{"id":"W2946987690","doi":"10.21307/jofnem-2019-027","title":"The draft genome of <i>Ditylenchus dipsaci</i>","year":2019,"lang":"en","type":"article","venue":"Journal of Nematology","topic":"Nematode management and characterization studies","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Biotechnology and Biological Sciences Research Council","keywords":"Biology; Genome; Whole genome sequencing; PEST analysis; DNA sequencing; Botany; Computational biology; Genetics; Gene","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":[0.0002171336,0.00005841944,0.0002305016,0.00001078074,0.00007833069,0.00001685447,0.0002344376,0.00003079233,0.0001867961],"category_scores_gemma":[0.00002391529,0.00001632825,0.00009373239,0.0001217678,0.00005384594,0.00006939883,0.00006266849,0.00006917908,0.00002855835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000385085,"about_ca_system_score_gemma":0.000003709617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001788838,"about_ca_topic_score_gemma":0.00001056757,"domain_scores_codex":[0.9992917,0.00004912453,0.00034834,0.00005657203,0.0001404009,0.0001139113],"domain_scores_gemma":[0.9991554,0.0002195467,0.0004460809,0.00003667368,0.0001188212,0.00002349316],"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":[0.0002106123,0.0001781415,0.1507221,0.00007285342,0.0002858746,0.00003315033,0.0003598543,0.000009669416,0.8139251,0.01828521,0.004483618,0.01143372],"study_design_scores_gemma":[0.0004837798,0.000566903,0.6441022,0.00004216576,0.00005608136,0.0002578836,0.001639929,0.00001328596,0.003209324,0.002230504,0.3472242,0.0001737762],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936112,0.0004234743,0.000005452365,0.003019902,0.0002812596,0.00006449314,0.000001912015,0.000004176793,0.002588143],"genre_scores_gemma":[0.9989437,0.0003468639,0.00001202076,0.0001556022,0.0000841293,7.907874e-7,0.000001167917,3.747033e-7,0.0004553879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8107159,"threshold_uncertainty_score":0.2045286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005263849363994397,"score_gpt":0.1817642734273588,"score_spread":0.1765004240633644,"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."}}