{"id":"W6887276935","doi":"10.15468/dl.x44swd","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); Set (abstract data type)","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":[0.001113912,0.001992949,0.001650517,0.005088455,0.001067711,0.002713869,0.002940047,0.002033259,0.1721134],"category_scores_gemma":[0.00648308,0.0009777597,0.00114024,0.01016954,0.0004556331,0.002456144,0.002651207,0.002111051,0.2327615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001691188,"about_ca_system_score_gemma":0.002483998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02283655,"about_ca_topic_score_gemma":0.03749437,"domain_scores_codex":[0.9988857,0.0001504989,0.0001422399,0.0003790588,0.0002602824,0.0001821059],"domain_scores_gemma":[0.9973589,0.0007476182,0.0002473586,0.0006935207,0.0006524655,0.0003001915],"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":[0.00002656544,0.00001020601,0.0003264259,0.0004821334,0.0000136838,0.00001401109,0.00002352787,0.0001111981,0.0001077723,0.0003939987,0.9971915,0.001299036],"study_design_scores_gemma":[0.00006278801,0.000006376866,0.00159177,0.0001735618,0.00001287818,0.00003323994,0.00006653204,0.000126939,0.0001768421,0.0007509293,0.9969811,0.00001697477],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003361681,0.00002298601,0.00004729526,0.00003323761,0.00001094936,0.000004799447,0.9988071,0.0003702535,0.0006698619],"genre_scores_gemma":[0.0001430394,0.00003063495,0.0001987025,0.00004135106,0.000003105897,0.00004053088,0.9989029,0.000171206,0.0004684043],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8278866,"threshold_uncertainty_score":0.5757766,"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."}}