{"id":"W2041992473","doi":"10.1016/j.healthplace.2011.07.009","title":"Spatial aberration vs. geographical substance: Representing place in public health surveillance","year":2011,"lang":"en","type":"article","venue":"Health & Place","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Public health; Public health surveillance; Health geography; Public relations; Public space; Environmental health; Health promotion; Political science; International health; Medicine","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":[0.003428722,0.0003415561,0.0005737322,0.002781615,0.0004742953,0.00299318,0.0007979874,0.0005928108,0.001435696],"category_scores_gemma":[0.0261779,0.0002714614,0.000785074,0.005732124,0.001521052,0.003403386,0.003050531,0.0008591912,0.0002544035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001465187,"about_ca_system_score_gemma":0.001798124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04735953,"about_ca_topic_score_gemma":0.04958376,"domain_scores_codex":[0.9974739,0.001224634,0.0002847014,0.0003346182,0.000490084,0.0001920687],"domain_scores_gemma":[0.9888846,0.005443291,0.002023909,0.001628904,0.001737297,0.0002820274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008712083,0.0000962677,0.5934435,0.000391991,0.0002504086,0.0002192153,0.003302884,0.09256879,0.003299789,0.0601874,0.003493591,0.241875],"study_design_scores_gemma":[0.0001421962,0.0004489489,0.2494252,0.0002655208,0.0004129233,0.0006018825,0.007243036,0.5866063,0.0061335,0.1217506,0.02676663,0.0002032935],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4796429,0.001348076,0.4952656,0.005683318,0.000268309,0.0002008921,0.008097157,0.0006208507,0.008872821],"genre_scores_gemma":[0.9420294,0.0002771906,0.05591415,0.00009707912,0.00004275763,0.0000436542,0.001148932,0.0000228715,0.0004239538],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04735953,"threshold_uncertainty_score":0.09416771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06085179195816885,"score_gpt":0.3151026103634171,"score_spread":0.2542508184052482,"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."}}