{"id":"W6905719530","doi":"10.15468/dl.apzaht","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); Reference data; 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":[0.0009280873,0.001871624,0.00152051,0.005166888,0.0009185488,0.00251811,0.002640003,0.001851936,0.1665924],"category_scores_gemma":[0.00557397,0.0008965048,0.001133647,0.01017204,0.0004244433,0.002153248,0.002507195,0.001870612,0.2226029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001542022,"about_ca_system_score_gemma":0.002372256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02392224,"about_ca_topic_score_gemma":0.03912205,"domain_scores_codex":[0.9990018,0.000132452,0.0001297473,0.0003342143,0.0002220827,0.0001797999],"domain_scores_gemma":[0.9975919,0.0006309418,0.0002351195,0.0006315017,0.0006106644,0.0002999251],"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":[0.00003215776,0.00001124001,0.0003997618,0.0005308083,0.00001585561,0.00001465962,0.00002181241,0.0001178337,0.0001227802,0.0003644572,0.9969544,0.001414051],"study_design_scores_gemma":[0.00007748392,0.000008434355,0.002041509,0.0001867718,0.0000150618,0.00003612358,0.00006781194,0.0001332015,0.0001970129,0.0007360175,0.9964831,0.00001736228],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003995066,0.00002336572,0.00003594186,0.00002953383,0.000009866721,0.000004749312,0.9989472,0.0003266696,0.000582769],"genre_scores_gemma":[0.0001461572,0.00003008722,0.0001604173,0.00003986232,0.000003169032,0.00003464983,0.9990261,0.0001313904,0.0004281499],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8334076,"threshold_uncertainty_score":0.5573072,"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."}}