{"id":"W6924555595","doi":"10.15468/dl.m7f5zt","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); 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":[0.001054536,0.002026187,0.001658789,0.004908481,0.001148098,0.002760303,0.003010154,0.002177266,0.1639411],"category_scores_gemma":[0.005962041,0.0009598978,0.001232225,0.009097555,0.0004697194,0.002395146,0.002734087,0.002114738,0.24194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001620037,"about_ca_system_score_gemma":0.002468657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02100562,"about_ca_topic_score_gemma":0.03626395,"domain_scores_codex":[0.9989215,0.0001414801,0.0001322657,0.0003833548,0.0002419298,0.0001794574],"domain_scores_gemma":[0.9975805,0.0006625963,0.0002105029,0.0006542582,0.0006121863,0.0002798477],"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":[0.00002689129,0.00001134381,0.0003575218,0.0005047508,0.0000142209,0.00001567024,0.00002543849,0.0001083065,0.0001330201,0.0003800401,0.9970578,0.001364993],"study_design_scores_gemma":[0.00006088199,0.000007338208,0.001620861,0.0001800116,0.00001417291,0.00003780339,0.00007102035,0.000141825,0.0002113414,0.0007422356,0.9968945,0.00001799085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004324665,0.00002817932,0.00005259838,0.00003667101,0.00001321945,0.000005791587,0.9986571,0.0004447687,0.0007184119],"genre_scores_gemma":[0.0001555997,0.00003109517,0.0002133441,0.00004453561,0.000003268395,0.00004509334,0.99884,0.0001757936,0.0004913083],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8360589,"threshold_uncertainty_score":0.5484378,"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."}}