{"id":"W4408083292","doi":"10.1101/2025.02.26.640285","title":"Optimal cues for transmission investment in malaria parasites","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Economic Growth and Development","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; College of Agriculture and Life Sciences, Cornell University","keywords":"Malaria; Transmission (telecommunications); Investment (military); Biology; Disease transmission; Virology; Computer science; Immunology; Political science; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002751637,0.0002375718,0.0004007163,0.0002718906,0.0002527141,0.0007395127,0.0002645499,0.0004017628,0.001827257],"category_scores_gemma":[0.002028996,0.000240973,0.0001333015,0.0001332824,0.0002831343,0.0006003644,0.0007579536,0.0005740399,0.0001816438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004703005,"about_ca_system_score_gemma":0.0003550628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008635219,"about_ca_topic_score_gemma":0.001288447,"domain_scores_codex":[0.9997763,0.00004239144,0.00001334291,0.00005414094,0.00004415644,0.00006969133],"domain_scores_gemma":[0.9988059,0.0003440804,0.0003939163,0.00006437462,0.0001359595,0.0002557828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006184993,0.0001427499,0.02473435,0.0002310123,0.00002859609,0.000143,0.0001563242,0.004249309,0.9577986,0.001467264,0.0005088729,0.009921419],"study_design_scores_gemma":[0.0001022281,0.002541903,0.5731797,0.0001413689,0.00009484868,0.0006253354,0.00131625,0.07321263,0.338759,0.005369458,0.004488598,0.0001686277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972869,0.0002348438,0.001341441,0.00009281242,0.000008230331,0.000009841533,0.00008685177,0.00003253068,0.0009066312],"genre_scores_gemma":[0.9986935,0.00004861764,0.0009647311,0.00004625873,0.000003554808,0.000009366403,0.00006057474,0.000009261024,0.0001641288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001827257,"threshold_uncertainty_score":0.006112814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01414403045767703,"score_gpt":0.2233016326144949,"score_spread":0.2091576021568179,"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."}}