{"id":"W3007629929","doi":"10.1101/2020.02.18.945246","title":"Extensive genomic and transcriptomic variation defines the chromosome-scale assembly of <i>Haemonchus contortus</i> , a model gastrointestinal worm","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Helminth infection and control","field":"Veterinary","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; McGill University","funders":"Biotechnology and Biological Sciences Research Council; Directorate for Biological Sciences; Wellcome Trust; McGill University","keywords":"Haemonchus contortus; Biology; Synteny; Genome; Sequence assembly; Caenorhabditis elegans; Genetics; Bacterial artificial chromosome; Chromosome; Genomics; Gene; Nematode; Evolutionary biology; Computational biology; Transcriptome; Ecology","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":[0.00008975001,0.0002140895,0.0001179308,0.0003900392,0.0001754611,0.000312778,0.0001666,0.0002291964,0.0009305323],"category_scores_gemma":[0.0002080126,0.0001551867,0.0001854774,0.0002133677,0.0001567267,0.0001046024,0.0002353238,0.0002708164,0.0003423686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002418899,"about_ca_system_score_gemma":0.0001353732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002272925,"about_ca_topic_score_gemma":0.00469275,"domain_scores_codex":[0.9999191,0.000006987908,0.000005599947,0.00003118185,0.00002373455,0.00001346122],"domain_scores_gemma":[0.9998547,0.00002873655,0.00004731417,0.00001730062,0.00002381312,0.00002811636],"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":[0.00003406557,0.00000574291,0.001391614,0.00001822023,0.000008290811,0.00005221268,0.00003291527,0.0001007724,0.9972215,0.00004850863,0.00005656584,0.001029492],"study_design_scores_gemma":[0.00001708995,0.0003591673,0.4557393,0.00003337665,0.0001007073,0.0009972973,0.0002857808,0.004889156,0.5292719,0.0001953789,0.00808742,0.00002340823],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929973,0.0002208749,0.003576017,0.00004147592,0.000007717728,0.00002220539,0.001750473,0.0001256025,0.001258264],"genre_scores_gemma":[0.985897,0.0001671184,0.005484269,0.00006581131,0.000007077441,0.0000331209,0.006401239,0.0001237167,0.001820758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002272925,"threshold_uncertainty_score":0.004519343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03075976877969157,"score_gpt":0.2415070253368707,"score_spread":0.2107472565571791,"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."}}