{"id":"W6886875845","doi":"10.15468/dl.2tqq2d","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); Data set; 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":[0.001056981,0.001956369,0.00171969,0.005249095,0.001005875,0.002723405,0.003017314,0.00207531,0.153708],"category_scores_gemma":[0.006299524,0.0009714946,0.001215785,0.01031798,0.0004527735,0.002414564,0.002612502,0.002052663,0.2078427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001595424,"about_ca_system_score_gemma":0.002254241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02054606,"about_ca_topic_score_gemma":0.03233569,"domain_scores_codex":[0.9989255,0.0001479651,0.0001397873,0.0003726286,0.0002392281,0.0001748118],"domain_scores_gemma":[0.9974383,0.00075347,0.0002391443,0.000667917,0.0006206505,0.0002804642],"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":[0.00003008623,0.00001161941,0.0003870291,0.0006024452,0.00001677174,0.00001523315,0.00002418792,0.0001336678,0.0001185424,0.0004102669,0.99683,0.001419971],"study_design_scores_gemma":[0.00007547554,0.000008011334,0.001816109,0.0001993272,0.00001557825,0.00003642922,0.0000749477,0.0001535593,0.0001826129,0.0008276952,0.9965919,0.00001824125],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003961858,0.00002719325,0.0000450033,0.0000343989,0.00001091353,0.000004998851,0.9988878,0.000374879,0.00057521],"genre_scores_gemma":[0.0001627624,0.00003501905,0.0001979274,0.0000425297,0.000003290582,0.00004149615,0.998937,0.000154958,0.0004250671],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.846292,"threshold_uncertainty_score":0.5142043,"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."}}