{"id":"W2020552824","doi":"10.1016/j.sste.2012.02.003","title":"Investigating impacts of positional error on potential health care accessibility","year":2012,"lang":"en","type":"article","venue":"Spatial and Spatio-temporal Epidemiology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of Saskatchewan","funders":"","keywords":"Geocoding; Geographic information system; Computer science; Geography; Transport engineering; Data mining; Cartography; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002967866,0.0001824278,0.0005851715,0.00007688771,0.0005553628,0.00001186587,0.0001793883,0.000210809,0.000229974],"category_scores_gemma":[0.001063417,0.000154162,0.0001236877,0.000157039,0.0007917398,0.0003671027,0.000043687,0.0002424679,0.000005222711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000120229,"about_ca_system_score_gemma":0.0004214732,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07683054,"about_ca_topic_score_gemma":0.02431356,"domain_scores_codex":[0.9967202,0.0012146,0.0008227804,0.0003581069,0.000250372,0.0006339629],"domain_scores_gemma":[0.998158,0.0004212105,0.0006037428,0.0001932123,0.0001316176,0.0004922556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005974603,0.00008531028,0.9858809,0.00008102802,0.00001261615,3.610205e-7,0.004638722,0.000009959911,0.00002073276,0.004018937,0.0002164247,0.004975307],"study_design_scores_gemma":[0.0002852292,0.0001975458,0.9933016,0.00003867281,0.00001316075,3.827361e-7,0.0007815492,0.00009699883,0.00005181122,0.00453355,0.0005483694,0.0001511227],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915279,0.00107126,0.0008577054,0.004722137,0.0004868103,0.0003508468,0.00009755258,0.00004875433,0.0008370656],"genre_scores_gemma":[0.996034,0.00002434859,0.001568069,0.001324326,0.0006892699,0.00001173811,0.0003201167,0.000009507259,0.00001865176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05251698,"threshold_uncertainty_score":0.9934902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06566188047929432,"score_gpt":0.3863668541337476,"score_spread":0.3207049736544532,"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."}}