{"id":"W6906245186","doi":"10.15468/dl.yt2bhr","title":"Occurrence Download","year":2019,"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); The Internet","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":[0.001036377,0.00195279,0.001544649,0.005632425,0.0009444481,0.002614371,0.002754959,0.001826865,0.1737774],"category_scores_gemma":[0.006030786,0.0009167595,0.001240587,0.01136844,0.000427247,0.002418542,0.002740248,0.001966173,0.2453321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001737032,"about_ca_system_score_gemma":0.002727163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02638951,"about_ca_topic_score_gemma":0.04310672,"domain_scores_codex":[0.9988443,0.0001538275,0.0001556986,0.0003910669,0.0002591788,0.0001958707],"domain_scores_gemma":[0.997144,0.0007360395,0.0002658969,0.0007345683,0.0007874975,0.0003319755],"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":[0.00002901625,0.000008937714,0.0003262227,0.0005373515,0.00001497842,0.00001328922,0.00002108635,0.0001061566,0.0001168198,0.0003896141,0.9970158,0.001420777],"study_design_scores_gemma":[0.00005664312,0.000006405399,0.001620415,0.0001794873,0.00001278293,0.00002805319,0.0000591362,0.0001013032,0.0001679569,0.0007067404,0.9970451,0.00001596138],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003042013,0.00002362153,0.00003831529,0.00003039296,0.00001032108,0.000004907379,0.9989201,0.0003139641,0.0006280139],"genre_scores_gemma":[0.0001374633,0.00003643594,0.0001790763,0.00004533998,0.000003321394,0.00003688298,0.9989397,0.0001468514,0.0004748908],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8262225,"threshold_uncertainty_score":0.5813434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}