{"id":"W6924806223","doi":"10.15468/dl.lhgkv2","title":"Occurrence Download","year":2018,"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); Set (abstract data type); 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":[0.000951144,0.00199979,0.001634048,0.005239724,0.0009683948,0.002567847,0.002996012,0.002021817,0.1419869],"category_scores_gemma":[0.005824122,0.0008689355,0.001154121,0.01068934,0.0004382902,0.002361627,0.002595672,0.00208363,0.2046105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001613155,"about_ca_system_score_gemma":0.002388535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02149633,"about_ca_topic_score_gemma":0.03789245,"domain_scores_codex":[0.9989913,0.0001264466,0.0001279209,0.0003493672,0.0002356774,0.0001693204],"domain_scores_gemma":[0.9976836,0.0006071164,0.0002261945,0.0006284625,0.0005804277,0.0002741792],"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":[0.00002734509,0.00001093783,0.0004065762,0.0005467889,0.00001654732,0.00001566336,0.00002505319,0.0001382116,0.0001197523,0.0004160722,0.9967511,0.001525965],"study_design_scores_gemma":[0.00006199714,0.000006431022,0.001664599,0.0001779771,0.00001373802,0.00003389064,0.00006569971,0.0001417533,0.0001728176,0.0007372556,0.9969082,0.00001566777],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004364703,0.00003057463,0.00004758907,0.00003274057,0.00001165391,0.000004932599,0.9987764,0.000377219,0.0006753248],"genre_scores_gemma":[0.0001482525,0.0000332898,0.0001901087,0.0000352102,0.00000298564,0.00003443512,0.9990072,0.0001319303,0.0004166678],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8580132,"threshold_uncertainty_score":0.4749934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}