{"id":"W2142422842","doi":"10.1111/cag.12224","title":"Comparing geographical distribution of community‐based physiotherapists and family physicians across Saskatchewan","year":2015,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"University of Saskatchewan","keywords":"Ethnic group; Immigration; Distribution (mathematics); Geography; Population; Key (lock); Low income; Medicine; Socioeconomics; Environmental health; Political science; Sociology; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0008312422,0.0002268982,0.0002508981,0.002064822,0.001541358,0.001088122,0.0009288546,0.0004021887,0.006870442],"category_scores_gemma":[0.002906117,0.0002877503,0.0003443661,0.004308825,0.0006554252,0.0005995056,0.001536761,0.0004385723,0.000702238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008777234,"about_ca_system_score_gemma":0.02063585,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9122215,"about_ca_topic_score_gemma":0.9729415,"domain_scores_codex":[0.9990464,0.0002009552,0.0001170802,0.0001798988,0.0001884877,0.0002671794],"domain_scores_gemma":[0.9969707,0.00069146,0.0004983018,0.0001338188,0.0009988996,0.0007067465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001239733,0.00004439281,0.9692492,0.0002098711,0.0001300995,0.0003561625,0.004466353,0.0002828203,0.001444616,0.0004364432,0.00282828,0.02042778],"study_design_scores_gemma":[0.000007609324,0.000027925,0.9877641,0.00009452899,0.00002260446,0.0001493352,0.01022522,0.00012447,0.0001055674,0.00008005252,0.001382387,0.00001624163],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867099,0.0006633335,0.0004484627,0.00100868,0.00002372975,0.0001035032,0.003770159,0.00003196051,0.00724031],"genre_scores_gemma":[0.9948657,0.0006467613,0.0005530975,0.0003831174,0.000005836207,0.0001268357,0.0009551693,0.00001226897,0.002451162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08777851,"threshold_uncertainty_score":0.1765909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04100515310966647,"score_gpt":0.3324311231306214,"score_spread":0.2914259700209549,"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."}}