{"id":"W6887040572","doi":"10.15468/dl.n5tspu","title":"Occurrence Download","year":2018,"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); The Internet","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":[0.001034136,0.001962635,0.001564722,0.005945321,0.0009852087,0.002613019,0.002812373,0.001895845,0.1579613],"category_scores_gemma":[0.006417455,0.0008879661,0.00117651,0.01094726,0.0004351844,0.002526936,0.002862417,0.002049383,0.2150406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001555767,"about_ca_system_score_gemma":0.002512967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02201457,"about_ca_topic_score_gemma":0.03702017,"domain_scores_codex":[0.9988289,0.000154512,0.0001600401,0.0004009206,0.0002650979,0.0001905254],"domain_scores_gemma":[0.9971907,0.0007657711,0.0002630697,0.0007527816,0.0007028062,0.0003249366],"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":[0.00002895523,0.0000106625,0.0003753582,0.0005054717,0.00001554708,0.00001686241,0.00002580922,0.0001057214,0.0001108252,0.0004226388,0.9969612,0.001421005],"study_design_scores_gemma":[0.00006234306,0.00000750554,0.001886083,0.0001785775,0.00001379293,0.00004106686,0.00007414247,0.0001329332,0.000187872,0.0007580988,0.9966406,0.00001708353],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004385367,0.00002599543,0.00005341633,0.00003495533,0.0000120949,0.000005543716,0.9986913,0.0004651694,0.0006677143],"genre_scores_gemma":[0.0001487499,0.00003038835,0.0001917598,0.00003788541,0.000003300318,0.0000364592,0.9989686,0.0001535111,0.0004293401],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8420387,"threshold_uncertainty_score":0.5284333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}