{"id":"W6887279167","doi":"10.15468/dl.xtm5nq","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":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0009032991,0.001836092,0.001559704,0.004755651,0.001056168,0.002942726,0.002770283,0.001892063,0.1915355],"category_scores_gemma":[0.006122775,0.0008944128,0.001377413,0.009468126,0.0004162399,0.002559999,0.002757196,0.00194476,0.2782888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001424682,"about_ca_system_score_gemma":0.002320329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02003309,"about_ca_topic_score_gemma":0.03210096,"domain_scores_codex":[0.9989655,0.0001272641,0.0001297149,0.0003698804,0.000222917,0.0001847587],"domain_scores_gemma":[0.9975659,0.0006353243,0.0001965966,0.0006869156,0.0006563897,0.0002589157],"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":[0.00002929862,0.000009586034,0.0004224099,0.0005050096,0.0000146845,0.00001657225,0.00002549221,0.0001232154,0.0001214003,0.0003938523,0.9964617,0.001876769],"study_design_scores_gemma":[0.00005182636,0.000006787559,0.001604271,0.0001550808,0.00001225601,0.00003425003,0.00007489068,0.0001634416,0.0001764964,0.0008010574,0.9969037,0.00001606019],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000485166,0.00003138786,0.00006697576,0.00004547501,0.00001772905,0.000006064803,0.9982084,0.0006918852,0.0008835419],"genre_scores_gemma":[0.0001967886,0.00004129967,0.0002685432,0.00005507749,0.000005005839,0.00004442596,0.9984857,0.0002530561,0.0006501286],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8084645,"threshold_uncertainty_score":0.6407501,"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."}}