{"id":"W6887197214","doi":"10.15468/dl.pyrdgu","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); Alien; The Internet","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":[0.0009737752,0.001940905,0.001559678,0.004978649,0.0009980282,0.002536754,0.002704622,0.002108202,0.1648007],"category_scores_gemma":[0.006257962,0.0008824836,0.001247848,0.00941351,0.0004438685,0.002302188,0.002520432,0.001949124,0.226063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001555922,"about_ca_system_score_gemma":0.002259816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02073811,"about_ca_topic_score_gemma":0.0331649,"domain_scores_codex":[0.9990012,0.0001406996,0.0001233465,0.0003561017,0.0002142128,0.0001643699],"domain_scores_gemma":[0.9975165,0.0007535532,0.0002161029,0.0006327205,0.0006084929,0.0002726596],"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":[0.00002733105,0.0000113089,0.0003921316,0.0005391506,0.00001475069,0.00001491315,0.00002236751,0.0001366044,0.0001110661,0.0003373639,0.9969007,0.001492355],"study_design_scores_gemma":[0.00007133053,0.000009412599,0.00191366,0.0002158783,0.00001534345,0.00003789907,0.00008035348,0.0001813007,0.000186855,0.0007816249,0.9964882,0.00001814196],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004389799,0.00003064036,0.00004581582,0.00003986759,0.00001378134,0.000005718352,0.9988353,0.0003906281,0.0005944059],"genre_scores_gemma":[0.0001710926,0.0000368097,0.0002024856,0.00004958798,0.000004158334,0.00004579731,0.998866,0.0001478492,0.0004762092],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8351993,"threshold_uncertainty_score":0.5513133,"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."}}