{"id":"W6960519810","doi":"10.1371/journal.pone.0060751.g004","title":"City of Calgary map indicating malaria incidence by ward based on 2011 census data.","year":2015,"lang":"en","type":"other","venue":"Figshare","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Incidence (geometry); Malaria; Demographic analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050123,0.001406603,0.0006994745,0.003561436,0.0008958559,0.001276709,0.001833553,0.0005924256,0.1391144],"category_scores_gemma":[0.002874955,0.0006048132,0.0005695981,0.007173359,0.0004638874,0.0007966954,0.001039355,0.00174436,0.02977458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006346351,"about_ca_system_score_gemma":0.01201554,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7707959,"about_ca_topic_score_gemma":0.842671,"domain_scores_codex":[0.9994493,0.00005179652,0.00003210349,0.00009030992,0.0001725619,0.0002039767],"domain_scores_gemma":[0.9974432,0.0001341781,0.0002534772,0.00009923649,0.001681806,0.0003880889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005487013,0.00001507242,0.002845971,0.000188507,0.00001280925,0.0000360842,0.00005949891,0.0001836881,0.00003924875,0.0003427649,0.9901099,0.006111622],"study_design_scores_gemma":[0.0003102272,0.00005055494,0.3974833,0.0008764315,0.00005178047,0.0001055423,0.001094285,0.0006632935,0.0001471266,0.0004244768,0.5987436,0.00004940404],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005152849,0.001140067,0.0003733621,0.0009916549,0.0009793002,0.0004953384,0.8870556,0.0004676988,0.1033441],"genre_scores_gemma":[0.03482734,0.002832458,0.003615962,0.001019461,0.0002761057,0.0007895256,0.8304242,0.0003811915,0.1258336],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2292041,"threshold_uncertainty_score":0.4653841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07301673599787933,"score_gpt":0.2382165705543307,"score_spread":0.1651998345564514,"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."}}