{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003837882,0.0003135185,0.0008682578,0.0003615495,0.0002293453,0.00003865965,0.0002527249,0.000153824,0.0002810742],"category_scores_gemma":[0.0006951568,0.0003248814,0.0001142755,0.001036117,0.0001440069,0.0002822474,0.00007776324,0.0006692792,0.00009522562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004917216,"about_ca_system_score_gemma":0.001630546,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008315302,"about_ca_topic_score_gemma":0.02868506,"domain_scores_codex":[0.9950057,0.0008853772,0.001135316,0.0009241053,0.0007283838,0.00132108],"domain_scores_gemma":[0.9970359,0.0002268807,0.0005736653,0.001005206,0.0001865841,0.0009717294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009259001,0.0005060975,0.9700435,0.0005901062,0.00002972558,0.0000702543,0.002270165,0.000009346268,0.00001104414,0.0003697883,0.01706034,0.008113719],"study_design_scores_gemma":[0.00246306,0.0003662458,0.966922,0.0002370991,0.00000326283,0.000055164,0.0002256533,0.001776832,0.000009131821,0.00004525442,0.02763103,0.0002652636],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9574192,0.003566652,0.001888344,0.02944812,0.0008156401,0.002262921,0.0002291848,0.0006237169,0.003746258],"genre_scores_gemma":[0.9915454,0.001026774,0.00162166,0.004579277,0.0002275486,0.00007968912,0.0006018553,0.00005757995,0.0002601497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03412631,"threshold_uncertainty_score":0.9999203,"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."}}