{"id":"W6906031227","doi":"10.15468/dl.tqup58","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); State (computer science); Confidentiality","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":[0.0009977045,0.001958715,0.001491179,0.004995113,0.0009420459,0.002412854,0.002684655,0.002038712,0.1348729],"category_scores_gemma":[0.005645543,0.0008604045,0.001123922,0.009510597,0.0004462414,0.002135771,0.002425268,0.001966645,0.1883022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001538167,"about_ca_system_score_gemma":0.002204663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02096279,"about_ca_topic_score_gemma":0.03578826,"domain_scores_codex":[0.9990031,0.0001410437,0.0001256969,0.0003465933,0.0002187015,0.0001650002],"domain_scores_gemma":[0.9976373,0.0006910513,0.0002295205,0.0006165428,0.000544735,0.0002809638],"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":[0.00002882534,0.00001295657,0.0004283439,0.000523864,0.00001511883,0.0000154906,0.00002428569,0.0001459436,0.0001203039,0.0003717807,0.9968717,0.001441567],"study_design_scores_gemma":[0.00007701249,0.000009400312,0.002151344,0.0001965145,0.00001502929,0.00004212301,0.00008094573,0.0001855296,0.0001988349,0.0007625684,0.9962624,0.00001832332],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005318984,0.00002897549,0.0000457015,0.00003696142,0.00001260087,0.000005343233,0.9988594,0.0003554718,0.0006023021],"genre_scores_gemma":[0.0001750614,0.00003153951,0.0001899909,0.00004138762,0.000003390755,0.00004033645,0.9989836,0.0001209247,0.0004137219],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8651271,"threshold_uncertainty_score":0.4511946,"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."}}