{"id":"W6894221112","doi":"10.5683/sp3/fndaoi","title":"UNI-CEN Boundaries (CBF-Harmonized Shorelines) - Census Metropolitan Area (CMA) - 1956 - File Geodatabase format (WGS84 / EPSG:4326)","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","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; Data file; Metropolitan area; 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":[0.001334823,0.001657997,0.001218028,0.004866329,0.0008754944,0.002287466,0.002861398,0.0009186184,0.08984939],"category_scores_gemma":[0.005604278,0.001059235,0.000860541,0.01313387,0.0003830113,0.001787218,0.002274826,0.001763206,0.1263249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002762642,"about_ca_system_score_gemma":0.004391623,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.132571,"about_ca_topic_score_gemma":0.1707562,"domain_scores_codex":[0.9985876,0.0001828523,0.0001793514,0.0003619326,0.0004217892,0.0002665318],"domain_scores_gemma":[0.9969684,0.0002953877,0.0002990119,0.000838211,0.001333465,0.0002654817],"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":[0.00002788229,0.000007569828,0.0009278012,0.0002128173,0.00001275772,0.00001110644,0.00003310748,0.00007609982,0.00007542197,0.000642341,0.9964574,0.001515566],"study_design_scores_gemma":[0.00005326042,0.000004676668,0.006218324,0.0001323447,0.000008336108,0.00002330569,0.0001093071,0.00007898112,0.0002050375,0.0004055238,0.9927441,0.00001677482],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008929972,0.00001518597,0.0000491182,0.00002150794,0.00001523099,0.000007139131,0.9986743,0.0001602555,0.0009680409],"genre_scores_gemma":[0.000324175,0.00002092914,0.0002116722,0.0000144301,0.000003092636,0.00004247335,0.9985329,0.00007704159,0.0007732755],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.867429,"threshold_uncertainty_score":0.3005762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03852425127381998,"score_gpt":0.2870334653644085,"score_spread":0.2485092140905885,"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."}}