{"id":"W4408842080","doi":"10.1101/2025.03.24.645118","title":"Predicting bacterial-mediated entomopathogenicity through comparative genomics and statistical modeling","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Entomopathogenic Microorganisms in Pest Control","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computational biology; Genomics; Comparative genomics; Computer science; Biology; Genetics; Genome; Gene","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":[0.002307149,0.0008617665,0.0008301839,0.002095862,0.0004126606,0.0008260282,0.0007656085,0.0007639905,0.0007295499],"category_scores_gemma":[0.004813741,0.0003999324,0.001413287,0.001151675,0.0005389738,0.0005447535,0.0005079744,0.0008477907,0.0001392353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00128373,"about_ca_system_score_gemma":0.001160964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01143058,"about_ca_topic_score_gemma":0.006677604,"domain_scores_codex":[0.9994174,0.0002895196,0.0000306584,0.000131625,0.00009005351,0.00004081185],"domain_scores_gemma":[0.9964492,0.002940411,0.0002499079,0.0001065744,0.0001543257,0.00009952334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001092894,0.0001416456,0.02240518,0.00004847328,0.000191405,0.00005205917,0.00001519997,0.9644626,0.003576155,0.001496607,0.000258986,0.007242396],"study_design_scores_gemma":[0.000003090723,0.00002030332,0.001116171,0.000001121737,0.000009432832,0.000006503916,0.00000404302,0.9976469,0.0002517861,0.0008943926,0.00004303627,0.000003288244],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7785895,0.0005327545,0.2165252,0.0006466935,0.00001889768,0.00005540636,0.00168397,0.001006415,0.0009411876],"genre_scores_gemma":[0.9605371,0.0001735253,0.03736968,0.00007028182,0.00001983084,0.00006907017,0.001505569,0.00004423468,0.0002106773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01143058,"threshold_uncertainty_score":0.02272815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02217007831472451,"score_gpt":0.2287511204094058,"score_spread":0.2065810420946813,"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."}}