{"id":"W4407491786","doi":"10.1101/2025.02.10.637410","title":"Craft: A Machine Learning Approach to Dengue Subtyping","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Response Biomedical (Canada)","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Subtyping; Craft; Dengue fever; Computer science; Artificial intelligence; Programming language; Geography; Archaeology; Virology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00162425,0.001521827,0.001169881,0.003480438,0.001018595,0.001444496,0.002076246,0.001552005,0.004611124],"category_scores_gemma":[0.006706299,0.0005962137,0.00127944,0.002158472,0.0007276252,0.00130209,0.001192647,0.002299321,0.002389071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009135499,"about_ca_system_score_gemma":0.002351773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01440838,"about_ca_topic_score_gemma":0.01683782,"domain_scores_codex":[0.9988092,0.0002719413,0.00007923807,0.0004477869,0.0002784535,0.0001133489],"domain_scores_gemma":[0.9970264,0.001791014,0.0001752698,0.0003861471,0.0004678031,0.0001533069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004864897,0.0003506876,0.007861954,0.0003175118,0.0002435816,0.0002770011,0.0001872086,0.1960913,0.009147692,0.007439787,0.04296753,0.7346292],"study_design_scores_gemma":[0.00002081341,0.00003350781,0.0003743759,0.00001489996,0.00001166515,0.0000570093,0.000024573,0.9867476,0.001671685,0.007698837,0.003330856,0.00001409965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02807211,0.001130504,0.9284912,0.0007173349,0.0001594629,0.0002601473,0.003299555,0.03546416,0.002405584],"genre_scores_gemma":[0.1775388,0.00051917,0.8092358,0.0004143558,0.0001958551,0.0003701044,0.007002649,0.001156962,0.003566329],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01440838,"threshold_uncertainty_score":0.02864903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01262247836599195,"score_gpt":0.2334790471493553,"score_spread":0.2208565687833633,"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."}}