{"id":"W6961947113","doi":"10.15468/dl.nux27a","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); State (computer science); Confidentiality","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":[0.001012853,0.00196343,0.001505806,0.004872057,0.0009927186,0.002509144,0.002847584,0.002033354,0.1578841],"category_scores_gemma":[0.005743863,0.0008835917,0.001117604,0.009494417,0.0004613217,0.002329189,0.002464535,0.002052788,0.2215091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001597248,"about_ca_system_score_gemma":0.002265858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02121796,"about_ca_topic_score_gemma":0.03637614,"domain_scores_codex":[0.9990044,0.0001406175,0.0001207052,0.0003490777,0.0002187197,0.0001663521],"domain_scores_gemma":[0.9976251,0.0006748539,0.0002260221,0.0006290462,0.0005663038,0.0002786245],"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":[0.0000264513,0.00001131746,0.0003534106,0.0004756263,0.00001344007,0.0000135724,0.00002315296,0.0001276195,0.0001071184,0.0003901234,0.9971163,0.001341758],"study_design_scores_gemma":[0.00006513554,0.000007252414,0.001634054,0.0001711316,0.00001244913,0.00003327029,0.00006985952,0.0001486687,0.0001747212,0.0007952213,0.996872,0.00001633936],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004325817,0.00002557242,0.00004771923,0.00003526473,0.00001226929,0.000005167044,0.9987784,0.0003626264,0.0006897224],"genre_scores_gemma":[0.0001601921,0.00003038233,0.0001950826,0.00004300917,0.000003442761,0.00004099399,0.9989002,0.000145928,0.0004807574],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8421159,"threshold_uncertainty_score":0.5281748,"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."}}