{"id":"W4410591573","doi":"10.1016/j.compbiomed.2025.110373","title":"Trends and advances in image-based mosquito identification and classification using machine learning models: A systematic review","year":2025,"lang":"en","type":"review","venue":"Computers in Biology and Medicine","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Identification (biology); Artificial intelligence; Computer science; Machine learning; Image (mathematics); Pattern recognition (psychology); Biology; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003350686,0.001135097,0.004824181,0.00532927,0.0002081737,0.001806322,0.001485527,0.001183556,0.003150572],"category_scores_gemma":[0.01087255,0.0004828081,0.00420779,0.004765341,0.0005470695,0.001730535,0.0008380042,0.0008741944,0.0004601054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000940002,"about_ca_system_score_gemma":0.003798577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005235421,"about_ca_topic_score_gemma":0.01353566,"domain_scores_codex":[0.9984595,0.0003552663,0.000565324,0.0002173865,0.0003559384,0.00004660462],"domain_scores_gemma":[0.9921096,0.005886671,0.001157367,0.00009913925,0.0006757561,0.00007143599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002614195,0.00006443173,0.001576903,0.5238808,0.005888771,0.000104732,0.0001119569,0.0004251665,0.0004746593,0.0005323165,0.006148946,0.46053],"study_design_scores_gemma":[0.0005284754,0.0009087626,0.01906961,0.6457883,0.1088262,0.001915016,0.0007007981,0.001397454,0.001357675,0.00239493,0.2168502,0.0002626237],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001933158,0.9993825,0.0001235104,0.00008943287,0.00003389963,0.00001726359,0.00008764849,0.000003466997,0.00006894689],"genre_scores_gemma":[0.001992219,0.9972095,0.0004173356,0.0001867998,0.00004529025,0.0000243261,0.00007893993,0.000001947522,0.00004356738],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00532927,"threshold_uncertainty_score":0.01772034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05239309769683758,"score_gpt":0.397733901311847,"score_spread":0.3453408036150095,"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."}}