{"id":"W2008565433","doi":"10.3390/ijgi3031039","title":"Geographical Variation of Incidence of Chronic Obstructive Pulmonary Disease in Manitoba, Canada","year":2014,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Manitoba Health Research Council","keywords":"Scan statistic; Confounding; Statistic; Cluster (spacecraft); Geography; Population; Incidence (geometry); Pulmonary disease; Statistics; Medicine; Cartography; Environmental health; Computer science; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004166095,0.000101365,0.0002590512,0.0004630028,0.00001626341,0.00001408745,0.0002823925,0.00004478641,0.00005405687],"category_scores_gemma":[0.0008496236,0.00009474075,0.00009976741,0.0001971531,0.00006137714,0.001332584,0.00005429675,0.0001838142,0.000003366306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005031046,"about_ca_system_score_gemma":0.0009422448,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03085895,"about_ca_topic_score_gemma":0.01375593,"domain_scores_codex":[0.9977053,0.00006005743,0.0009918438,0.00006552423,0.001061194,0.0001161044],"domain_scores_gemma":[0.9971835,0.0001146971,0.001086531,0.0001554888,0.001330809,0.0001289964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002922844,0.0003169158,0.9078757,0.000432861,0.0003025882,0.00008584144,0.0004166933,0.008956914,0.0009672135,0.003404172,0.0005180787,0.07380016],"study_design_scores_gemma":[0.0009947427,0.00008591651,0.9822853,0.0003145239,0.00004001067,0.00006005952,0.00009164746,0.01354246,0.0002112326,0.0005743022,0.001725844,0.00007400376],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920791,0.00009406559,0.005423471,0.0006488252,0.0008166945,0.0001751607,0.0002500454,0.000006142637,0.0005065049],"genre_scores_gemma":[0.9990114,0.00005421281,0.0004126804,0.0001762461,0.0001543299,0.000003100392,0.0001804909,0.000004363526,0.000003159098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07440954,"threshold_uncertainty_score":0.9755946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004476759938024196,"score_gpt":0.2276471302202367,"score_spread":0.2231703702822125,"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."}}