{"id":"W6948367595","doi":"10.5061/dryad.nzs7h44nh","title":"Dynamics of a host-parasitoid interaction clarified by modelling and DNA sequencing","year":2020,"lang":"en","type":"dataset","venue":"DRYAD","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Amplicon; DNA barcoding; DNA sequencing; Parasitoid; DNA; Amplicon sequencing; Evolutionary dynamics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001607355,0.0009229514,0.0008092587,0.001547738,0.0004728132,0.000905198,0.002140955,0.001530619,0.01181648],"category_scores_gemma":[0.003996625,0.0004824177,0.001218016,0.002005059,0.0004645696,0.0008896836,0.0008948824,0.0008927053,0.005997796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001018507,"about_ca_system_score_gemma":0.0009947328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02547569,"about_ca_topic_score_gemma":0.03725313,"domain_scores_codex":[0.9995567,0.0001320595,0.00003743907,0.0001643561,0.00005098526,0.00005844363],"domain_scores_gemma":[0.9992342,0.0003766491,0.00009736759,0.0001584889,0.00008605929,0.00004731386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001523903,0.000403118,0.1008665,0.006165053,0.001192017,0.0006832678,0.0007014942,0.1654496,0.003912226,0.00940975,0.6775994,0.03209365],"study_design_scores_gemma":[0.001283369,0.0002392358,0.08861414,0.0007749065,0.0003825208,0.0005228208,0.0007253767,0.1379046,0.001845545,0.01202567,0.7555003,0.0001815078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02611168,0.0005879732,0.002064585,0.0005490065,0.00008638167,0.00005561223,0.9672676,0.0007352172,0.00254192],"genre_scores_gemma":[0.06603964,0.0003082804,0.008527962,0.0001765573,0.00002360027,0.0004205592,0.9223716,0.0001273148,0.00200454],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02547569,"threshold_uncertainty_score":0.05065477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02974414092087335,"score_gpt":0.2781357378123694,"score_spread":0.2483915968914961,"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."}}