{"id":"W4317934474","doi":"10.3390/insects14020121","title":"Best Practices for Comprehensive Annotation of Neuropeptides of Gryllus bimaculatus","year":2023,"lang":"en","type":"article","venue":"Insects","topic":"Neurobiology and Insect Physiology Research","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Japan Society for the Promotion of Science","keywords":"Gryllus bimaculatus; Biology; Genome; Annotation; Neuropeptide; Computational biology; Transcriptome; Gene; KEGG; Cricket; Sequence assembly; Genetics; Evolutionary biology; Gene expression; Zoology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001148773,0.0000880911,0.0001919513,0.0001853316,0.00009156215,0.000006175161,0.0002095985,0.00006192357,0.00000896416],"category_scores_gemma":[0.00191696,0.00007748452,0.00006378331,0.0005495714,0.0003340058,0.0001540261,0.00008321033,0.0001305522,0.00005040735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004148385,"about_ca_system_score_gemma":0.00005378703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005464169,"about_ca_topic_score_gemma":0.000004316623,"domain_scores_codex":[0.9989219,0.0002447617,0.0002185928,0.0002738606,0.0001167679,0.0002241084],"domain_scores_gemma":[0.9970955,0.002172106,0.0003395787,0.0001940015,0.0001672242,0.00003157168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002492543,0.00007716042,0.0004264356,0.0001194685,0.000006875904,0.00001203379,0.000159134,0.0001434988,0.9965245,0.0009213121,0.0005465625,0.000813821],"study_design_scores_gemma":[0.0004425567,0.0009714654,0.01775294,0.00002180099,0.000009087546,0.00001278531,0.0000427923,0.0007402257,0.9776906,0.0007808098,0.001462128,0.00007285571],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981872,0.00002973788,0.000005371506,0.0001305922,0.0002391316,0.0003427444,0.00005391365,0.00005827151,0.0009530234],"genre_scores_gemma":[0.9992898,0.0001175654,0.00003992115,0.0002016253,0.00003628072,0.00002835577,0.0000107111,0.00001318014,0.0002625616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01883389,"threshold_uncertainty_score":0.3159727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2700969653813757,"score_gpt":0.4229524673676769,"score_spread":0.1528555019863012,"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."}}