{"id":"W6905681704","doi":"10.15468/dl.k6yq2n","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":[0.0009988419,0.001857317,0.001535218,0.004586223,0.0009761564,0.00247281,0.00269953,0.002062714,0.1539727],"category_scores_gemma":[0.005984413,0.0008936207,0.001231487,0.009030873,0.0004575555,0.002300152,0.002554477,0.001987501,0.2153768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001465652,"about_ca_system_score_gemma":0.002152899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01940454,"about_ca_topic_score_gemma":0.03144003,"domain_scores_codex":[0.9990047,0.000140886,0.0001246289,0.0003492519,0.0002162303,0.0001642211],"domain_scores_gemma":[0.9974157,0.0007614995,0.0002276732,0.0007025124,0.0006094727,0.000283179],"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":[0.00002798694,0.00001216824,0.0003865089,0.0005200847,0.0000137915,0.0000147165,0.00002426241,0.0001321425,0.0001184197,0.0003548463,0.9969394,0.001455694],"study_design_scores_gemma":[0.00007718513,0.000009764865,0.002057698,0.0001978525,0.0000141265,0.00003733636,0.00008456619,0.0001744564,0.0001961402,0.0007657265,0.996367,0.00001816974],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005112156,0.00002770558,0.0000498149,0.00004228328,0.00001511834,0.000006223327,0.9987493,0.00042534,0.0006331198],"genre_scores_gemma":[0.000176917,0.00003453432,0.000219589,0.00004855827,0.00000418946,0.00004871026,0.9988257,0.0001562966,0.000485422],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8460274,"threshold_uncertainty_score":0.5150899,"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."}}