{"id":"W6962266242","doi":"10.15468/dl.wfdvkc","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":[0.0009755359,0.001974988,0.001539154,0.004660212,0.001025284,0.002564736,0.002737682,0.002179147,0.1682026],"category_scores_gemma":[0.006339828,0.0009175898,0.001301011,0.008589756,0.000457061,0.002414799,0.002546974,0.002051202,0.2289322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001585794,"about_ca_system_score_gemma":0.002325304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02331535,"about_ca_topic_score_gemma":0.03684381,"domain_scores_codex":[0.9989941,0.0001426465,0.0001202742,0.0003633699,0.000214627,0.0001650827],"domain_scores_gemma":[0.9974077,0.0007871275,0.0002108775,0.0006723602,0.0006377454,0.0002840336],"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":[0.00002742097,0.00001170373,0.0003693384,0.0004930416,0.00001298595,0.00001444598,0.00002281162,0.0001227272,0.0001025872,0.00032057,0.9971521,0.001350228],"study_design_scores_gemma":[0.00007837191,0.000009668852,0.001912104,0.000213621,0.00001484833,0.00003738104,0.00008740326,0.0001943013,0.0001889185,0.0008581092,0.9963858,0.00001952443],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004463235,0.00002732013,0.00004663778,0.00004569601,0.00001450123,0.000006491719,0.9987155,0.0004508501,0.000648284],"genre_scores_gemma":[0.0001781362,0.00003418411,0.0002220703,0.00005682697,0.000004110726,0.00005124267,0.9987638,0.0001737866,0.0005159414],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8317974,"threshold_uncertainty_score":0.5626937,"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."}}