{"id":"W6983405274","doi":"","title":"A medical GIS approach to defining rural for medical education research and policy","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); Geographic information system; Medical school; Location; Rural area; Medical practice; Record linkage; MEDLINE","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":[0.01453833,0.0006384754,0.0008573928,0.01170984,0.0032661,0.00994782,0.002457683,0.002042269,0.01567901],"category_scores_gemma":[0.02758905,0.0006597516,0.0009012209,0.01237561,0.008466065,0.007113127,0.006589316,0.002733875,0.00118582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00664873,"about_ca_system_score_gemma":0.01345419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01440147,"about_ca_topic_score_gemma":0.01659653,"domain_scores_codex":[0.9883232,0.009603367,0.0005141557,0.0006084432,0.0006496498,0.000301244],"domain_scores_gemma":[0.9757934,0.01823375,0.001488116,0.001879124,0.001601783,0.001003847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002246906,0.00005677323,0.004279502,0.000363015,0.00004849514,0.0002125216,0.006447617,0.003421813,0.0001692285,0.9108802,0.01628344,0.05781506],"study_design_scores_gemma":[0.00002312652,0.00005001616,0.003073818,0.0007407777,0.00003538966,0.0002551122,0.0216297,0.007293563,0.0002277906,0.6104614,0.3561718,0.00003745823],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01792302,0.006608197,0.6736184,0.09903866,0.001041223,0.001241721,0.004112417,0.0008250224,0.1955913],"genre_scores_gemma":[0.3103282,0.006856446,0.6617196,0.003613979,0.0008347716,0.002066926,0.001767574,0.0001952149,0.01261739],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01567901,"threshold_uncertainty_score":0.07688695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02828109319836672,"score_gpt":0.3988658823498776,"score_spread":0.3705847891515108,"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."}}