{"id":"W6942959784","doi":"10.15468/dl.kkp585","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":[0.001020492,0.001924324,0.001543347,0.004854413,0.0009993084,0.002547131,0.002662214,0.002106119,0.156209],"category_scores_gemma":[0.006023519,0.0008785027,0.001235913,0.009235516,0.0004494658,0.002244224,0.002528125,0.00192132,0.2194567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001553004,"about_ca_system_score_gemma":0.002328862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02121997,"about_ca_topic_score_gemma":0.03362394,"domain_scores_codex":[0.9989895,0.0001434102,0.0001272665,0.0003507048,0.0002206201,0.0001684081],"domain_scores_gemma":[0.9975146,0.0007456542,0.0002191258,0.0006350976,0.0006150078,0.0002704929],"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":[0.0000292173,0.00001275666,0.0004216057,0.000572829,0.00001486683,0.00001653048,0.00002444353,0.0001269504,0.0001261857,0.0003584915,0.9967871,0.001509028],"study_design_scores_gemma":[0.00007544941,0.000009505259,0.002042679,0.0002159265,0.00001532561,0.00003918335,0.0000842257,0.0001631583,0.0002029699,0.0007469648,0.9963865,0.00001813258],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004757674,0.0000292957,0.00004412627,0.00004038317,0.00001338322,0.000006127672,0.9988016,0.0003834664,0.0006339919],"genre_scores_gemma":[0.0001719302,0.00003487352,0.0001989448,0.00004928128,0.000004004636,0.0000473858,0.9988913,0.0001385622,0.0004637887],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.843791,"threshold_uncertainty_score":0.522571,"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."}}