{"id":"W6924793953","doi":"10.15468/dl.kkeg9v","title":"Occurrence Download","year":2023,"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); Set (abstract data type); Free access","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":[0.0009738462,0.002000048,0.001666773,0.005183685,0.00101479,0.00252101,0.00284925,0.002103654,0.1560578],"category_scores_gemma":[0.005825723,0.0009325334,0.001208617,0.0105895,0.0004563442,0.002184389,0.002612865,0.001981656,0.2163596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001688329,"about_ca_system_score_gemma":0.002524903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02426199,"about_ca_topic_score_gemma":0.03645118,"domain_scores_codex":[0.9989759,0.0001309227,0.0001300814,0.0003478738,0.0002397925,0.0001754946],"domain_scores_gemma":[0.9976845,0.0006446097,0.0002243142,0.0005892658,0.0005825613,0.0002748381],"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":[0.00002959232,0.00001087363,0.0003930083,0.0005734967,0.00001601737,0.00001548196,0.00002602059,0.0001340427,0.0001296761,0.0003928265,0.9967525,0.001526436],"study_design_scores_gemma":[0.00007169918,0.000007488995,0.0019164,0.0002037271,0.00001478815,0.00003673463,0.00007540375,0.0001427627,0.00018543,0.0006921008,0.9966359,0.00001758673],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004084131,0.00002799945,0.00004181179,0.00003320239,0.000011121,0.000004820774,0.9988872,0.0003562238,0.0005967406],"genre_scores_gemma":[0.0001562731,0.0000346198,0.0001843723,0.00004066395,0.000002943808,0.00003988064,0.998983,0.000144043,0.0004141362],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8439422,"threshold_uncertainty_score":0.5220652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}