{"id":"W6905717228","doi":"10.15468/dl.kzvsuo","title":"Occurrence Download","year":2019,"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); Data archive; Shrew","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":["insufficient_payload"],"category_scores_codex":[0.0008117662,0.002423392,0.002263796,0.006685595,0.001588674,0.004630274,0.003161621,0.00280823,0.3353914],"category_scores_gemma":[0.007048298,0.001006594,0.001808587,0.01146488,0.0004468648,0.004807099,0.00416075,0.002471553,0.464473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001958071,"about_ca_system_score_gemma":0.002854886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0222638,"about_ca_topic_score_gemma":0.03870344,"domain_scores_codex":[0.9987128,0.0001473138,0.0001931402,0.000441751,0.0002956213,0.0002094816],"domain_scores_gemma":[0.9973159,0.0006399851,0.0001990554,0.0006139589,0.0008909372,0.0003401638],"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":[0.00005102014,0.00001302824,0.0003086542,0.0007210847,0.00001282259,0.00002732,0.00002972263,0.00008977159,0.0001042064,0.0005862089,0.9943884,0.003667672],"study_design_scores_gemma":[0.00004822492,0.000009651036,0.0008549656,0.0001786146,0.00001038877,0.00004705099,0.00007759417,0.0001707569,0.000110375,0.001030402,0.9974451,0.00001686944],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007680613,0.000115719,0.0001701875,0.0001245302,0.00004405539,0.00001707831,0.9936677,0.002110138,0.00367377],"genre_scores_gemma":[0.0003015045,0.0001281417,0.0005912696,0.0001430557,0.00001350843,0.0000629862,0.9959818,0.0005591551,0.002218554],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6646086,"threshold_uncertainty_score":0.9479835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}