{"id":"W6962430293","doi":"10.15468/dl.tanas6","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; Ornithology; Wildlife; Vertebrate; Matching (statistics); 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":[0.001010407,0.002201755,0.00182258,0.006583213,0.001034674,0.002828126,0.003041991,0.00193115,0.2235726],"category_scores_gemma":[0.006608577,0.001090333,0.001391188,0.01277606,0.0004708297,0.002825839,0.002871612,0.002045701,0.302568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001867372,"about_ca_system_score_gemma":0.00246566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02782616,"about_ca_topic_score_gemma":0.03993462,"domain_scores_codex":[0.9989152,0.0001255202,0.0001479761,0.0003690986,0.0002561042,0.0001860566],"domain_scores_gemma":[0.997062,0.000761846,0.0002485824,0.000812733,0.0007959572,0.0003188],"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":[0.00002957007,0.000009208958,0.0003318097,0.0005666285,0.00001313913,0.00001488379,0.00002497372,0.000109753,0.00009878296,0.0002998749,0.9966366,0.00186469],"study_design_scores_gemma":[0.0000603628,0.00000729141,0.001727967,0.0001734763,0.0000117308,0.0000341441,0.00008019041,0.0001250613,0.0001571734,0.0005284014,0.9970784,0.00001571366],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003137702,0.00001980527,0.00003846634,0.0000264242,0.000009963988,0.000005241062,0.9988342,0.0004118454,0.0006226974],"genre_scores_gemma":[0.0001247377,0.00003143084,0.0002051823,0.00003237149,0.000003230323,0.00004462344,0.9988093,0.0001885032,0.0005605882],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7764274,"threshold_uncertainty_score":0.7479247,"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."}}