{"id":"W6943620423","doi":"10.15468/dl.zjrk73","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; Key (lock)","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":[0.0009538893,0.001933023,0.001565924,0.004956769,0.001020558,0.002481114,0.002773783,0.002127425,0.1471041],"category_scores_gemma":[0.005698935,0.0008893099,0.001289741,0.009456752,0.000450955,0.002277963,0.002524279,0.002019173,0.2092846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00160423,"about_ca_system_score_gemma":0.002350301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02324762,"about_ca_topic_score_gemma":0.03808464,"domain_scores_codex":[0.9989663,0.0001417179,0.0001284279,0.0003578565,0.0002312378,0.0001744973],"domain_scores_gemma":[0.9975229,0.0007184112,0.000220944,0.000663077,0.0005996414,0.0002749661],"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":[0.0000303259,0.00001289582,0.0004151074,0.0005457022,0.00001474329,0.00001644317,0.00002565756,0.0001295885,0.0001230525,0.0003736007,0.9968053,0.001507582],"study_design_scores_gemma":[0.00007108508,0.000009366704,0.002117137,0.0002075396,0.0000150713,0.00004123453,0.00008454162,0.0001585059,0.0001996555,0.0007596725,0.9963179,0.00001843589],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004961431,0.00002985782,0.00004535988,0.00003978076,0.0000130472,0.000005674851,0.9987741,0.000398874,0.0006436683],"genre_scores_gemma":[0.0001675445,0.0000343293,0.0001941588,0.00004592502,0.000003429708,0.000041195,0.9989049,0.0001363885,0.0004720168],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8528959,"threshold_uncertainty_score":0.4921122,"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."}}