{"id":"W6962400821","doi":"10.15468/dl.k5xr3g","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; Matching (statistics); Range (aeronautics); 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":[0.001100218,0.001974485,0.001658743,0.005001539,0.001066443,0.002603808,0.003122528,0.002153909,0.1455979],"category_scores_gemma":[0.006028077,0.0009624803,0.001214175,0.009956074,0.0004722848,0.002335373,0.002530113,0.002220555,0.2052078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001715126,"about_ca_system_score_gemma":0.002442533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0212315,"about_ca_topic_score_gemma":0.03480417,"domain_scores_codex":[0.998889,0.0001503559,0.0001385157,0.0003883617,0.0002529577,0.0001808375],"domain_scores_gemma":[0.9974523,0.0007065076,0.0002326181,0.0007154816,0.0005978341,0.0002952257],"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":[0.00002954098,0.00001220656,0.0003772154,0.0004914303,0.00001488992,0.00001484716,0.00002399634,0.0001321078,0.0001225348,0.0004055172,0.9969741,0.00140158],"study_design_scores_gemma":[0.00006991765,0.000007648871,0.001769015,0.0001677527,0.00001427404,0.00003602328,0.00007048195,0.0001542771,0.0002052653,0.0007198073,0.9967686,0.00001689],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004389552,0.00002518043,0.00004475095,0.00003519756,0.00001115485,0.000005098129,0.9988295,0.0003802778,0.0006247925],"genre_scores_gemma":[0.0001448171,0.00002751092,0.0001848814,0.00003650142,0.000002668669,0.00003775983,0.9990053,0.0001364473,0.0004242117],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8544021,"threshold_uncertainty_score":0.4870736,"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."}}