{"id":"W2974605502","doi":"10.1038/s41598-019-49790-x","title":"Identification, Functional Characterization, and Pharmacological Analysis of Two Sulfakinin Receptors in the Medically-Important Insect Rhodnius prolixus","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neuropeptides and Animal Physiology","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Amorfix (Canada); University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Rhodnius prolixus; Biology; Gene knockdown; Receptor; Cell biology; Signal transduction; Intracellular; Insect; Gene; Genetics","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":[0.0000870593,0.0002984534,0.0002392937,0.0002579476,0.0001319059,0.0002243755,0.0001490093,0.000211467,0.0005568447],"category_scores_gemma":[0.00009234722,0.0001359388,0.0003451862,0.00009580924,0.0001793928,0.0001313782,0.0001714742,0.0003087888,0.0003575484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002860146,"about_ca_system_score_gemma":0.0001476883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00140073,"about_ca_topic_score_gemma":0.001673109,"domain_scores_codex":[0.9999245,0.000007403471,0.000007645027,0.00001885276,0.00002140172,0.00002015201],"domain_scores_gemma":[0.9999051,0.00001006901,0.00003260954,0.000008163457,0.00001214108,0.00003185238],"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":[0.00003134018,0.000003826913,0.0002117045,0.00001157025,0.000002114567,0.00002770605,0.000005565513,0.00001054779,0.9994171,0.00001469051,0.000004648432,0.0002592065],"study_design_scores_gemma":[0.00005691978,0.0007156017,0.1310118,0.0000138679,0.00007789381,0.001617318,0.0002186007,0.002219074,0.8591117,0.00006923758,0.004867027,0.00002093756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965972,0.0007685957,0.00142187,0.00006683119,0.000008009795,0.00002488019,0.0004638894,0.00001448076,0.000634319],"genre_scores_gemma":[0.9923752,0.0005706766,0.002960467,0.00007473999,0.00001074019,0.00002761419,0.001735726,0.00001276638,0.002232092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00140073,"threshold_uncertainty_score":0.002785087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03417088536399326,"score_gpt":0.2856730634789141,"score_spread":0.2515021781149209,"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."}}