{"id":"W6962288084","doi":"10.15468/dl.pzyqjq","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":"Matching (statistics); Range (aeronautics); Download; Set (abstract data type); State (computer science)","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":[0.000915377,0.002047188,0.001596909,0.005052874,0.0009310303,0.002582436,0.002761591,0.001878932,0.1654775],"category_scores_gemma":[0.005645623,0.0009816753,0.001183528,0.01007202,0.0004266977,0.002299395,0.002558597,0.001909042,0.2241598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001465766,"about_ca_system_score_gemma":0.002231134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01893873,"about_ca_topic_score_gemma":0.03247224,"domain_scores_codex":[0.9989261,0.0001421902,0.0001398857,0.0003885076,0.0002272646,0.0001760011],"domain_scores_gemma":[0.997516,0.0006657726,0.000243854,0.0006626407,0.0006211667,0.0002904129],"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":[0.00003512793,0.00001195063,0.0003957454,0.000550535,0.0000153899,0.00001407387,0.00002097875,0.0001273115,0.0001263014,0.000384558,0.9968386,0.001479365],"study_design_scores_gemma":[0.00007626111,0.000008820324,0.00180052,0.0001699169,0.00001431497,0.00003369909,0.00005859523,0.000145109,0.0001819269,0.0008125009,0.9966798,0.00001852968],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003886807,0.00002273372,0.00003916477,0.00002804211,0.00001045087,0.0000046154,0.9989161,0.0003440635,0.0005959114],"genre_scores_gemma":[0.0001467058,0.00003103075,0.0001911497,0.00004419572,0.000003448515,0.00003868906,0.9989329,0.0001452829,0.0004666155],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8345225,"threshold_uncertainty_score":0.5535774,"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."}}