{"id":"W6939728689","doi":"10.6084/m9.figshare.26943453","title":"Additional file 2 of HBeeID: a molecular tool that identifies honey bee subspecies from different geographic populations","year":2024,"lang":"en","type":"article","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; Selection (genetic algorithm); Population; Honey bee; Genome","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":[0.001555429,0.00131546,0.001547899,0.003593666,0.001350992,0.001979986,0.002413544,0.001468578,0.8296943],"category_scores_gemma":[0.01797053,0.0008298466,0.001056704,0.004312298,0.0004048634,0.002129954,0.001708744,0.001233729,0.2328204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008146197,"about_ca_system_score_gemma":0.001440795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006960337,"about_ca_topic_score_gemma":0.01254702,"domain_scores_codex":[0.9991544,0.0001328858,0.0001122285,0.0002698177,0.0001881818,0.0001424819],"domain_scores_gemma":[0.9865544,0.01034306,0.00058136,0.0008682464,0.001164103,0.0004888558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001590808,0.00006066071,0.002252948,0.002335608,0.00004782143,0.00006638195,0.0000877471,0.000326549,0.000441156,0.0008157208,0.9864978,0.006908539],"study_design_scores_gemma":[0.001617445,0.0001151327,0.02276106,0.001633538,0.0001769252,0.0004415749,0.0003684642,0.001597181,0.001596473,0.009269429,0.9602666,0.0001561958],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000160184,0.0000202583,0.0005944515,0.00004934073,0.00003504756,0.00003412925,0.9972837,0.0009120461,0.0009108909],"genre_scores_gemma":[0.004470746,0.00008759324,0.005646453,0.0003803784,0.00006750914,0.0006630035,0.9799376,0.002640412,0.006106279],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8296943,"threshold_uncertainty_score":0.2429204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02990084189342072,"score_gpt":0.2131116122438141,"score_spread":0.1832107703503933,"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."}}