{"id":"W6906036550","doi":"10.15468/dl.zbwazg","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":[0.00100189,0.001998679,0.001629807,0.004976552,0.001004348,0.002667146,0.002782494,0.002174504,0.176666],"category_scores_gemma":[0.006665802,0.0009231934,0.001266848,0.009473933,0.0004482588,0.002415668,0.002606584,0.002024922,0.2419927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001631403,"about_ca_system_score_gemma":0.00236599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02265809,"about_ca_topic_score_gemma":0.03383037,"domain_scores_codex":[0.9989593,0.0001437122,0.0001290938,0.0003712661,0.000222976,0.0001736695],"domain_scores_gemma":[0.997286,0.0008317768,0.0002327526,0.0007025499,0.0006500931,0.0002968749],"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":[0.00002593645,0.0000104583,0.0003392161,0.0004865805,0.0000127479,0.00001305016,0.00002039944,0.0001187749,0.0000925784,0.0003176138,0.9972438,0.001318964],"study_design_scores_gemma":[0.00007849773,0.000009082658,0.001812229,0.0002123036,0.0000148317,0.00003379225,0.00007697813,0.0001839226,0.0001800725,0.0008220642,0.996558,0.00001814702],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003960182,0.00002657105,0.00004263779,0.00004095653,0.00001284531,0.00000568845,0.9988347,0.0004098616,0.0005872349],"genre_scores_gemma":[0.000165949,0.00003563643,0.0001982597,0.00005185046,0.000004190159,0.00004968983,0.9988293,0.0001637558,0.0005013886],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.823334,"threshold_uncertainty_score":0.5910068,"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."}}