{"id":"W2138166435","doi":"10.1186/gb-2013-14-8-r89","title":"The genome and developmental transcriptome of the strongylid nematode Haemonchus contortus","year":2013,"lang":"en","type":"article","venue":"Genome biology","topic":"Helminth infection and control","field":"Veterinary","cited_by":256,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"National Health and Medical Research Council; Howard Hughes Medical Institute; Alexander von Humboldt-Stiftung; Medical Research Council; National Institutes of Health; US-UK Fulbright Commission; University of Melbourne; Fulbright Australia; Australian Academy of Science; Melbourne Water; State Government of Victoria; Australian Research Council; McMaster University","keywords":"Haemonchus contortus; Biology; Genome; Transcriptome; Nematode; Gene; Genomics; Computational biology; Evolutionary biology; Genetics; Ecology; Gene expression","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":[0.0001822081,0.0004075955,0.000363945,0.000595021,0.0004172951,0.0005517708,0.0002133598,0.0004318962,0.001544903],"category_scores_gemma":[0.0005544419,0.0002722971,0.0005004072,0.001055873,0.0001935715,0.000452481,0.0004508205,0.00059355,0.0008147963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003564103,"about_ca_system_score_gemma":0.0005492211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002119356,"about_ca_topic_score_gemma":0.002964191,"domain_scores_codex":[0.999849,0.00001052911,0.000009299633,0.00006741247,0.0000422995,0.00002146758],"domain_scores_gemma":[0.9996699,0.00009009997,0.00007093271,0.0000244475,0.0000905929,0.00005410504],"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":[0.0006819807,0.00003629855,0.01731026,0.001852891,0.0001445159,0.0008075261,0.0008981866,0.001727122,0.9251093,0.0009815289,0.008075612,0.04237477],"study_design_scores_gemma":[0.00007267822,0.0006822881,0.6851446,0.0005415002,0.0006468128,0.002496349,0.0009596065,0.008343035,0.1169687,0.003044898,0.1809454,0.0001540363],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.784045,0.01057147,0.02046365,0.001282857,0.0002868431,0.00009939026,0.1723073,0.001550317,0.009393176],"genre_scores_gemma":[0.5830876,0.006868707,0.034624,0.0006385566,0.000153295,0.0002308732,0.3649742,0.0008566667,0.00856614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002119356,"threshold_uncertainty_score":0.0051682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02901969992195498,"score_gpt":0.2677317718987719,"score_spread":0.2387120719768169,"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."}}