{"id":"W4402320716","doi":"10.5376/jmr.2024.14.0010","title":"Mosquito Species Identification and Phylogenetics: A Global Perspective","year":2024,"lang":"en","type":"article","venue":"Journal of Mosquito Research","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phylogenetics; Identification (biology); Perspective (graphical); Biology; Evolutionary biology; Zoology; Ecology; Geography; Computer science; Artificial intelligence; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001815811,0.0001487034,0.0003412119,0.0003473282,0.0001474317,0.0003994988,0.0002374907,0.0001002664,0.0002183931],"category_scores_gemma":[0.0007349656,0.000114431,0.0002247242,0.0006580363,0.0002664315,0.0001822537,0.0001227229,0.0005729405,0.00005511514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005984488,"about_ca_system_score_gemma":0.0005746675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004880889,"about_ca_topic_score_gemma":0.00001442383,"domain_scores_codex":[0.9971648,0.0001806869,0.0005047833,0.0003534381,0.001377339,0.000418884],"domain_scores_gemma":[0.997452,0.000199338,0.00009493271,0.0003145905,0.001536246,0.0004028532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.005321559,0.001662439,0.02693374,0.00206153,0.002751401,0.006340428,0.00533079,0.00007637937,0.4156021,0.1336892,0.1529354,0.247295],"study_design_scores_gemma":[0.006594354,0.006321083,0.7148098,0.00237702,0.001489261,0.004604622,0.03606275,0.00847191,0.009031963,0.04969711,0.1598016,0.0007385074],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9018487,0.07077046,0.0007256429,0.01696534,0.0007691522,0.0006008643,0.00005534072,0.00003697873,0.008227467],"genre_scores_gemma":[0.9930775,0.002036915,0.0001729787,0.00008573943,0.002028661,0.00001275175,0.000002345819,0.00002228404,0.002560826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6878761,"threshold_uncertainty_score":0.4666363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07001509595356516,"score_gpt":0.4420079596906512,"score_spread":0.3719928637370861,"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."}}