{"id":"W6932003512","doi":"10.5683/sp3/jhhmuc","title":"UNI-CEN Boundaries (CBF-Harmonized Shorelines) - Census Metropolitan Area (CMA) - 1991 - File Geodatabase format (WGS84 / EPSG:4326)","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Shapefile; North American Datum of 1927; Census; File format; 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":[0.001946173,0.001304559,0.00125573,0.005315845,0.00073372,0.002230018,0.002607428,0.000870576,0.0822091],"category_scores_gemma":[0.01012595,0.0009324312,0.0008709838,0.01539659,0.0003147988,0.001287695,0.0023529,0.001600053,0.09336847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003228067,"about_ca_system_score_gemma":0.006053119,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1143586,"about_ca_topic_score_gemma":0.1408419,"domain_scores_codex":[0.9982394,0.0002970808,0.000329579,0.0003659743,0.0004758351,0.0002920571],"domain_scores_gemma":[0.9948986,0.0006668335,0.000692293,0.001127254,0.002204547,0.0004105189],"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":[0.00004374926,0.000008992115,0.00164201,0.0003446573,0.00002040181,0.00001243005,0.00003866906,0.00008411638,0.00005747387,0.000690259,0.9952878,0.001769436],"study_design_scores_gemma":[0.0001030269,0.000006519548,0.01348859,0.0002165843,0.00001745648,0.00003111439,0.0001220515,0.0000957541,0.0002200198,0.0004183382,0.9852628,0.0000178042],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001077891,0.00001808352,0.00004916622,0.00002563657,0.000009712133,0.00001110905,0.9988046,0.0001096519,0.0008643128],"genre_scores_gemma":[0.0003932385,0.00003134791,0.0002672497,0.00002012936,0.000003796859,0.00009206856,0.9982957,0.00006671884,0.0008296474],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8856414,"threshold_uncertainty_score":0.2750168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07012425155354843,"score_gpt":0.3349634757370519,"score_spread":0.2648392241835035,"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."}}