{"id":"W6887227797","doi":"10.15468/dl.tccxna","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":"Matching (statistics); Download; Range (aeronautics); Alien; Set (abstract data type)","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":[0.0009012359,0.002038242,0.001479715,0.004677047,0.0009585205,0.002369188,0.002653119,0.001882203,0.1594364],"category_scores_gemma":[0.005617713,0.0008804686,0.001198106,0.009325312,0.0004406701,0.002140351,0.002517898,0.001769563,0.2216697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001411259,"about_ca_system_score_gemma":0.002189547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02008029,"about_ca_topic_score_gemma":0.0331466,"domain_scores_codex":[0.9990278,0.0001308799,0.0001204462,0.0003522757,0.0002016008,0.0001669639],"domain_scores_gemma":[0.9977824,0.0006083256,0.0002081787,0.000583772,0.0005571244,0.0002602077],"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":[0.0000318474,0.00001185887,0.0004010113,0.0005093493,0.00001365272,0.00001415261,0.00002127991,0.0001314273,0.0001267772,0.0003442966,0.9968641,0.001530263],"study_design_scores_gemma":[0.00007658484,0.00001077118,0.001923843,0.0001795904,0.00001435902,0.00003700975,0.00006967943,0.0001574455,0.0002022442,0.0007713407,0.9965389,0.00001832586],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005030814,0.00002709891,0.00004308615,0.00003325273,0.00001326214,0.000005319087,0.9987707,0.0003988781,0.0006580416],"genre_scores_gemma":[0.0001631635,0.00003218001,0.0001921409,0.00004440617,0.000003662852,0.00004080169,0.9988971,0.0001477301,0.0004787623],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8405637,"threshold_uncertainty_score":0.5333678,"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."}}