{"id":"W6924645433","doi":"10.15468/dl.pmy322","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); Set (abstract data type); 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":[0.001161363,0.001921564,0.001665904,0.005047305,0.001093407,0.00288872,0.002985066,0.002061953,0.1853707],"category_scores_gemma":[0.007051902,0.001002357,0.001169335,0.01040907,0.0004611269,0.00272471,0.002840091,0.002186939,0.2541484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001637182,"about_ca_system_score_gemma":0.002545462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02124172,"about_ca_topic_score_gemma":0.03746639,"domain_scores_codex":[0.9987804,0.0001765845,0.0001582166,0.0004248131,0.0002738863,0.0001860945],"domain_scores_gemma":[0.9968818,0.0008956017,0.000269002,0.0008513419,0.0007745429,0.0003276567],"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":[0.00002435822,0.000009827691,0.0002952246,0.0004582825,0.00001215041,0.00001248473,0.00002331097,0.00009703385,0.00008905031,0.0003991268,0.9973507,0.001228501],"study_design_scores_gemma":[0.00005709201,0.000006271392,0.001323755,0.0001723173,0.00001113865,0.00002894033,0.00006652388,0.0001146357,0.0001548451,0.0008151897,0.9972335,0.0000159166],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003271716,0.00002209173,0.00005099411,0.00003586126,0.00001146201,0.000005229092,0.9987041,0.0004141179,0.0007234911],"genre_scores_gemma":[0.0001397562,0.00003156799,0.0002189056,0.00004550484,0.000003328626,0.00004274083,0.9987937,0.0001974379,0.0005268666],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8146293,"threshold_uncertainty_score":0.6201268,"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."}}