{"id":"W6962329019","doi":"10.15468/dl.k25v7b","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":[0.0009973415,0.001975331,0.001579489,0.005015174,0.001016826,0.002609026,0.002741285,0.002188127,0.1546542],"category_scores_gemma":[0.006219026,0.0008896302,0.00128175,0.009003501,0.0004435627,0.002390416,0.00257525,0.002017124,0.2158281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001569396,"about_ca_system_score_gemma":0.002272333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02108691,"about_ca_topic_score_gemma":0.03346577,"domain_scores_codex":[0.9989801,0.0001428176,0.0001249586,0.000358453,0.0002243458,0.0001693294],"domain_scores_gemma":[0.9974591,0.0007688989,0.0002180945,0.0006524648,0.0006222542,0.0002792847],"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":[0.00002811708,0.00001234971,0.0004244797,0.0005731971,0.00001494073,0.00001647652,0.00002341825,0.0001299762,0.0001186516,0.0003377431,0.9968353,0.00148533],"study_design_scores_gemma":[0.00007303229,0.000009833835,0.002095655,0.0002277008,0.00001578758,0.00004190026,0.00008526288,0.0001835296,0.0001994476,0.0007825061,0.9962664,0.00001886909],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004814315,0.00003192128,0.00004666941,0.00004216455,0.00001418191,0.000006175524,0.9987545,0.0004317358,0.0006244798],"genre_scores_gemma":[0.0001813435,0.00003732811,0.000209423,0.00005187613,0.000004227633,0.00004823684,0.9988475,0.0001503698,0.0004697283],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8453457,"threshold_uncertainty_score":0.51737,"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."}}