{"id":"W6962025599","doi":"10.15468/dl.xt99ut","title":"Occurrence Download","year":2016,"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; Set (abstract data type)","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":[0.001072722,0.002039027,0.00172408,0.005372415,0.0009548272,0.002785696,0.003151862,0.002160934,0.1476072],"category_scores_gemma":[0.006607545,0.0009078775,0.001222695,0.01091672,0.0004361359,0.002408063,0.002624241,0.002060399,0.2130534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001582603,"about_ca_system_score_gemma":0.00243525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01945609,"about_ca_topic_score_gemma":0.03221817,"domain_scores_codex":[0.9988777,0.0001554209,0.0001512638,0.0003858915,0.0002463749,0.0001834253],"domain_scores_gemma":[0.9973673,0.0007158016,0.0002677424,0.000700437,0.0006416091,0.0003071468],"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":[0.00003005825,0.00001176347,0.0004058295,0.0005741945,0.00001757613,0.00001537135,0.00002176662,0.0001265632,0.0001049162,0.0003852434,0.9969321,0.001374506],"study_design_scores_gemma":[0.00008015337,0.000008569871,0.001922666,0.0002117503,0.00001645565,0.00003977874,0.00006613084,0.0001503512,0.0001826449,0.0008210111,0.9964828,0.00001765917],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003992291,0.00003123149,0.00004052821,0.00003374431,0.00001106706,0.000004932837,0.9989313,0.0003307619,0.0005763957],"genre_scores_gemma":[0.000143547,0.0000336758,0.000158752,0.0000385407,0.000003292719,0.00003576315,0.9990714,0.0001149471,0.0004000119],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8523928,"threshold_uncertainty_score":0.4937954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}