{"id":"W2953629214","doi":"10.1101/689695","title":"A database for ITS2 sequences from nematodes","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Nematode management and characterization studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Database; Identification (biology); Biology; Population; Software; Computer science; Ecology","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":[0.0002980244,0.0004578609,0.0005718259,0.00003803255,0.000260192,0.0003806754,0.0006776485,0.000258284,0.0002167517],"category_scores_gemma":[0.00009905171,0.0002242882,0.0001919219,0.0002797719,0.00007297228,0.0002197771,0.0007486411,0.0002367941,0.0001346895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004757087,"about_ca_system_score_gemma":0.00004331805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000135372,"about_ca_topic_score_gemma":0.00002206811,"domain_scores_codex":[0.9977833,0.00007039223,0.0004351557,0.0009635842,0.0003185445,0.0004290332],"domain_scores_gemma":[0.9985963,0.0002303247,0.000417479,0.0003432388,0.000291596,0.0001210582],"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":[0.0000337549,0.00008257301,0.01049649,0.0002456578,0.0001750258,0.000007100655,0.0000070908,0.000007722972,0.9859564,0.000804742,0.002174702,0.000008714217],"study_design_scores_gemma":[0.001194934,0.0002353083,0.4686736,0.001781228,0.0006527137,8.733091e-9,0.0001141172,0.001376272,0.347186,0.00008759631,0.1750236,0.003674572],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915771,0.0008952119,0.000432014,0.0009475159,0.001080085,0.001204776,0.003483254,0.0003599588,0.0000200547],"genre_scores_gemma":[0.9965144,0.0004574096,0.001205308,0.0005009056,0.00087166,0.0003875259,0.00002285659,0.00000931205,0.00003060533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6387704,"threshold_uncertainty_score":0.9146206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03025833892611981,"score_gpt":0.2248370945521435,"score_spread":0.1945787556260237,"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."}}