{"id":"W6906017626","doi":"10.15468/dl.usnzkm","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); Alien; 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":[0.001022125,0.001991471,0.001637579,0.00498488,0.0009918384,0.002689634,0.002713221,0.002117318,0.1653523],"category_scores_gemma":[0.00658902,0.0008938353,0.001284553,0.009385308,0.0004372696,0.002360496,0.002530833,0.001912732,0.2356567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001505728,"about_ca_system_score_gemma":0.002227888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02026485,"about_ca_topic_score_gemma":0.03053289,"domain_scores_codex":[0.9989618,0.0001458557,0.0001303869,0.0003699272,0.0002230804,0.0001689547],"domain_scores_gemma":[0.9973714,0.0007966352,0.0002285831,0.0006742353,0.0006528817,0.0002761573],"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":[0.00002831628,0.00001137607,0.0004045336,0.0005500301,0.00001502897,0.00001496768,0.00002148397,0.000125416,0.0001032587,0.0003191755,0.9969606,0.001445678],"study_design_scores_gemma":[0.0000777495,0.00001019276,0.002078138,0.0002283477,0.00001672465,0.00003960738,0.00008197954,0.0001855381,0.0001934745,0.0008016535,0.9962674,0.0000191986],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000431125,0.00003005418,0.0000422478,0.00003975458,0.0000133402,0.000005701821,0.9988194,0.0004057632,0.0006006178],"genre_scores_gemma":[0.000172611,0.00003702398,0.0001962061,0.00004943798,0.000004350096,0.00004698431,0.9988673,0.0001553329,0.0004707969],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8346477,"threshold_uncertainty_score":0.5531585,"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."}}