{"id":"W6962464746","doi":"10.15468/dl.wqpaj9","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); Data set","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":[0.0009990589,0.002022041,0.001609063,0.004839973,0.001033849,0.002690525,0.002814143,0.00215577,0.1721727],"category_scores_gemma":[0.00594527,0.0009412945,0.001175885,0.009297499,0.0004484092,0.002624356,0.002696566,0.002106152,0.2386951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001569553,"about_ca_system_score_gemma":0.002277296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01948208,"about_ca_topic_score_gemma":0.03515203,"domain_scores_codex":[0.9989244,0.0001508095,0.0001287279,0.0003891017,0.0002322362,0.0001747278],"domain_scores_gemma":[0.9973825,0.0007380461,0.0002367083,0.0007223215,0.0006157068,0.0003047267],"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":[0.00002590932,0.00001066005,0.0003247883,0.0004588544,0.00001270006,0.00001320124,0.00002150674,0.0001097667,0.0001006581,0.0003737699,0.9973423,0.001205963],"study_design_scores_gemma":[0.00006654061,0.000007392788,0.001590806,0.000167337,0.00001242111,0.00003330023,0.00006691084,0.0001393509,0.0001698487,0.0008493886,0.9968795,0.00001725856],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003778953,0.0000238705,0.00004604874,0.00003706332,0.00001188614,0.000004987988,0.9987963,0.0003750967,0.0006669006],"genre_scores_gemma":[0.0001533377,0.00003033408,0.0002046932,0.00004901136,0.000003579732,0.00004136075,0.9988311,0.0001627931,0.0005237644],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8278273,"threshold_uncertainty_score":0.5759752,"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."}}