{"id":"W6905910301","doi":"10.15468/dl.rs6avv","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":"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":[0.0008348047,0.002038581,0.00142073,0.004615299,0.0009730426,0.002304394,0.002669134,0.001839048,0.1368077],"category_scores_gemma":[0.005599422,0.0008346555,0.001235764,0.008954189,0.0004251046,0.002088533,0.002350538,0.001696415,0.1869741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001569741,"about_ca_system_score_gemma":0.002361656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02665658,"about_ca_topic_score_gemma":0.04388757,"domain_scores_codex":[0.9990121,0.0001269913,0.0001317992,0.000345607,0.0002225095,0.0001609147],"domain_scores_gemma":[0.9978521,0.0005906667,0.0002052583,0.0005477738,0.0005613493,0.0002428929],"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":[0.00003316695,0.00001218937,0.0004224059,0.0005129966,0.00001491417,0.00001591457,0.00002376961,0.0001369433,0.0001197611,0.0003760208,0.9967369,0.00159497],"study_design_scores_gemma":[0.00007748415,0.00001121824,0.002066436,0.0001860245,0.00001592868,0.00004403782,0.00007522487,0.000203571,0.0002162879,0.0008035924,0.9962807,0.0000194453],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005806444,0.00003266103,0.00004925046,0.00003615308,0.00001252874,0.000005795078,0.9986112,0.0005071838,0.0006871451],"genre_scores_gemma":[0.0001742849,0.00003374361,0.0002132947,0.00004211163,0.00000312216,0.00003592002,0.9988974,0.0001429485,0.0004571129],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8631923,"threshold_uncertainty_score":0.4576672,"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."}}