{"id":"W6962055032","doi":"10.15468/dl.wu2aqg","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); Hystrix","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":[0.001053904,0.002079507,0.001727988,0.005212341,0.001079301,0.002749468,0.003045426,0.0021285,0.1558269],"category_scores_gemma":[0.006149488,0.0009742773,0.001169192,0.01060912,0.0004745217,0.002370053,0.002721843,0.002123499,0.220223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001778835,"about_ca_system_score_gemma":0.002730936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02726864,"about_ca_topic_score_gemma":0.04479843,"domain_scores_codex":[0.9988773,0.0001460614,0.0001360258,0.0003939172,0.0002598118,0.0001867996],"domain_scores_gemma":[0.9975183,0.000674108,0.0002354522,0.0006310686,0.0006417637,0.0002993061],"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":[0.00002818929,0.00001053802,0.0003381473,0.0005389218,0.0000147174,0.00001417816,0.0000242867,0.0001118169,0.0001183535,0.0004030602,0.9971344,0.001263249],"study_design_scores_gemma":[0.00006881571,0.000006687857,0.001642382,0.0001808316,0.00001361157,0.00003312483,0.00006876243,0.0001229616,0.0001911258,0.0007343213,0.99692,0.00001731272],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003512386,0.00002539245,0.00004120148,0.00003142536,0.000009818263,0.000004651684,0.9988962,0.0003470559,0.0006090365],"genre_scores_gemma":[0.000144184,0.00003105576,0.0001780846,0.00004018124,0.000002805144,0.00003776666,0.9989688,0.0001491891,0.0004479226],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8441731,"threshold_uncertainty_score":0.5212929,"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."}}