{"id":"W4415907660","doi":"10.1016/j.jinsphys.2025.104903","title":"Microstructural characteristics and mechanisms underlying dynamic light adaptation in the compound eyes of Exolontha castanea (Coleoptera: Melolonthinae)","year":2025,"lang":"en","type":"article","venue":"Journal of Insect Physiology","topic":"Neurobiology and Insect Physiology Research","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Agriculture","funders":"Earmarked Fund for China Agriculture Research System; Guangxi Academy of Agricultural Sciences; Natural Science Foundation of Guangxi Province; National Natural Science Foundation of China","keywords":"Ommatidium; Compound eye; Basement membrane; Retina; Cornea; Scanning electron microscope; Sexual dimorphism; Transmission electron microscopy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004112512,0.0001627894,0.000477068,0.0002916994,0.0001614681,0.00002003632,0.0004441543,0.0001452075,0.00001134554],"category_scores_gemma":[0.0003848279,0.0001087424,0.00008503094,0.0002910495,0.0004172465,0.0001634396,0.00009619183,0.0006790132,0.000001256478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003974124,"about_ca_system_score_gemma":0.000118628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002666567,"about_ca_topic_score_gemma":0.00005879154,"domain_scores_codex":[0.9978527,0.000949414,0.0005774699,0.0002329173,0.0001163115,0.00027123],"domain_scores_gemma":[0.9981644,0.001061503,0.0004554518,0.0001833734,0.0001070055,0.00002830213],"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":[0.000643975,0.00007659697,0.0002612861,0.00005072831,0.00001924514,0.00006107423,0.0008940822,0.00002706922,0.9938103,0.003535373,0.00001951782,0.0006007374],"study_design_scores_gemma":[0.001624387,0.002039657,0.7070442,0.000150783,0.00004235527,0.0009433369,0.0008501966,0.001268962,0.2354816,0.05028372,0.00006229547,0.0002084373],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982616,0.0001265717,0.0001579385,0.0006419055,0.0005080898,0.0001786773,0.00001100302,0.000005100889,0.0001091715],"genre_scores_gemma":[0.9988666,0.0001871081,0.00009973704,0.000794891,0.00002043209,0.000004477662,0.000002581126,0.00000665249,0.00001747777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7583287,"threshold_uncertainty_score":0.4434388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0405525128869557,"score_gpt":0.3102232333842806,"score_spread":0.2696707204973249,"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."}}