{"id":"W6887274805","doi":"10.15468/dl.uz2euu","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); Alien; State (computer science)","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":[0.0009873374,0.001956459,0.001529844,0.005085409,0.001007915,0.002563893,0.00272953,0.002070061,0.1689548],"category_scores_gemma":[0.005964042,0.0008888948,0.001218444,0.009515701,0.0004592074,0.002298792,0.002578285,0.001997878,0.2354259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001569065,"about_ca_system_score_gemma":0.002311369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02166025,"about_ca_topic_score_gemma":0.03533618,"domain_scores_codex":[0.9990203,0.0001371777,0.000117705,0.0003451364,0.0002122219,0.0001674934],"domain_scores_gemma":[0.9975411,0.0007180274,0.0002184695,0.0006503894,0.0005945304,0.0002774723],"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":[0.00002528362,0.00001100587,0.0003807306,0.0005047788,0.00001320134,0.00001464991,0.00002413685,0.0001239375,0.0001121567,0.0003565157,0.9969951,0.001438682],"study_design_scores_gemma":[0.00006441581,0.00000839746,0.001810136,0.000197235,0.0000134468,0.00003571377,0.00008045397,0.0001525729,0.0001762454,0.0007377882,0.9967065,0.00001698707],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004426001,0.00002829481,0.0000459123,0.00003813148,0.00001343798,0.000005716791,0.9987875,0.0003937302,0.0006429502],"genre_scores_gemma":[0.0001678178,0.00003520091,0.0002116265,0.00004925099,0.000004081545,0.00004839733,0.9988104,0.0001614734,0.0005117437],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8310452,"threshold_uncertainty_score":0.5652101,"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."}}