{"id":"W6943723799","doi":"10.15468/dl.rxb2m6","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","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":[0.0009496463,0.001937038,0.001556023,0.004691594,0.001030592,0.002596803,0.002744446,0.002159646,0.1706177],"category_scores_gemma":[0.006264857,0.0008842605,0.001253721,0.008886579,0.0004473097,0.002517973,0.002589602,0.002009222,0.2409823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001556906,"about_ca_system_score_gemma":0.002289376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02110575,"about_ca_topic_score_gemma":0.0350812,"domain_scores_codex":[0.9989821,0.0001456096,0.0001218095,0.00036664,0.0002184144,0.0001653283],"domain_scores_gemma":[0.9974203,0.0007626587,0.0002132457,0.0006758894,0.0006535205,0.0002744678],"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":[0.00002622257,0.00001113902,0.0003529715,0.0004935366,0.00001220477,0.00001388469,0.00002160411,0.0001122709,0.0000996987,0.0003257188,0.9971688,0.001361894],"study_design_scores_gemma":[0.0000694979,0.000008783931,0.001714729,0.0002010778,0.00001313823,0.00003471157,0.00007650459,0.0001688198,0.0001772699,0.000824486,0.9966935,0.00001751805],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004330101,0.00002923808,0.0000468141,0.00004384942,0.00001444844,0.000006159647,0.9986801,0.0004367447,0.0006994455],"genre_scores_gemma":[0.0001738207,0.00003615872,0.0002222773,0.00005579495,0.000004443322,0.00004981624,0.9987419,0.0001742666,0.0005416225],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8293823,"threshold_uncertainty_score":0.5707731,"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."}}