{"id":"W6962233583","doi":"10.15468/dl.8bc4rq","title":"Occurrence Download","year":2024,"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)","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":[0.001091439,0.002066874,0.001713875,0.004838707,0.001097359,0.002712906,0.003076121,0.002216162,0.1750827],"category_scores_gemma":[0.006828743,0.001047268,0.001260367,0.008936667,0.0004858572,0.002515403,0.002775779,0.002297652,0.237827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001748117,"about_ca_system_score_gemma":0.002534387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02146021,"about_ca_topic_score_gemma":0.03477003,"domain_scores_codex":[0.9989184,0.0001397594,0.0001323715,0.0003900583,0.000245828,0.0001736314],"domain_scores_gemma":[0.9973854,0.0007518416,0.000234338,0.000693229,0.0006303717,0.0003047691],"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":[0.00002626195,0.00001066939,0.0003249774,0.0004815844,0.00001380147,0.00001301878,0.00002260862,0.0001125534,0.0001090565,0.0003605557,0.9972007,0.001324279],"study_design_scores_gemma":[0.0000746494,0.00000754889,0.00152479,0.000191385,0.00001447919,0.00003561461,0.00006896281,0.0001546571,0.0001980556,0.0008169376,0.9968953,0.00001755695],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003697824,0.00002582159,0.00005136142,0.00003896683,0.00001306441,0.000005496915,0.9987563,0.0004523978,0.0006196987],"genre_scores_gemma":[0.0001486175,0.00003292634,0.0002301853,0.00004871779,0.000003404329,0.00004727365,0.9987963,0.0001947244,0.0004977987],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8249173,"threshold_uncertainty_score":0.58571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}