{"id":"W6932318884","doi":"10.5683/sp3/im9av0","title":"UNI-CEN Boundaries (CBF-Harmonized Shorelines) - Census Metropolitan Area (CMA) - 1956 - Esri Shapefile format (WGS84 / EPSG:4326)","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Hematopoietic Stem Cell Transplantation","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":[0.001300702,0.001395629,0.001088226,0.004063556,0.0006388254,0.00204999,0.002564897,0.000863568,0.06116491],"category_scores_gemma":[0.00608902,0.0008254231,0.0008209625,0.009833686,0.0003421011,0.00114265,0.001812412,0.00148379,0.08314742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002581228,"about_ca_system_score_gemma":0.004117861,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09836722,"about_ca_topic_score_gemma":0.1331368,"domain_scores_codex":[0.9988709,0.0001648355,0.0001819536,0.000296814,0.0002820747,0.0002033724],"domain_scores_gemma":[0.997403,0.0003306441,0.0003638077,0.0006348956,0.00100193,0.0002656349],"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":[0.00004522107,0.00001022725,0.001771237,0.0003360785,0.0000228941,0.00001497121,0.0000292882,0.0001266731,0.00007506728,0.0007393094,0.9950218,0.00180712],"study_design_scores_gemma":[0.0000875027,0.000005942907,0.008874773,0.0001808065,0.00001602777,0.00003723233,0.00009481295,0.00011864,0.000234105,0.0004825489,0.9898502,0.00001749533],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009914552,0.00002206517,0.000047102,0.00002352221,0.000009978691,0.000006484452,0.9988495,0.0001284015,0.0008136929],"genre_scores_gemma":[0.0004204694,0.00003128773,0.0002336716,0.00002092264,0.000003325444,0.00004618769,0.9984854,0.00005539659,0.0007034519],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9016328,"threshold_uncertainty_score":0.204617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03723498152796793,"score_gpt":0.2939808628739521,"score_spread":0.2567458813459841,"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."}}