{"id":"W6943443980","doi":"10.15468/dl.8emz6n","title":"Occurrence Download","year":2024,"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); Listing (finance); Range (aeronautics); Order (exchange)","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":[0.001047997,0.001940303,0.001517804,0.005208637,0.0009553377,0.002641913,0.002763721,0.001833288,0.2020145],"category_scores_gemma":[0.006697075,0.000968481,0.00118279,0.009786749,0.0004503162,0.00258824,0.002847531,0.001863232,0.264099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001752385,"about_ca_system_score_gemma":0.00246779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0228815,"about_ca_topic_score_gemma":0.03676489,"domain_scores_codex":[0.998995,0.0001342444,0.0001271624,0.0003503155,0.0002152351,0.0001780301],"domain_scores_gemma":[0.9972426,0.0007477457,0.0002659366,0.0007195178,0.0007280901,0.0002960929],"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":[0.0000233358,0.000007803679,0.0003112386,0.0004356503,0.0000120886,0.00001120835,0.00001875923,0.00009861864,0.00007916986,0.0003523137,0.9973986,0.00125107],"study_design_scores_gemma":[0.00006035894,0.000006442242,0.001496485,0.0001891853,0.00001229423,0.00002736933,0.00006033856,0.0001163816,0.0001496779,0.000798451,0.9970679,0.00001505752],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000233562,0.00001581491,0.00003364563,0.00002674776,0.000009485995,0.000004300939,0.9990171,0.0002954529,0.0005740246],"genre_scores_gemma":[0.0001291026,0.00002901733,0.0001896391,0.0000424571,0.000003479681,0.00004023854,0.998909,0.0001592104,0.0004978665],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7979855,"threshold_uncertainty_score":0.6758059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}