{"id":"W6939973083","doi":"10.6084/m9.figshare.26943462.v1","title":"Additional file 5 of HBeeID: a molecular tool that identifies honey bee subspecies from different geographic populations","year":2024,"lang":"en","type":"dataset","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Subspecies; Genotyping; Population; Genotype; Single-nucleotide polymorphism; Honey bee","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001394524,0.001403841,0.001483573,0.002749309,0.0009468033,0.001764834,0.00234337,0.001506686,0.498001],"category_scores_gemma":[0.008872823,0.0007469318,0.001092576,0.004306708,0.0003737846,0.001372846,0.001609616,0.001318761,0.1197087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009372619,"about_ca_system_score_gemma":0.001558252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01522874,"about_ca_topic_score_gemma":0.02926749,"domain_scores_codex":[0.9993066,0.0001006571,0.0001006122,0.0002476299,0.0001119352,0.0001325028],"domain_scores_gemma":[0.9959246,0.002433146,0.0003412788,0.0004565537,0.000586476,0.0002578668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001309943,0.00004880688,0.003862417,0.001894723,0.00007351873,0.00003850671,0.0000544653,0.0003988871,0.0002460678,0.0004655198,0.9891123,0.003673853],"study_design_scores_gemma":[0.001609334,0.00007781512,0.02754688,0.001347433,0.0001840879,0.0001843528,0.0002618847,0.0008902082,0.0008174448,0.003582353,0.9634112,0.00008712147],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007311125,0.000008339798,0.00006097516,0.00001551438,0.000006019616,0.000008933553,0.9995899,0.00009215003,0.0001451039],"genre_scores_gemma":[0.0009281844,0.00002541938,0.0006784133,0.00006860393,0.000007991463,0.0001880876,0.9969978,0.0001397931,0.0009656337],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.498001,"threshold_uncertainty_score":0.7160406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0295067519285218,"score_gpt":0.2189258862428707,"score_spread":0.1894191343143489,"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."}}