{"id":"W6924296723","doi":"10.15468/dl.dj5wju","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Set (abstract data type); Identification (biology); Download","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":[],"category_scores_codex":[0.0009743613,0.002277831,0.001670435,0.004498615,0.001002596,0.002583489,0.003129681,0.002023852,0.1376089],"category_scores_gemma":[0.006060617,0.0009428153,0.001257693,0.008805318,0.0004616657,0.002350732,0.002603711,0.002006059,0.1935103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001736544,"about_ca_system_score_gemma":0.00257639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0241409,"about_ca_topic_score_gemma":0.04071572,"domain_scores_codex":[0.9989746,0.0001419688,0.0001408831,0.0003630589,0.0002240309,0.0001555649],"domain_scores_gemma":[0.997871,0.0006045813,0.000199311,0.0005408971,0.0005318266,0.0002522287],"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":[0.00004131193,0.00001374198,0.0004162028,0.000639321,0.00001819451,0.00001884948,0.00002655256,0.0001648542,0.0001362668,0.000483636,0.9963809,0.001660188],"study_design_scores_gemma":[0.00008625949,0.000009324886,0.001481373,0.0001856784,0.00001584294,0.00004275427,0.00006606968,0.0002143665,0.0002147546,0.0009387319,0.9967258,0.00001905927],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000498262,0.00003346411,0.00006114639,0.00003689944,0.00001120349,0.000006195422,0.9984947,0.0006189948,0.0006874111],"genre_scores_gemma":[0.0001620036,0.00003867042,0.0002551496,0.00004580499,0.000002707271,0.0000366657,0.9988344,0.0001956844,0.0004288303],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8623911,"threshold_uncertainty_score":0.4603475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0089153214616674,"score_gpt":0.2136767702076688,"score_spread":0.2047614487460014,"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."}}