{"id":"W6924627555","doi":"10.15468/dl.mbq92n","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); Software","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":[0.00104304,0.002047724,0.001670362,0.005129653,0.001041165,0.00271642,0.002880737,0.002192725,0.160499],"category_scores_gemma":[0.00647701,0.0009451016,0.001228172,0.009941425,0.0004690143,0.00245478,0.002634656,0.002104194,0.2207617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001574029,"about_ca_system_score_gemma":0.002460327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02179708,"about_ca_topic_score_gemma":0.03724338,"domain_scores_codex":[0.998876,0.0001614971,0.0001463219,0.0003968423,0.0002379929,0.0001812042],"domain_scores_gemma":[0.9973063,0.0008000518,0.0002456799,0.0007033249,0.000635113,0.000309518],"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":[0.00003051672,0.00001146446,0.0003621156,0.0005501339,0.00001534801,0.00001570947,0.00002333857,0.0001231697,0.0001074943,0.0003829959,0.9971281,0.001249802],"study_design_scores_gemma":[0.00007777778,0.000008232448,0.001764827,0.0001933478,0.00001485069,0.00003763786,0.00007275513,0.0001447033,0.0001736027,0.0008274266,0.9966657,0.00001917081],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003755873,0.00002546887,0.00004232808,0.0000346167,0.0000110385,0.000005129918,0.9989067,0.0003510047,0.0005861887],"genre_scores_gemma":[0.0001560552,0.00003214745,0.0001882025,0.00004671671,0.000003405661,0.00004174298,0.9989356,0.0001486758,0.0004474692],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.839501,"threshold_uncertainty_score":0.5369227,"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."}}