{"id":"W6943512725","doi":"10.15468/dl.vj3puv","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); 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":[0.0009215473,0.001829775,0.001690497,0.005709317,0.00108575,0.002957438,0.002729404,0.002055247,0.1921679],"category_scores_gemma":[0.006892778,0.0009448788,0.00139696,0.01013751,0.0003944276,0.002770395,0.00303933,0.001994781,0.2677203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001523574,"about_ca_system_score_gemma":0.002419925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01874722,"about_ca_topic_score_gemma":0.03008183,"domain_scores_codex":[0.9988261,0.0001334786,0.000164356,0.0004158363,0.000256964,0.0002033538],"domain_scores_gemma":[0.9972362,0.0007238007,0.0002498935,0.0007431427,0.0007406431,0.0003064382],"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":[0.00003987866,0.00001222518,0.0005385643,0.0007122601,0.00001833797,0.00002209961,0.00002695823,0.0001132157,0.0001576875,0.0004443776,0.9956788,0.002235651],"study_design_scores_gemma":[0.00005634168,0.000008448257,0.001739612,0.0001959591,0.00001501483,0.0000459324,0.00007381505,0.0001496904,0.0001927263,0.0007197048,0.9967862,0.00001665536],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005351379,0.0000402664,0.00006785892,0.00004696516,0.00001857298,0.000006555255,0.9981517,0.0007348409,0.0008797507],"genre_scores_gemma":[0.0001930189,0.00005134319,0.0002760979,0.00006881829,0.000005396556,0.00004161544,0.9984683,0.0002496776,0.0006455522],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8078321,"threshold_uncertainty_score":0.6428658,"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."}}