{"id":"W4395331451","doi":"10.15468/dl.0sgfd5","title":"Occurrence Download","year":2019,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Satellite Image Processing and Photogrammetry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; Geography; World Wide Web","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":[0.0008662224,0.002194434,0.001666544,0.005163066,0.001005301,0.002413426,0.002965515,0.002129928,0.1336279],"category_scores_gemma":[0.004799381,0.0008534436,0.001186071,0.009192491,0.0004455167,0.002264822,0.002488103,0.001988309,0.2203223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001536916,"about_ca_system_score_gemma":0.002063708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02096126,"about_ca_topic_score_gemma":0.03616029,"domain_scores_codex":[0.9990228,0.0001245796,0.0001327608,0.0003272316,0.0002317478,0.0001608579],"domain_scores_gemma":[0.9981073,0.00046085,0.0001679799,0.0005153138,0.000527722,0.0002208103],"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":[0.00003127629,0.00001360224,0.0003258989,0.0004928659,0.00001484256,0.00001852377,0.00002204496,0.0001412091,0.0001369538,0.0003671881,0.9967245,0.001710914],"study_design_scores_gemma":[0.00006720994,0.000007657086,0.001535183,0.0001587109,0.00001271724,0.00004195087,0.00006598508,0.0001867092,0.000213311,0.000682521,0.9970114,0.00001666761],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005289395,0.00003354986,0.00005987785,0.00003340351,0.00001386852,0.0000064314,0.99858,0.0005113854,0.0007086669],"genre_scores_gemma":[0.0001441464,0.00003091804,0.0002056254,0.00003342737,0.000003029143,0.00003346093,0.9990152,0.0001377051,0.0003963218],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8663721,"threshold_uncertainty_score":0.4470299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01444224130625211,"score_gpt":0.2132964533525142,"score_spread":0.1988542120462621,"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."}}