{"id":"W1865346788","doi":"","title":"One resident's view on the shortage of rural physicians.","year":2004,"lang":"en","type":"article","venue":"PubMed","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Economic shortage; Data science; Computer science; Medicine; World Wide Web; Government (linguistics)","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":[0.002535454,0.0003602466,0.0002904321,0.001010933,0.00368181,0.002826423,0.001227056,0.009091461,0.01173619],"category_scores_gemma":[0.009279658,0.000268864,0.0003049501,0.0008749306,0.002094579,0.003648404,0.002008753,0.008972411,0.001754323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001506496,"about_ca_system_score_gemma":0.006118033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01140734,"about_ca_topic_score_gemma":0.03051226,"domain_scores_codex":[0.9991185,0.0002789499,0.00006474077,0.00007419578,0.0002198392,0.0002436926],"domain_scores_gemma":[0.9919063,0.002766008,0.0005969328,0.000121453,0.002022095,0.002587307],"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":[0.00004121328,0.00002022252,0.001000613,0.0003182325,0.000006231544,0.0008379344,0.002484744,0.00004041699,0.0002751203,0.004963577,0.9649559,0.0250557],"study_design_scores_gemma":[0.00001351323,0.00008521146,0.003438653,0.0007601032,0.00001490994,0.001081649,0.01242695,0.00004383253,0.0001802236,0.001790836,0.9801395,0.0000246761],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002258161,0.0122532,0.00008254392,0.9617363,0.01727624,0.000004030894,0.00006888717,0.0000206694,0.006300077],"genre_scores_gemma":[0.05984706,0.04759077,0.0004358099,0.7939098,0.0506817,0.00002204311,0.0001118061,0.00006710877,0.047334],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01173619,"threshold_uncertainty_score":0.03926146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07426522293591672,"score_gpt":0.3742871518067881,"score_spread":0.3000219288708713,"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."}}