{"id":"W6969251814","doi":"10.5683/sp3/rkxuoy","title":"UNI-CEN Boundaries (CBF-Harmonized Shorelines) - Census Metropolitan Area (CMA) - 1951 - 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; 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":[0.001342775,0.001671762,0.00125164,0.00484811,0.0008781734,0.002357577,0.002938297,0.0009426258,0.08915807],"category_scores_gemma":[0.00569683,0.001093136,0.000884456,0.01317178,0.0003907443,0.001775747,0.002304304,0.00180691,0.124465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002919368,"about_ca_system_score_gemma":0.00461411,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1390164,"about_ca_topic_score_gemma":0.1787548,"domain_scores_codex":[0.9985814,0.0001810597,0.000175225,0.0003653102,0.0004245391,0.0002725096],"domain_scores_gemma":[0.9969609,0.0003043113,0.0002943832,0.0008406287,0.001334088,0.0002656306],"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":[0.0000270435,0.000007551796,0.0009158642,0.0002140655,0.0000134178,0.00001105427,0.00003259053,0.00007826491,0.00007597525,0.0006339543,0.9965165,0.001473739],"study_design_scores_gemma":[0.00005842052,0.000004735039,0.00639825,0.0001383523,0.000009183692,0.00002293399,0.0001127381,0.00008369909,0.0002148176,0.0004179815,0.9925212,0.00001760694],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000904168,0.00001531767,0.00004915257,0.00002156422,0.00001514788,0.000007451408,0.9986863,0.0001626117,0.0009520691],"genre_scores_gemma":[0.0003168302,0.00002037797,0.0002059072,0.00001435307,0.000002965071,0.00004452401,0.9985911,0.00007762962,0.0007262662],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8609836,"threshold_uncertainty_score":0.2982635,"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."}}