{"id":"W6969443122","doi":"10.5519/isxh6saw","title":"Southeast Asian Bumblebee Specimen Database","year":2022,"lang":"en","type":"dataset","venue":"Natural History Museum, London","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Entomology; Subgenus; Chiang mai; Wildlife; Biodiversity; Fauna; Biodiversity conservation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008634017,0.0006760029,0.0006009142,0.007456386,0.0009862229,0.0009934159,0.001371762,0.0003283178,0.1811117],"category_scores_gemma":[0.003325091,0.0002738091,0.0003016487,0.01128974,0.0001888457,0.001266847,0.001074954,0.0004560863,0.06462068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007146135,"about_ca_system_score_gemma":0.002525853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02678119,"about_ca_topic_score_gemma":0.04460013,"domain_scores_codex":[0.9994874,0.00005276279,0.0001717037,0.000104501,0.0001127266,0.00007096245],"domain_scores_gemma":[0.9974982,0.0002201725,0.0003696363,0.0003397088,0.001330448,0.0002417001],"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":[0.0001886248,0.00002671024,0.004729324,0.001325975,0.00003095677,0.0001547976,0.0003195003,0.00005090599,0.000841888,0.0008682294,0.9366869,0.05477627],"study_design_scores_gemma":[0.00003542497,0.00002049865,0.02912843,0.0004108502,0.00004673894,0.0002701007,0.0003825366,0.0001045897,0.0003732825,0.0003787327,0.9688258,0.00002321135],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003697049,0.0009518143,0.0005839637,0.0002546183,0.0001466055,0.0001999776,0.9748402,0.0005084322,0.01881745],"genre_scores_gemma":[0.005377766,0.000911957,0.002386724,0.0001772321,0.00005065809,0.0005798863,0.9792189,0.0001235273,0.01117335],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1811117,"threshold_uncertainty_score":0.6058789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0208625631203388,"score_gpt":0.2462227987934123,"score_spread":0.2253602356730735,"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."}}