{"id":"W6925085200","doi":"10.15468/dl.zpbagg","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":"Matching (statistics); Download; Range (aeronautics); Identification (biology)","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":[0.0009223493,0.001917526,0.001568882,0.004982303,0.0009686236,0.002596186,0.002730077,0.001889697,0.1688042],"category_scores_gemma":[0.005643723,0.0009284171,0.001106684,0.01006786,0.0004189986,0.002285871,0.002455457,0.001882802,0.2306012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00150549,"about_ca_system_score_gemma":0.002270889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0192728,"about_ca_topic_score_gemma":0.03428421,"domain_scores_codex":[0.9989795,0.0001381296,0.0001306937,0.0003622267,0.0002172315,0.0001722158],"domain_scores_gemma":[0.9976833,0.0006197251,0.0002240289,0.000592762,0.0006181698,0.0002618841],"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":[0.00002984795,0.00001033088,0.0003521025,0.0005408903,0.00001387528,0.00001314392,0.0000208126,0.0001113747,0.000121033,0.0004113095,0.9969777,0.001397574],"study_design_scores_gemma":[0.0000612531,0.000007616934,0.001616333,0.0001727793,0.00001306041,0.00003054273,0.00005502476,0.000110363,0.00017248,0.0007670546,0.9969764,0.00001700524],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003843907,0.00002604209,0.00004035886,0.00002968395,0.0000109366,0.0000046252,0.9988506,0.0003000442,0.0006992415],"genre_scores_gemma":[0.0001474673,0.00003424598,0.0001842939,0.00004428696,0.000003457478,0.0000403182,0.9988612,0.0001390781,0.0005456957],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8311958,"threshold_uncertainty_score":0.5647064,"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."}}