{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008855492,0.0003365963,0.0003834987,0.002912204,0.001545108,0.001106992,0.00118901,0.0002263498,0.001122816],"category_scores_gemma":[0.003918312,0.0002562983,0.0005075432,0.007829901,0.0006533225,0.0002515233,0.0008558999,0.0003952889,0.0001165507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02536899,"about_ca_system_score_gemma":0.03849543,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9968659,"about_ca_topic_score_gemma":0.9980736,"domain_scores_codex":[0.9990972,0.0001300518,0.00007126544,0.0001581752,0.0003416441,0.0002016323],"domain_scores_gemma":[0.9973131,0.0002243068,0.0004342541,0.00009552743,0.001561953,0.000370809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002353118,0.000009214267,0.9937478,0.00004148435,0.00007844184,0.00004537705,0.0003433789,0.0004793656,0.0002031852,0.0001771744,0.0009016669,0.003949351],"study_design_scores_gemma":[0.000004126789,0.000007684605,0.9976506,0.00003175003,0.00003418465,0.00003755423,0.0005932034,0.0006819433,0.00005654007,0.0000332484,0.0008607033,0.000008476743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836946,0.002420178,0.0006947865,0.0009032032,0.00003152056,0.00009325856,0.008739877,0.0000449672,0.003377561],"genre_scores_gemma":[0.9948069,0.0009077245,0.0008349823,0.0001049165,0.000008369282,0.00002940744,0.002514606,0.000006945688,0.0007859733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02536899,"threshold_uncertainty_score":0.1840658,"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."}}