{"id":"W6958265545","doi":"10.6084/m9.figshare.14183855","title":"Additional file 1 of High prevalence, intensity, and genetic diversity of Trichinella spp. in wolverine (Gulo gulo) from Yukon, Canada","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Parasitic Diseases Research and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Trichinella; Table (database); Genetic diversity; Larva; Genetic variation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006476759,0.000641318,0.0009631505,0.00193577,0.001661715,0.001344678,0.00157007,0.0007546735,0.7145327],"category_scores_gemma":[0.01283224,0.0003928529,0.0006269714,0.004433641,0.0002595485,0.001133481,0.00082295,0.0006229978,0.05050736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002839639,"about_ca_system_score_gemma":0.006408033,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5045048,"about_ca_topic_score_gemma":0.6286533,"domain_scores_codex":[0.9995816,0.00003493988,0.00007169013,0.0000963692,0.00009808275,0.0001173153],"domain_scores_gemma":[0.9927506,0.002937585,0.0006282626,0.0003869662,0.002862065,0.0004344625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001658367,0.00005934818,0.01014968,0.001569656,0.00004486719,0.00008473374,0.0001299404,0.0001923934,0.00004421977,0.0003327708,0.9807789,0.006447747],"study_design_scores_gemma":[0.003938657,0.0001980867,0.3014371,0.007461033,0.0003264797,0.0008945626,0.003071222,0.001632119,0.0006140957,0.003683807,0.6765373,0.0002055647],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0003069503,0.00001250999,0.00003415985,0.00005549616,0.000006570623,0.00004033744,0.9989501,0.00002801388,0.0005659458],"genre_scores_gemma":[0.01580538,0.0002083917,0.001209343,0.0003843067,0.00003934752,0.00105211,0.9711711,0.0001496684,0.009980363],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7145327,"threshold_uncertainty_score":0.9968265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02042154767094204,"score_gpt":0.2407089948291448,"score_spread":0.2202874471582028,"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."}}