{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006901382,0.0004761289,0.0005523384,0.0004531512,0.0001131816,0.0003173901,0.001320446,0.0004106095,0.000008517452],"category_scores_gemma":[0.00006556089,0.0005148532,0.0001531165,0.0003641155,0.00004172263,0.0002626911,0.0006464121,0.0004062226,0.00001849804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003638159,"about_ca_system_score_gemma":0.001311997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002998853,"about_ca_topic_score_gemma":0.000002223853,"domain_scores_codex":[0.9972509,0.00007952792,0.0006683259,0.001216821,0.0001867875,0.0005976649],"domain_scores_gemma":[0.9982175,0.0001127596,0.0002268117,0.001029316,0.0001606061,0.0002530149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004012691,0.002435306,0.132286,0.007787745,0.00117697,0.0003339432,0.0008194555,0.01279261,0.2226568,0.6076542,0.01133294,0.0003227454],"study_design_scores_gemma":[0.003263099,0.0001875646,0.3499385,0.002264844,0.0000911879,2.254433e-8,0.000004708618,0.07987858,0.507167,0.0003920965,0.05384474,0.002967714],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4208553,0.00224607,0.5689399,0.002173328,0.002308531,0.002560332,0.0001312904,0.0006657128,0.0001195214],"genre_scores_gemma":[0.5284737,0.0001738674,0.469422,0.0009481668,0.0001146128,0.000807056,4.882805e-7,0.00003463364,0.00002539422],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6072621,"threshold_uncertainty_score":0.9997303,"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."}}