{"id":"W6887186587","doi":"10.15468/dl.s38kwv","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); Alien; The Internet","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":[0.0009947622,0.001890623,0.001583289,0.004718575,0.001006313,0.002465212,0.002814993,0.002166544,0.1526669],"category_scores_gemma":[0.005933729,0.0008966803,0.001262714,0.009195467,0.0004555734,0.002179489,0.002511828,0.00199642,0.21809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001560441,"about_ca_system_score_gemma":0.00235052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0214284,"about_ca_topic_score_gemma":0.03408585,"domain_scores_codex":[0.9989763,0.0001405757,0.0001275533,0.0003546951,0.0002306157,0.0001702232],"domain_scores_gemma":[0.9974613,0.0007482136,0.0002269275,0.0006651018,0.0006190487,0.0002793959],"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":[0.00003168101,0.00001327851,0.0004042455,0.0005663873,0.00001490246,0.000016352,0.00002397178,0.0001292572,0.0001356761,0.0003593407,0.99681,0.001494812],"study_design_scores_gemma":[0.00008055418,0.00001016602,0.002146401,0.0002178344,0.0000158836,0.00004056646,0.00008008257,0.0001707348,0.0002199883,0.0007540258,0.9962448,0.00001894329],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004884224,0.00002890778,0.00004342255,0.00003805071,0.0000125885,0.000005988938,0.9987936,0.0003941969,0.0006343751],"genre_scores_gemma":[0.0001694559,0.00003309381,0.0001936379,0.0000464071,0.000003502829,0.00004544323,0.9989189,0.0001370391,0.0004525204],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8473331,"threshold_uncertainty_score":0.5107218,"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."}}