{"id":"W1156765303","doi":"10.1038/ncomms8485","title":"Caenorhabditis elegans is a useful model for anthelmintic discovery","year":2015,"lang":"en","type":"article","venue":"Nature Communications","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":246,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Institute for Research in Immunology and Cancer; Canada Research Chairs; Université de Montréal; University of Calgary; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Toronto; National Institute of Neurological Disorders and Stroke; Harvard Stem Cell Institute; National Institutes of Health; National Heart, Lung, and Blood Institute; University of Calgary","keywords":"Caenorhabditis elegans; Anthelmintic; Biology; Nematode; Zebrafish; Drug discovery; Model organism; Population; Computational biology; Resistance (ecology); Effector; Genetics; Bioinformatics; Cell biology; Gene; Ecology; Medicine","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":[0.0001807869,0.0001555612,0.0001394869,0.00004246947,0.0001861677,0.0000669758,0.0009793555,0.0003380349,0.000002233378],"category_scores_gemma":[0.000189871,0.0001583116,0.0001120277,0.00007813621,0.0001431648,0.00001171903,0.000337422,0.0002903941,0.000008950082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002706771,"about_ca_system_score_gemma":0.0002042768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002183024,"about_ca_topic_score_gemma":0.000626216,"domain_scores_codex":[0.9991426,0.0000481159,0.000184675,0.0002715742,0.0001278722,0.0002251496],"domain_scores_gemma":[0.9976181,0.00002877656,0.00007808733,0.001889189,0.0002754816,0.0001103874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000244172,0.001592222,0.01932787,0.0001276495,0.00066539,0.000002326951,0.01207883,0.006875336,0.2348374,0.02162555,0.7000365,0.002586759],"study_design_scores_gemma":[0.002736201,0.0005739618,0.00247253,0.00004742715,0.0003421808,0.0000508186,0.0008778382,0.1608598,0.1069728,0.009744568,0.7139179,0.001404108],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5796112,0.02581681,0.3688806,0.01801687,0.0008589841,0.001529925,0.001365553,0.0001194308,0.003800604],"genre_scores_gemma":[0.9713017,0.000676398,0.02277869,0.001946121,0.0001404693,0.00007128168,0.0005131688,0.00003858332,0.002533619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3916904,"threshold_uncertainty_score":0.6455761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0377059076743205,"score_gpt":0.3057379535722997,"score_spread":0.2680320458979791,"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."}}