{"id":"W4303962002","doi":"10.3389/fimmu.2022.954282","title":"Identification of Schistosoma mansoni miracidia attractant candidates in infected Biomphalaria glabrata using behaviour-guided comparative proteomics","year":2022,"lang":"en","type":"article","venue":"Frontiers in Immunology","topic":"Parasites and Host Interactions","field":"Immunology and Microbiology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"National Institute of Allergy and Infectious Diseases; National Institutes of Health; Queensland Cyber Infrastructure Foundation; Australian Research Council; University of the Sunshine Coast; QIMR Berghofer Medical Research Institute","keywords":"Biomphalaria glabrata; Schistosoma mansoni; Snail; Biology; Schistosoma; Viral tegument; Host (biology); Intermediate host; Biomphalaria; Schistosomiasis; Microbiology; Immunology; Ecology; Genetics; Helminths","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":[0.0002969258,0.0002010962,0.0005436063,0.0008470712,0.0002474312,0.00001173593,0.0003738715,0.0002097721,0.0002565703],"category_scores_gemma":[0.00005798275,0.0002336376,0.00008062529,0.0006011334,0.000324147,0.0001800117,0.0001786028,0.0007005524,0.00002164015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004975723,"about_ca_system_score_gemma":0.0001833791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002722523,"about_ca_topic_score_gemma":0.0003882353,"domain_scores_codex":[0.9977457,0.0006018591,0.0008477151,0.0003772113,0.00004440654,0.0003831192],"domain_scores_gemma":[0.9989961,0.00005566723,0.0004944919,0.000369636,0.00007209113,0.00001196991],"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":[0.0003796255,0.0004141748,0.2399926,0.000006182356,0.0001479064,0.00001112972,0.001537692,0.0001624011,0.7562748,0.0002480082,0.0007028419,0.0001226095],"study_design_scores_gemma":[0.003549468,0.0003523224,0.4437488,0.00004654047,0.00009406554,0.000345099,0.003723966,0.001145958,0.5427033,0.0003601446,0.003479203,0.0004511321],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904031,0.004731579,0.001295547,0.00008886452,0.002515862,0.0005999381,0.0002662462,0.0000298802,0.00006900464],"genre_scores_gemma":[0.9976655,0.00007172974,0.001365755,0.00001873062,0.000006499094,0.0001509942,0.0004514813,0.00001679701,0.000252526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2135714,"threshold_uncertainty_score":0.9527466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02464574235692307,"score_gpt":0.2994328387616073,"score_spread":0.2747870964046842,"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."}}