{"id":"W6905517819","doi":"10.15468/dl.6ht33e","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Extant taxon; Download; Entomology; Arthropod; Barcode; Matching (statistics)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009506883,0.00230922,0.002082722,0.006986793,0.001422211,0.004475553,0.003057871,0.002256844,0.3842058],"category_scores_gemma":[0.007390389,0.001089575,0.001611542,0.0107566,0.0004219985,0.004667813,0.004064399,0.002271279,0.4639638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001622049,"about_ca_system_score_gemma":0.002273844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01599619,"about_ca_topic_score_gemma":0.02872241,"domain_scores_codex":[0.9987283,0.0001523224,0.0001830042,0.0004560226,0.0002803745,0.0001999954],"domain_scores_gemma":[0.9970834,0.0007536776,0.0002352349,0.00070386,0.0008813741,0.0003425305],"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":[0.00004318407,0.00001175947,0.0003088427,0.0005513364,0.00001153341,0.0000219323,0.00002521847,0.00007595104,0.00008082132,0.0004363616,0.9951533,0.003279719],"study_design_scores_gemma":[0.00005483722,0.0000106541,0.001069724,0.0001768304,0.00001153377,0.00005020359,0.00008074127,0.0002063996,0.0001364007,0.001244183,0.9969401,0.00001844481],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006722525,0.0000726766,0.0001561787,0.00008400231,0.00003033604,0.00001372696,0.9948629,0.001891575,0.002821459],"genre_scores_gemma":[0.0003130265,0.0000846223,0.0005789382,0.0001178176,0.00001273145,0.0000633692,0.9960842,0.0006730875,0.002072109],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6157942,"threshold_uncertainty_score":0.8783557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}