{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001647018,0.0001305942,0.0002006404,0.00002904454,0.0002296325,0.00002315771,0.0002347944,0.00009813864,0.000557931],"category_scores_gemma":[0.00002930483,0.00007177093,0.00007213425,0.00006324914,0.0002886819,0.00004369508,0.00007389499,0.0001187165,0.0001359004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004205982,"about_ca_system_score_gemma":0.00005425437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002459301,"about_ca_topic_score_gemma":0.00006997253,"domain_scores_codex":[0.9990228,0.0001432411,0.0002986,0.0001828043,0.00005881274,0.0002936809],"domain_scores_gemma":[0.9994957,0.00009218344,0.00008808689,0.0002074283,0.00005017316,0.00006639307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00009346467,0.00003765546,0.01230357,0.00001815696,0.0001679406,0.000003125295,0.001058323,7.458191e-7,0.9708847,0.003066589,0.0001357519,0.01222996],"study_design_scores_gemma":[0.00106319,0.0004280562,0.7376029,0.000004892212,0.00002421348,0.0002598118,0.0009691133,0.00003727662,0.0006396231,0.0006339276,0.2581138,0.0002231715],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923212,0.001073355,0.0001251782,0.0007962001,0.0003227168,0.0004902389,0.00002590946,0.00002842984,0.004816785],"genre_scores_gemma":[0.9987215,0.00005567797,0.00004397014,0.0003437991,0.00006849424,0.00009276892,0.000005312621,0.00001071685,0.0006577228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9702451,"threshold_uncertainty_score":0.6108953,"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."}}