{"id":"W6887295497","doi":"10.15468/dl.wtkmz6","title":"Occurrence Download","year":2023,"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); Alien; Chen; 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":[0.001067415,0.001834099,0.001590332,0.005127843,0.0009869947,0.002592789,0.002679,0.002069648,0.170405],"category_scores_gemma":[0.006498772,0.0009011878,0.001208239,0.01018581,0.0004541494,0.002231549,0.002504367,0.001974248,0.2196298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001634895,"about_ca_system_score_gemma":0.00243696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02161783,"about_ca_topic_score_gemma":0.03256761,"domain_scores_codex":[0.9989157,0.0001527619,0.0001421854,0.0003745477,0.0002345676,0.0001802897],"domain_scores_gemma":[0.9972653,0.0008589182,0.0002522132,0.0006776502,0.0006513449,0.0002945225],"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":[0.00003091236,0.00001136961,0.0003851845,0.0006044169,0.00001507642,0.00001537019,0.0000242447,0.0001315147,0.0001253872,0.000397527,0.9967971,0.001461885],"study_design_scores_gemma":[0.00007336797,0.000008782733,0.001861567,0.0002225675,0.00001521807,0.00003532343,0.00007644822,0.0001363949,0.0001892772,0.0007640325,0.9965995,0.00001760226],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003693695,0.00002419678,0.00003816288,0.00003370381,0.00001075989,0.000005085036,0.9989827,0.0003004848,0.000567995],"genre_scores_gemma":[0.0001600477,0.00003522323,0.0001878693,0.00004689124,0.000003270411,0.00004565685,0.9989223,0.0001386612,0.0004600972],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.829595,"threshold_uncertainty_score":0.5700614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}