{"id":"W6906084194","doi":"10.15468/dl.t2xd3q","title":"Occurrence Download","year":2022,"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":[0.00112152,0.002124028,0.001677106,0.005367286,0.001081227,0.002751033,0.003011801,0.002113569,0.1671748],"category_scores_gemma":[0.006539476,0.00100726,0.001222122,0.01034369,0.0004840105,0.00243793,0.002733452,0.002123835,0.237173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001668444,"about_ca_system_score_gemma":0.002525666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02295789,"about_ca_topic_score_gemma":0.036469,"domain_scores_codex":[0.9988226,0.0001584031,0.0001523906,0.0004121467,0.0002640957,0.0001902959],"domain_scores_gemma":[0.9972535,0.0007734297,0.0002533405,0.000727006,0.0006839875,0.0003087095],"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":[0.00002724908,0.00001063308,0.000342922,0.0004992091,0.00001419397,0.00001461649,0.00002419854,0.0001079904,0.0001100008,0.0003665814,0.9972417,0.001240514],"study_design_scores_gemma":[0.00006830331,0.000007172122,0.001689852,0.0001815605,0.00001404654,0.00003665673,0.00007244472,0.0001332474,0.0001821164,0.0007488828,0.9968478,0.00001780893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000347939,0.00002329616,0.00004459019,0.0000322501,0.00001110814,0.00000497185,0.9988821,0.0003663248,0.0006006054],"genre_scores_gemma":[0.0001398379,0.00002985165,0.0001873638,0.00004146942,0.000003198956,0.00004029291,0.9989545,0.0001625257,0.0004409107],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8328252,"threshold_uncertainty_score":0.5592556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}