{"id":"W6920721798","doi":"10.6084/m9.figshare.14183855.v1","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":"Open MIND","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":[0.0006663653,0.0006312823,0.0009585306,0.001892637,0.001646698,0.001291375,0.001572775,0.0007478872,0.6927181],"category_scores_gemma":[0.01336381,0.0003687802,0.0006229016,0.004377292,0.0002544161,0.001080603,0.0007909257,0.0006221656,0.04403387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002935908,"about_ca_system_score_gemma":0.006552052,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5116605,"about_ca_topic_score_gemma":0.6286408,"domain_scores_codex":[0.9995854,0.00003503798,0.0000737358,0.00009387404,0.0000975849,0.0001142697],"domain_scores_gemma":[0.992724,0.002903409,0.0006494093,0.0003789304,0.002918592,0.0004257169],"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":[0.00018775,0.00006706343,0.01172133,0.001796403,0.00004867466,0.00009478155,0.0001485682,0.0002088567,0.00005084596,0.0003460197,0.9783037,0.007026097],"study_design_scores_gemma":[0.003972227,0.0002174933,0.3269718,0.008256334,0.000364038,0.0009486326,0.003486684,0.001801192,0.0006797102,0.00372618,0.6493568,0.0002188676],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0003642851,0.00001355991,0.00003577561,0.00005991157,0.000006974413,0.0000430054,0.9989002,0.00002709243,0.0005492035],"genre_scores_gemma":[0.01815211,0.0002325584,0.001333605,0.0004030161,0.00004255454,0.001170636,0.9684997,0.0001394099,0.01002637],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6927181,"threshold_uncertainty_score":0.9824309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02153371344933585,"score_gpt":0.2739083948068733,"score_spread":0.2523746813575375,"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."}}