{"id":"W6905937576","doi":"10.15468/dl.sr3ncd","title":"Occurrence Download","year":2022,"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; Species name","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":[0.0009368775,0.001914015,0.001530683,0.00456134,0.0009822167,0.002632682,0.002696991,0.002019046,0.1876889],"category_scores_gemma":[0.006357802,0.0008973064,0.00123759,0.00852043,0.0004258069,0.002532537,0.002609943,0.002019571,0.2544293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001512415,"about_ca_system_score_gemma":0.002184849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02026814,"about_ca_topic_score_gemma":0.03297177,"domain_scores_codex":[0.9990214,0.0001367855,0.0001145272,0.000359224,0.000208781,0.0001591956],"domain_scores_gemma":[0.9974024,0.0007759199,0.0002141128,0.0006895155,0.0006366166,0.0002813829],"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":[0.00002420712,0.000010331,0.0003356422,0.0004638621,0.00001180055,0.00001222759,0.00002027805,0.0001079734,0.00008965914,0.0003152719,0.9972779,0.001330883],"study_design_scores_gemma":[0.00006731389,0.000008566174,0.001722535,0.0002002001,0.00001337905,0.00003203586,0.00007301282,0.000172646,0.0001722917,0.0008642678,0.9966564,0.00001733608],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003968282,0.00002590238,0.00004552587,0.00004297218,0.00001345806,0.000005951688,0.9986933,0.0004461825,0.0006871282],"genre_scores_gemma":[0.0001695093,0.00003618777,0.000221046,0.00005721051,0.000004183278,0.0000508574,0.9986822,0.0001981077,0.0005806558],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8123112,"threshold_uncertainty_score":0.6278818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}