{"id":"W6887421317","doi":"10.15468/dl.zhv8ap","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":[0.0009618793,0.002028618,0.001562356,0.004662126,0.0009496391,0.002383688,0.002800836,0.001956991,0.1421821],"category_scores_gemma":[0.005523947,0.0009325893,0.001193599,0.009408629,0.0004455422,0.002246604,0.002528571,0.002010923,0.2085477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00159199,"about_ca_system_score_gemma":0.002230422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02300744,"about_ca_topic_score_gemma":0.03710812,"domain_scores_codex":[0.9990537,0.000123449,0.0001229999,0.0003257775,0.000215186,0.0001589125],"domain_scores_gemma":[0.9977742,0.0006142996,0.0002033664,0.0006056473,0.0005470811,0.0002553765],"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":[0.00003093067,0.00001178765,0.0003995504,0.0005555754,0.00001576299,0.0000165238,0.000029372,0.0001426306,0.0001454206,0.0004094857,0.9966279,0.001615043],"study_design_scores_gemma":[0.00006521498,0.000007294497,0.001784377,0.0001698322,0.00001347418,0.00003664405,0.00007557469,0.0001584775,0.0002069253,0.0007268065,0.9967379,0.00001746731],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004621067,0.00002498894,0.00005532598,0.00003287347,0.00001196408,0.000005363623,0.9986992,0.0004836698,0.0006403262],"genre_scores_gemma":[0.0001606655,0.0000298621,0.0002294605,0.00003829845,0.000002940383,0.00004006549,0.9989212,0.000179373,0.0003982082],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8578179,"threshold_uncertainty_score":0.4756464,"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."}}