{"id":"W6924857519","doi":"10.15468/dl.mrnphu","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); Alien; 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":[0.0009919466,0.002000259,0.001536956,0.004870848,0.001023033,0.002580859,0.00272509,0.002131519,0.1594179],"category_scores_gemma":[0.006202826,0.000879047,0.001266701,0.009107421,0.0004619316,0.002402559,0.002597978,0.001964861,0.2269717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001528949,"about_ca_system_score_gemma":0.002248717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02090229,"about_ca_topic_score_gemma":0.0329974,"domain_scores_codex":[0.9989661,0.0001477472,0.000126786,0.0003673209,0.0002220089,0.0001700873],"domain_scores_gemma":[0.9974203,0.0007509106,0.000218828,0.0007033123,0.0006306221,0.000276071],"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":[0.00002948332,0.00001226404,0.0003974411,0.0005257497,0.00001376884,0.00001576786,0.00002465219,0.0001333581,0.0001145911,0.0003590451,0.9968755,0.001498475],"study_design_scores_gemma":[0.00007119511,0.000009208514,0.001844591,0.0001952178,0.00001369899,0.0000372671,0.00008416305,0.0001740435,0.0001872881,0.0008033004,0.9965619,0.00001808143],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004911806,0.00002922572,0.00004992125,0.00004374329,0.00001490044,0.00000626561,0.9986772,0.0004513011,0.0006783563],"genre_scores_gemma":[0.0001794453,0.00003514827,0.0002241477,0.00005054829,0.000004253052,0.00004760847,0.9987997,0.0001618922,0.0004971836],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8405821,"threshold_uncertainty_score":0.533306,"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."}}