{"id":"W6943227594","doi":"10.15468/dl.mg8m7f","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); Data set","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":[0.001154748,0.002012866,0.001647089,0.005428269,0.001070508,0.002768798,0.002961905,0.00208568,0.1691795],"category_scores_gemma":[0.006564585,0.001003273,0.001156584,0.01052378,0.0004834277,0.002399934,0.002675462,0.002096693,0.2311505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001712089,"about_ca_system_score_gemma":0.002491462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02266869,"about_ca_topic_score_gemma":0.03633468,"domain_scores_codex":[0.9988417,0.0001604141,0.0001552821,0.0004006771,0.0002575315,0.0001844309],"domain_scores_gemma":[0.997177,0.0008263012,0.0002680043,0.0007355635,0.0006893518,0.0003036759],"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":[0.00002729878,0.00001082003,0.0003625418,0.0005417186,0.00001484007,0.00001549867,0.00002575628,0.000112471,0.0001139266,0.0003947282,0.9970875,0.001292824],"study_design_scores_gemma":[0.00006715592,0.000006873429,0.001736749,0.0001903299,0.00001417287,0.00003679785,0.00007544627,0.0001259215,0.0001773991,0.0007341611,0.9968175,0.00001756023],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003448594,0.00002237306,0.00004425318,0.00003165613,0.000010357,0.000004808104,0.998921,0.000332259,0.0005987812],"genre_scores_gemma":[0.0001477256,0.00003093317,0.0001932962,0.00004062716,0.000003164688,0.00004228846,0.9989458,0.000155943,0.0004402455],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8308206,"threshold_uncertainty_score":0.5659617,"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."}}