{"id":"W7020500738","doi":"","title":"Learners and locations pilot: Merging data to track geographic patterns in background, education, and practice locations proof of concept","year":2013,"lang":"en","type":"article","venue":"The Journal of Macrodynamic Analysis (Memorial University of Newfoundland)","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic shortage; Unit (ring theory); Location; Geographic information system; Cohort; Linkage (software); Medical school; Rural area; Record linkage","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0179795,0.0007753876,0.0007221723,0.003199576,0.0007710243,0.002260375,0.002115438,0.0007219446,0.01007735],"category_scores_gemma":[0.0357833,0.0006827664,0.000945053,0.002421851,0.0005804977,0.003137944,0.003399571,0.0009927924,0.002758939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001066937,"about_ca_system_score_gemma":0.004918128,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0201976,"about_ca_topic_score_gemma":0.0205742,"domain_scores_codex":[0.9913945,0.003313596,0.001046148,0.001863645,0.001880112,0.0005020121],"domain_scores_gemma":[0.9667019,0.01254324,0.003458965,0.007673093,0.007769709,0.001853184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002921979,0.003259792,0.4872851,0.001940876,0.000700347,0.000667458,0.007242781,0.006726708,0.01368312,0.004653997,0.06644578,0.4044721],"study_design_scores_gemma":[0.003122472,0.008902634,0.5961394,0.001001551,0.0008584738,0.001083156,0.0112523,0.07367285,0.03485442,0.005354691,0.2633103,0.0004477719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4673377,0.0002520538,0.2076699,0.001706354,0.0005040313,0.03580387,0.2536301,0.01823201,0.01486397],"genre_scores_gemma":[0.3309269,0.0001333225,0.5444257,0.000358971,0.00009438858,0.01795708,0.1000512,0.0007023677,0.005350086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9798024,"threshold_uncertainty_score":0.09508586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04258668875480686,"score_gpt":0.3592000555802177,"score_spread":0.3166133668254109,"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."}}