{"id":"W6962224781","doi":"10.15468/dl.rpwwd9","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; Troglodytes; Matching (statistics); Range (aeronautics); UniProt","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":[0.0009603708,0.001917067,0.001532416,0.004836136,0.001027487,0.002417322,0.002805598,0.002103301,0.1544641],"category_scores_gemma":[0.006039402,0.0008880761,0.001147582,0.009199547,0.0004584967,0.002319624,0.002595303,0.001991097,0.2085812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001565545,"about_ca_system_score_gemma":0.00228824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01993818,"about_ca_topic_score_gemma":0.03512303,"domain_scores_codex":[0.9990212,0.0001321949,0.0001238566,0.0003415111,0.0002169058,0.0001643705],"domain_scores_gemma":[0.9975501,0.0007090194,0.0002309881,0.000638028,0.0005962397,0.0002756402],"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":[0.00002825614,0.00001205477,0.0003929184,0.0005707187,0.00001420573,0.00001578521,0.00002540649,0.0001323024,0.0001204673,0.0003867923,0.9968003,0.001500694],"study_design_scores_gemma":[0.00006743975,0.000008219143,0.00172268,0.0001962061,0.00001315367,0.00003576602,0.00007580227,0.0001433595,0.0001815479,0.0007331393,0.9968063,0.00001642301],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004763197,0.00002907741,0.00004717875,0.00003799943,0.00001366509,0.000005840649,0.998763,0.0003844862,0.0006711386],"genre_scores_gemma":[0.0001704348,0.00003481437,0.0002139349,0.0000464933,0.000003613022,0.00004633687,0.9988484,0.0001503748,0.0004854928],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8455359,"threshold_uncertainty_score":0.5167338,"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."}}