{"id":"W6962293911","doi":"10.15468/dl.q352vq","title":"Occurrence Download","year":2022,"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); Species name","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":[0.001101024,0.002045822,0.00167343,0.005257869,0.001044763,0.002769527,0.002938224,0.002143304,0.1653822],"category_scores_gemma":[0.006520658,0.000988328,0.001167672,0.0101342,0.0004628969,0.002444369,0.002572748,0.002079408,0.2363771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001693224,"about_ca_system_score_gemma":0.00244021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02252571,"about_ca_topic_score_gemma":0.03607706,"domain_scores_codex":[0.9988253,0.0001585211,0.0001556606,0.0004123583,0.0002634328,0.000184866],"domain_scores_gemma":[0.9972917,0.0007805196,0.0002580452,0.0007010248,0.0006607615,0.0003078417],"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":[0.00002682806,0.00001027954,0.0003221647,0.0004839308,0.00001367623,0.00001355725,0.00002093246,0.0001089938,0.000102518,0.0003444469,0.9973131,0.001239603],"study_design_scores_gemma":[0.00007052186,0.000007620401,0.001762317,0.0001915912,0.00001418036,0.00003700323,0.00006954873,0.0001468887,0.0001807584,0.0007260098,0.9967758,0.0000178416],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003443423,0.00002451835,0.0000424327,0.00003323819,0.00001092281,0.000004588723,0.998931,0.0003448762,0.0005740295],"genre_scores_gemma":[0.0001463527,0.00003186105,0.000179849,0.00004217649,0.000003322136,0.00003879445,0.9989667,0.0001495198,0.0004415137],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8346178,"threshold_uncertainty_score":0.5532587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}