{"id":"W6892206196","doi":"10.5061/dryad.xgxd254gx","title":"Phylogeography of cavity-nesting honeybees (Apis)","year":2023,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Agricultural Research Service; Directorate for Biological Sciences","keywords":"Apis cerana; Phylogenetic tree; Lineage (genetic); Phylogeography; Mainland; Clade; Entomology","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":[0.0008078434,0.0004421713,0.0007158329,0.001692834,0.000507888,0.0007611992,0.000933481,0.0005339101,0.007932747],"category_scores_gemma":[0.002110613,0.0003122262,0.0004701689,0.002507895,0.000259399,0.0004320207,0.001052461,0.0007024579,0.003572837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004356862,"about_ca_system_score_gemma":0.0004965743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01276353,"about_ca_topic_score_gemma":0.02423692,"domain_scores_codex":[0.9996375,0.00008048644,0.00003769928,0.0001481296,0.00004168575,0.00005451758],"domain_scores_gemma":[0.9991655,0.0003125817,0.000176879,0.0001426831,0.0001222726,0.00007997113],"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":[0.001567306,0.0002757432,0.387743,0.004337356,0.001100305,0.0007786786,0.002699042,0.006318718,0.01203559,0.005153536,0.5399051,0.03808559],"study_design_scores_gemma":[0.0006950294,0.00008839712,0.5544507,0.0005324383,0.0003230064,0.0007356364,0.001285737,0.00488567,0.001742053,0.001768851,0.4334077,0.00008483526],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.09736118,0.0005558716,0.0007380656,0.0001771172,0.00002076325,0.00002296267,0.8988134,0.0002365013,0.002074195],"genre_scores_gemma":[0.06214073,0.000168726,0.001784199,0.00006476955,0.000007788688,0.0001107178,0.9349018,0.0000798095,0.0007414773],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01276353,"threshold_uncertainty_score":0.02653772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06582593945563928,"score_gpt":0.3532009035185962,"score_spread":0.2873749640629569,"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."}}