{"id":"W6913066664","doi":"10.5683/sp3/esgfaw","title":"UNI-CEN Boundaries (CBF-Harmonized Shorelines) - Census Tract (CT) - 1951 - File Geodatabase format (WGS84 / EPSG:4326)","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Infective Endocarditis Diagnosis and Management","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; Documentation; Census; Geocoding; Data file; 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":[0.001044381,0.001297939,0.0009453843,0.003946844,0.0005135026,0.001661583,0.002140648,0.0007632897,0.05962243],"category_scores_gemma":[0.005681041,0.0007586118,0.0007817918,0.009573939,0.0003207144,0.0009254532,0.001586269,0.001337402,0.06801953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002357795,"about_ca_system_score_gemma":0.003885235,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1224296,"about_ca_topic_score_gemma":0.1551988,"domain_scores_codex":[0.9990739,0.0001333768,0.0001506505,0.0002379885,0.0002346146,0.0001694743],"domain_scores_gemma":[0.9975299,0.0003152349,0.0003344518,0.0005801697,0.001004332,0.0002358746],"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":[0.00005135983,0.00001163469,0.00231639,0.0003413033,0.00002518681,0.00001661289,0.00003336217,0.000174593,0.00007866065,0.0006378028,0.9942806,0.002032595],"study_design_scores_gemma":[0.0001170248,0.000007822847,0.01542521,0.0002246466,0.000019565,0.00004591398,0.0001120386,0.0001984819,0.000293742,0.0004633854,0.9830713,0.00002094389],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001319574,0.00001902995,0.0000538904,0.00002079567,0.00001081809,0.000007770173,0.9988523,0.0001392001,0.0007641484],"genre_scores_gemma":[0.000499035,0.0000258039,0.0002283317,0.00001613124,0.000003319246,0.0000431622,0.9984595,0.00005094269,0.0006738357],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8775704,"threshold_uncertainty_score":0.243434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02632850691468323,"score_gpt":0.2916338449344782,"score_spread":0.265305338019795,"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."}}