{"id":"W6943290429","doi":"10.15468/dl.snvqvc","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); Set (abstract data type); Order (exchange)","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":[0.001129758,0.001945709,0.00169197,0.005370016,0.001035553,0.002884427,0.002959238,0.002021543,0.1855263],"category_scores_gemma":[0.006866431,0.001017353,0.001156851,0.01075861,0.0004550925,0.002465253,0.002709075,0.002027896,0.2408617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001635421,"about_ca_system_score_gemma":0.002430516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02075486,"about_ca_topic_score_gemma":0.03333503,"domain_scores_codex":[0.9988534,0.0001528688,0.0001542927,0.0004012099,0.0002539566,0.0001841819],"domain_scores_gemma":[0.9972419,0.0008204447,0.0002642721,0.0007052129,0.0006601484,0.000308105],"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":[0.00002871604,0.000009725964,0.0003410955,0.0005905068,0.00001547224,0.00001462099,0.00002397567,0.0001134536,0.0001120761,0.0004014349,0.9969832,0.001365675],"study_design_scores_gemma":[0.00006711719,0.000006885507,0.001618111,0.000200077,0.00001455739,0.00003459763,0.00006590098,0.0001250067,0.0001698482,0.0007512637,0.9969296,0.00001705678],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003120739,0.00002301383,0.00004293923,0.00003039961,0.00001001173,0.000004419729,0.9989234,0.0003333242,0.0006012801],"genre_scores_gemma":[0.0001454226,0.0000336424,0.0001902224,0.00004320219,0.00000323238,0.00004015068,0.9989098,0.0001711552,0.0004631169],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8144737,"threshold_uncertainty_score":0.6206472,"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."}}