{"id":"W2043959375","doi":"10.1016/j.ibmb.2011.12.009","title":"In silico cloning of genes encoding neuropeptides, neurohormones and their putative G-protein coupled receptors in a spider mite","year":2011,"lang":"en","type":"article","venue":"Insect Biochemistry and Molecular Biology","topic":"Neurobiology and Insect Physiology Research","field":"Neuroscience","cited_by":114,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Ontario Genomics Institute; National Science Foundation; Government of Canada; Ontario Genomics; Genome Canada; University of Utah","keywords":"Neurohormones; Biology; Gene; G protein-coupled receptor; Adipokinetic hormone; Genetics; Genome; In silico; Neuropeptide; Evolutionary biology; Receptor; Biochemistry; Hormone","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002025081,0.0004022783,0.0006199718,0.0003247097,0.0002412277,0.0006598309,0.0002888126,0.0003773975,0.0006562637],"category_scores_gemma":[0.0002594908,0.000231167,0.0008660756,0.0002268361,0.0001524234,0.0001625787,0.0001755766,0.0004490371,0.0004863541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002937364,"about_ca_system_score_gemma":0.0003896167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005893337,"about_ca_topic_score_gemma":0.001089495,"domain_scores_codex":[0.9998786,0.00002968584,0.00001066291,0.00003138995,0.00003200616,0.00001754994],"domain_scores_gemma":[0.9998332,0.00009114443,0.00002151619,0.00001081778,0.00001508306,0.00002806411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006507565,0.0001197644,0.003630174,0.0001889102,0.00005998851,0.0004750286,0.00006831643,0.003181029,0.9865208,0.0003246531,0.000101006,0.004679608],"study_design_scores_gemma":[0.0003761074,0.001559664,0.03640895,0.00006425947,0.0009120583,0.001870287,0.0006115213,0.0816893,0.8653873,0.001174349,0.009886556,0.00005969158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838791,0.0004556144,0.01320311,0.0001339297,0.00002127532,0.00006187991,0.001321637,0.0001119581,0.0008115438],"genre_scores_gemma":[0.9670801,0.0006305792,0.02548897,0.000102961,0.00001467933,0.00003756374,0.005379239,0.00005118519,0.001214772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006598309,"threshold_uncertainty_score":0.002195477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03259380611960893,"score_gpt":0.2769415804936089,"score_spread":0.244347774374,"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."}}