{"id":"W6924461387","doi":"10.15468/dl.me9d38","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; Alien; Range (aeronautics)","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":[0.0008833294,0.001970291,0.001469045,0.00468449,0.000930512,0.002370032,0.002529982,0.00184753,0.1626001],"category_scores_gemma":[0.005716283,0.0008624791,0.001178561,0.00921612,0.0004260137,0.002112014,0.002464825,0.001735272,0.2209456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001381765,"about_ca_system_score_gemma":0.00215267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0192413,"about_ca_topic_score_gemma":0.0313962,"domain_scores_codex":[0.9990169,0.0001324235,0.0001254861,0.0003576566,0.0001992738,0.0001682398],"domain_scores_gemma":[0.9977356,0.0006358289,0.0002166064,0.0005825165,0.0005663153,0.0002631524],"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":[0.00003244763,0.00001169032,0.0004289215,0.000523877,0.00001385133,0.00001398938,0.00002048596,0.0001317144,0.0001205103,0.0003357889,0.9968379,0.001528943],"study_design_scores_gemma":[0.00008002437,0.00001130939,0.002066258,0.000192524,0.00001523775,0.00003758275,0.00007099447,0.0001682695,0.0001976786,0.0007880414,0.9963536,0.00001851627],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004873633,0.00002632292,0.00004008842,0.00003282811,0.00001304525,0.000005094732,0.9988534,0.0003636288,0.0006167666],"genre_scores_gemma":[0.0001686901,0.0000329197,0.0001872668,0.00004570482,0.000003864353,0.00004080587,0.9989014,0.0001382614,0.0004810573],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8373998,"threshold_uncertainty_score":0.5439516,"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."}}