{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003528837,0.002505588,0.001975211,0.007454092,0.002742894,0.003094934,0.001574467,0.001196639,0.00403452],"category_scores_gemma":[0.005757145,0.001300705,0.002401565,0.006361038,0.0005690801,0.001673335,0.002839549,0.002273396,0.006382763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001218545,"about_ca_system_score_gemma":0.002829229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005227128,"about_ca_topic_score_gemma":0.008057886,"domain_scores_codex":[0.9976504,0.0003778494,0.0003795609,0.0009009809,0.0004821499,0.0002091421],"domain_scores_gemma":[0.9977399,0.0003696815,0.0004201234,0.0005444225,0.0007309257,0.000195014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001184211,0.0002879595,0.009693437,0.009914706,0.0005847577,0.002051261,0.0037698,0.003110775,0.616723,0.004155383,0.03182906,0.3166956],"study_design_scores_gemma":[0.0002660717,0.000465055,0.05534402,0.003422574,0.001657771,0.003044687,0.00222956,0.01635512,0.2519649,0.01299762,0.6517311,0.0005215551],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.137706,0.03805539,0.6375543,0.002572689,0.002209022,0.001982904,0.1210985,0.03807558,0.02074565],"genre_scores_gemma":[0.05711278,0.009392021,0.7566289,0.0005246795,0.0001552253,0.001336105,0.1664343,0.00528894,0.00312713],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007454092,"threshold_uncertainty_score":0.01866245,"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."}}