{"id":"W6962432074","doi":"10.15468/dl.uqb3kx","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":[0.001011331,0.001919501,0.001549645,0.00470905,0.001011812,0.002601817,0.002838888,0.002199751,0.1580771],"category_scores_gemma":[0.006417078,0.0008829693,0.001262658,0.008758473,0.0004519327,0.002406231,0.002510977,0.002004893,0.2227721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001563952,"about_ca_system_score_gemma":0.002299698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02160547,"about_ca_topic_score_gemma":0.03437372,"domain_scores_codex":[0.9989819,0.0001457646,0.0001260692,0.0003603631,0.0002210455,0.000164757],"domain_scores_gemma":[0.9974215,0.0007841254,0.0002151824,0.0006671743,0.0006392198,0.0002728149],"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":[0.00002752848,0.0000120896,0.0003985957,0.0005244811,0.00001390315,0.00001550396,0.00002219737,0.000127548,0.0001080821,0.0003353264,0.9969848,0.001429905],"study_design_scores_gemma":[0.00007389034,0.000009904186,0.002002126,0.0002236043,0.00001538638,0.00004008163,0.00008512783,0.0001910964,0.0001920084,0.0008317421,0.9963157,0.00001938902],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000452016,0.00002953444,0.00004688841,0.00004379401,0.00001400749,0.000006335075,0.9987792,0.0004138768,0.0006211759],"genre_scores_gemma":[0.0001758905,0.00003592417,0.0002110698,0.00005238892,0.000004044171,0.00004908617,0.9988411,0.0001468925,0.0004835239],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8419229,"threshold_uncertainty_score":0.5288205,"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."}}