{"id":"W6962076758","doi":"10.15468/dl.qx9737","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); State (computer science); Confidentiality","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":[0.001050439,0.002016465,0.001584899,0.004984988,0.001046471,0.002532337,0.002953698,0.002180846,0.153798],"category_scores_gemma":[0.005972036,0.0009180391,0.001183639,0.009350323,0.0004768492,0.002431137,0.002588148,0.002113975,0.2150606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00157117,"about_ca_system_score_gemma":0.002293241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02067539,"about_ca_topic_score_gemma":0.03509413,"domain_scores_codex":[0.9989134,0.0001567646,0.0001380139,0.0003820739,0.0002307541,0.000178933],"domain_scores_gemma":[0.9974463,0.0007220478,0.0002378216,0.0007005549,0.0005988176,0.0002944616],"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":[0.00002827394,0.00001256347,0.0003486633,0.0004837169,0.00001391743,0.00001448771,0.00002314432,0.0001289244,0.0001055938,0.0003731191,0.997166,0.00130163],"study_design_scores_gemma":[0.00007540576,0.000008602329,0.001747072,0.0001803822,0.00001371414,0.0000386562,0.00007530688,0.0001647398,0.0001810727,0.0008219116,0.9966748,0.00001843599],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004553432,0.00002711299,0.00004942992,0.00003827455,0.00001352597,0.000005843331,0.9987796,0.0003918568,0.0006489436],"genre_scores_gemma":[0.0001577793,0.00003011911,0.0002007813,0.00004428578,0.000003551091,0.00004292915,0.9989403,0.0001395006,0.000440752],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.846202,"threshold_uncertainty_score":0.5145056,"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."}}