{"id":"W6886844030","doi":"10.15468/dl.arbz47","title":"Occurrence Download","year":2025,"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); Invasive species","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":[0.000888443,0.002074455,0.001619984,0.004984904,0.0009566848,0.002623126,0.002923236,0.002115634,0.1384327],"category_scores_gemma":[0.005630462,0.0008960889,0.001239641,0.009541623,0.0004371104,0.002333355,0.002503662,0.001908591,0.2047447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001671962,"about_ca_system_score_gemma":0.002168561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02110993,"about_ca_topic_score_gemma":0.03510932,"domain_scores_codex":[0.999007,0.0001364689,0.0001246109,0.0003596109,0.0002103785,0.0001618693],"domain_scores_gemma":[0.9978897,0.0005797047,0.0002027926,0.0005640163,0.0005143398,0.0002494164],"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":[0.00002968225,0.00001206226,0.0004193512,0.0006021574,0.00001656396,0.00001580511,0.00002211552,0.0001428101,0.0001077427,0.0003419986,0.9966893,0.0016006],"study_design_scores_gemma":[0.00007921545,0.0000101854,0.002028001,0.0002171831,0.0000170507,0.00004670383,0.00007757978,0.0002184961,0.0001853781,0.000757855,0.9963438,0.00001850345],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004693647,0.00003794433,0.0000439874,0.00003977718,0.0000124218,0.000005209616,0.9988291,0.00042381,0.0005608163],"genre_scores_gemma":[0.0001654203,0.00003953297,0.0001934911,0.00004552805,0.000003567168,0.00003889146,0.9989772,0.0001212228,0.0004151045],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8615673,"threshold_uncertainty_score":0.4631035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}