{"id":"W6924669557","doi":"10.15468/dl.qy5ekq","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":"Download; Matching (statistics); Range (aeronautics); Data set","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":[0.0009286366,0.001933163,0.001612214,0.005071243,0.001044073,0.002603402,0.00282611,0.00212139,0.1810425],"category_scores_gemma":[0.006102806,0.0009110096,0.001184283,0.009708068,0.0004355855,0.002433338,0.002595318,0.00199894,0.2388871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001724482,"about_ca_system_score_gemma":0.002394558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02506443,"about_ca_topic_score_gemma":0.03864078,"domain_scores_codex":[0.9989907,0.0001306485,0.0001281438,0.0003471544,0.0002305986,0.0001727781],"domain_scores_gemma":[0.9976321,0.0006925361,0.0002133262,0.0005761181,0.0006176299,0.0002682908],"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":[0.0000269263,0.00001048273,0.0003410876,0.0005501681,0.00001345306,0.00001553274,0.00002454688,0.0001130134,0.0001120081,0.0003864556,0.9970182,0.001388073],"study_design_scores_gemma":[0.00006646907,0.00000770038,0.001719128,0.0002102837,0.00001440071,0.00003739067,0.00007834002,0.0001449031,0.0001835545,0.0007659124,0.9967539,0.00001811153],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003825317,0.00002820173,0.00004509148,0.00003803135,0.0000123336,0.000005175498,0.998733,0.0004019111,0.0006979434],"genre_scores_gemma":[0.0001637246,0.00003757365,0.0002052931,0.00004996891,0.000003510172,0.00004150489,0.9987987,0.0001691135,0.0005306464],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8189575,"threshold_uncertainty_score":0.6056474,"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."}}