001733719,0.0002942032],"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":[0.00002268176,0.00000637681,0.0006612983,0.000185033,0.000009409272,0.000009001616,0.0000241526,0.00007081778,0.00006170613,0.0004857575,0.9972614,0.001202293],"study_design_scores_gemma":[0.00005152899,0.000003904975,0.005298359,0.0001183813,0.000007725725,0.00001975821,0.00009469238,0.00008271702,0.0002050316,0.0003860852,0.9937155,0.00001635483],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006295559,0.00001044461,0.00003823752,0.00001742704,0.00001073618,0.000006132705,0.998811,0.0001293211,0.0009137317],"genre_scores_gemma":[0.0002213361,0.00001805539,0.0001605093,0.00001186995,0.000002524865,0.00004341196,0.9985871,0.00007639525,0.0008788299],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1568091,"threshold_uncertainty_score":0.4090366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03226677674910003,"score_gpt":0.2992326958971893,"score_spread":0.2669659191480892,"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."}}