{"id":"W6887049351","doi":"10.15468/dl.m36qah","title":"Occurrence Download","year":2023,"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); Data set","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":[0.001025858,0.001788753,0.001545627,0.004907063,0.0009422936,0.002614059,0.002775899,0.001989373,0.178073],"category_scores_gemma":[0.006068361,0.0009165421,0.001208965,0.01053131,0.0004210325,0.002287512,0.002527821,0.001975908,0.2304316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001479198,"about_ca_system_score_gemma":0.002302314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01975542,"about_ca_topic_score_gemma":0.03207941,"domain_scores_codex":[0.9989723,0.0001406076,0.0001355726,0.0003562782,0.0002251886,0.0001700773],"domain_scores_gemma":[0.9975294,0.0006912019,0.0002361436,0.000654759,0.0006025828,0.000285896],"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":[0.00002680608,0.000009480591,0.0003734627,0.0005117028,0.00001474199,0.000012181,0.00002136775,0.0001088796,0.0001025142,0.0003755589,0.9970578,0.001385572],"study_design_scores_gemma":[0.00006290277,0.000006760086,0.001787507,0.0001924403,0.00001392811,0.00003024891,0.00006321838,0.0001217012,0.0001689753,0.0007690394,0.9967679,0.00001546373],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003441663,0.00002413533,0.00004074956,0.00003270069,0.00001134677,0.000004532918,0.9989507,0.0002999878,0.0006014506],"genre_scores_gemma":[0.0001570534,0.00003404226,0.0001897153,0.00004544357,0.000003522117,0.00004162091,0.9988826,0.0001502854,0.0004957271],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.821927,"threshold_uncertainty_score":0.5957135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}