{"id":"W4248005146","doi":"10.1503/cmaj.1041374","title":"Mapping malaria","year":2004,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Malaria Research and Control","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Malaria; Computer science; Geography; Data science; Medicine; Immunology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002572144,0.001049781,0.0009514825,0.0007871508,0.001939523,0.001941785,0.001674509,0.01137805,0.01110601],"category_scores_gemma":[0.01262136,0.0005959339,0.0006560389,0.0004640195,0.001251084,0.003945776,0.001344619,0.02371096,0.01240272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001793873,"about_ca_system_score_gemma":0.002089426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007312328,"about_ca_topic_score_gemma":0.01916765,"domain_scores_codex":[0.9986922,0.000370318,0.0001282424,0.0002380619,0.0004615842,0.000109605],"domain_scores_gemma":[0.9933873,0.001922567,0.0002731706,0.0003914792,0.002554791,0.001470678],"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":[0.00001606442,0.00001545753,0.0002311068,0.00002710753,0.000005871887,0.0003769086,0.00005606332,0.00001865105,0.0001000245,0.000552502,0.9836344,0.01496591],"study_design_scores_gemma":[0.00003994599,0.00006513276,0.001026124,0.000248595,0.00001431839,0.002516509,0.0002965152,0.00010851,0.0001048625,0.003816356,0.9917307,0.00003234944],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002620546,0.005483451,0.00035128,0.9381796,0.05182256,0.00002817379,0.00007481174,0.00005638309,0.0037418],"genre_scores_gemma":[0.003611102,0.005853849,0.00113261,0.9144639,0.0540355,0.00007948803,0.00007564892,0.00005206712,0.02069578],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01137805,"threshold_uncertainty_score":0.0371533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01001355322260963,"score_gpt":0.2416850351070777,"score_spread":0.2316714818844681,"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."}}