{"id":"W6943505541","doi":"10.15468/dl.pg5vwz","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); Confidentiality; 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":[0.001041711,0.002057137,0.001682342,0.005138641,0.001039694,0.002657771,0.002935673,0.002216451,0.1470866],"category_scores_gemma":[0.00600552,0.0009183112,0.001202082,0.009810757,0.0004694907,0.002432561,0.002634643,0.00209501,0.2105685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001591555,"about_ca_system_score_gemma":0.002339832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02091999,"about_ca_topic_score_gemma":0.03514371,"domain_scores_codex":[0.9988871,0.0001558414,0.0001386754,0.0003961204,0.0002430301,0.0001791357],"domain_scores_gemma":[0.9974539,0.0007165364,0.0002454472,0.000681578,0.0005999625,0.0003026403],"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":[0.00003091405,0.00001260703,0.000389371,0.0005487643,0.00001544588,0.00001584275,0.00002362317,0.0001280602,0.000117683,0.0003790397,0.9970067,0.001331964],"study_design_scores_gemma":[0.0000808938,0.000008815083,0.00192174,0.0001910449,0.00001469823,0.00003987107,0.00007422559,0.0001566483,0.0001885386,0.0008226021,0.9964819,0.00001897252],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004285264,0.00002826213,0.0000435183,0.00003635012,0.0000114689,0.000005320248,0.9988695,0.0003739333,0.0005888079],"genre_scores_gemma":[0.0001610709,0.00003246648,0.0001935816,0.00004587524,0.000003384198,0.00004113583,0.9989401,0.0001373671,0.0004449524],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8529134,"threshold_uncertainty_score":0.4920536,"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."}}