{"id":"W6906064928","doi":"10.15468/dl.z7x9t7","title":"Occurrence Download","year":2021,"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; Extant taxon; Natural history; Matching (statistics); Natural (archaeology); Range (aeronautics)","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":[0.001204901,0.002107136,0.001900306,0.006491843,0.001129101,0.003313347,0.003083032,0.002036903,0.2309855],"category_scores_gemma":[0.008028735,0.001135307,0.001490809,0.01271168,0.0004569229,0.003033292,0.0030758,0.002000568,0.3093877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001669215,"about_ca_system_score_gemma":0.002488477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02034223,"about_ca_topic_score_gemma":0.03027302,"domain_scores_codex":[0.9986791,0.0001570325,0.0001898613,0.0004854413,0.0002749175,0.0002136079],"domain_scores_gemma":[0.9966915,0.0009236253,0.0002859881,0.0008698293,0.0008986062,0.0003304725],"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":[0.00003265091,0.000009052973,0.0003696245,0.0006367579,0.00001536694,0.00001396548,0.00002384717,0.00009910989,0.000099301,0.0003413773,0.9965858,0.001773099],"study_design_scores_gemma":[0.0000681733,0.000007940029,0.001627697,0.0002111801,0.00001462753,0.00003258571,0.0000781686,0.0001238448,0.0001642337,0.0007504879,0.9969031,0.00001782273],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000281601,0.00002185163,0.00004210402,0.00002792759,0.00001103218,0.000005370884,0.9988826,0.0004023075,0.000578601],"genre_scores_gemma":[0.0001374422,0.00003706388,0.0002325909,0.00004476961,0.000004190823,0.00005517038,0.9987324,0.0002287756,0.0005276007],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7690145,"threshold_uncertainty_score":0.7727236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}