{"id":"W1563183271","doi":"10.1111/cag.12103","title":"A Spatial Assessment of Dentist Supply in Ontario, Canada","year":2014,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Metropolitan area; Downtown; Windsor; Geography; Census; Jurisdiction; Socioeconomics; Medicine; Environmental health; Archaeology; Political science; Population; Sociology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004988111,0.0002504326,0.000303838,0.003868345,0.002904657,0.001703693,0.0009163177,0.0002474303,0.005009818],"category_scores_gemma":[0.00277131,0.0002777099,0.0003895793,0.01200416,0.0007126459,0.0004361901,0.001203057,0.0002208625,0.0004618092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03739344,"about_ca_system_score_gemma":0.04939665,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9976301,"about_ca_topic_score_gemma":0.9990885,"domain_scores_codex":[0.9990979,0.00004601935,0.00005965498,0.0001039629,0.0004727244,0.0002197019],"domain_scores_gemma":[0.9970995,0.0002001951,0.0004243639,0.00008680564,0.001783617,0.0004054905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007990401,0.00002197405,0.9591337,0.0002410532,0.00006640772,0.0002308281,0.005723358,0.001103053,0.0004387175,0.001432395,0.008208935,0.02331962],"study_design_scores_gemma":[0.000003662232,0.0000149949,0.9806687,0.00007058089,0.0000181128,0.00006303139,0.007239532,0.0006607687,0.00007396624,0.0000961564,0.01107831,0.00001219797],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9378461,0.001759543,0.0007324868,0.001013716,0.00002346017,0.0001576306,0.03186649,0.0000489314,0.02655161],"genre_scores_gemma":[0.9849338,0.001036477,0.0009958991,0.00007085279,0.000008462716,0.00005449159,0.004909875,0.00001295202,0.007977293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03739344,"threshold_uncertainty_score":0.2713096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01207263958069443,"score_gpt":0.2858324259176082,"score_spread":0.2737597863369138,"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."}}