{"id":"W6950775858","doi":"10.5683/sp3/yzjhml","title":"UNI-CEN Boundaries (DBF-Original Shorelines) - Census Metropolitan Area (CMA) - 2006 - Esri Shapefile 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; 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":[0.001491399,0.001872114,0.001448011,0.004684443,0.0009980296,0.002623825,0.003059179,0.001113522,0.113322],"category_scores_gemma":[0.006156737,0.001238256,0.0009711208,0.01276626,0.0003945617,0.001908782,0.002340552,0.001986693,0.1881852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002659463,"about_ca_system_score_gemma":0.00438771,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09700159,"about_ca_topic_score_gemma":0.1411022,"domain_scores_codex":[0.9983426,0.0002116423,0.000214875,0.0004087809,0.0005109917,0.0003110683],"domain_scores_gemma":[0.9964305,0.000393479,0.0003283302,0.0009852466,0.001557804,0.0003047312],"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":[0.00001868121,0.000006965874,0.0005421648,0.0001934416,0.000008845019,0.000007568982,0.00002466253,0.00005424353,0.0000626949,0.0004219021,0.9975268,0.001132018],"study_design_scores_gemma":[0.00005154999,0.000004119016,0.00394994,0.0001276959,0.000007736537,0.00002139058,0.00009428249,0.00007506511,0.0002033784,0.0004087829,0.9950395,0.00001649924],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005672553,0.00001271539,0.00004556994,0.00002053769,0.00001142988,0.000006698599,0.9987728,0.0001746958,0.0008987329],"genre_scores_gemma":[0.0001958293,0.00002238575,0.000228541,0.00001636768,0.000002714698,0.0000512436,0.9986295,0.00009875729,0.0007546191],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9029984,"threshold_uncertainty_score":0.3790997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03736553347409716,"score_gpt":0.3023391064242728,"score_spread":0.2649735729501756,"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."}}