{"id":"W6905986370","doi":"10.15468/dl.mtgxb6","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); State (computer science); Identification (biology)","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":[0.0009626738,0.001981959,0.001475375,0.004741728,0.0009949665,0.002383577,0.002892498,0.002186588,0.1515031],"category_scores_gemma":[0.005552936,0.0008918037,0.001115515,0.00895774,0.0004662781,0.002354262,0.002526559,0.002061067,0.2036956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001601352,"about_ca_system_score_gemma":0.002226977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02145587,"about_ca_topic_score_gemma":0.03839881,"domain_scores_codex":[0.9990411,0.0001373588,0.0001142918,0.00033775,0.0002091594,0.0001602555],"domain_scores_gemma":[0.9976225,0.0006668622,0.0002237875,0.000649448,0.0005591959,0.0002781621],"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":[0.00002714327,0.00001254266,0.0003729513,0.0004872694,0.00001360095,0.0000149163,0.00002404635,0.000143842,0.0001134718,0.000395206,0.9970216,0.001373297],"study_design_scores_gemma":[0.00007205489,0.000008040984,0.001740114,0.0001736878,0.00001270441,0.00003766798,0.00007651617,0.000175871,0.0001841526,0.0008303257,0.9966714,0.00001749008],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004943185,0.00002683916,0.00004997091,0.00003937189,0.00001322123,0.000005577213,0.9987205,0.0004060645,0.0006889987],"genre_scores_gemma":[0.0001723909,0.00002971541,0.0002199849,0.00004424464,0.000003362844,0.00004180538,0.9988845,0.0001440112,0.0004600087],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8484969,"threshold_uncertainty_score":0.5068283,"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."}}