{"id":"W6906082369","doi":"10.15468/dl.vh9ypb","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","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":[0.0009745228,0.001952151,0.001587981,0.004773817,0.0009640754,0.002594087,0.002771652,0.00208582,0.167],"category_scores_gemma":[0.005860286,0.0009157049,0.001124613,0.009397889,0.0004468714,0.002374443,0.002571289,0.002005164,0.2257768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001535403,"about_ca_system_score_gemma":0.00223571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02002988,"about_ca_topic_score_gemma":0.03497368,"domain_scores_codex":[0.9990075,0.0001385377,0.0001238986,0.0003564261,0.000211105,0.0001625508],"domain_scores_gemma":[0.9975217,0.0007083859,0.0002353776,0.0006544486,0.0005885932,0.0002915045],"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":[0.00002799582,0.00001087064,0.0003569911,0.0005081614,0.00001413434,0.00001459989,0.0000231949,0.0001248806,0.0001049279,0.0003806726,0.9971871,0.001246523],"study_design_scores_gemma":[0.0000743496,0.000007479489,0.00174995,0.0001753936,0.00001311681,0.00003433292,0.00007080706,0.000141758,0.0001722087,0.0008407175,0.9967017,0.00001813453],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003713436,0.00002190965,0.00004176319,0.00003300622,0.00001071403,0.000004758722,0.9989238,0.0003347438,0.0005921301],"genre_scores_gemma":[0.0001636179,0.0000298507,0.0002003459,0.00004506561,0.000003471347,0.0000421315,0.9988819,0.0001528123,0.0004808041],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8330001,"threshold_uncertainty_score":0.5586705,"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."}}