{"id":"W6887336539","doi":"10.15468/dl.yfc3ku","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Alien; Range (aeronautics)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001001128,0.0001997715,0.0001628786,0.00008897109,0.00014197,0.0001035131,0.0003008796,0.0002715022,0.0003001552],"category_scores_gemma":[0.00002871197,0.0002259092,0.00007491038,0.0004690499,0.00005051258,0.0005209377,0.0001006864,0.0001765724,0.4888943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000242364,"about_ca_system_score_gemma":0.00003312677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002008806,"about_ca_topic_score_gemma":0.00001832046,"domain_scores_codex":[0.999155,0.00001105041,0.0002755936,0.0001207337,0.0002385399,0.000199047],"domain_scores_gemma":[0.9993342,0.0000106867,0.0000746158,0.000371059,0.0001197319,0.00008975392],"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":[0.000003173653,0.000006356668,0.00005626357,0.0001361462,0.00001974544,3.512921e-7,0.00001213072,0.004935936,2.247801e-8,8.15479e-8,0.9939478,0.0008820167],"study_design_scores_gemma":[0.0001245562,0.000006250781,0.00005602588,0.000001659641,0.00002734039,9.554545e-7,0.00003380467,0.00003400062,0.000001231861,6.910454e-7,0.9994951,0.0002183483],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006661713,0.00001243343,0.0001283054,0.0000307591,0.0005047856,0.0002479961,0.9983296,0.0005560607,0.0001234063],"genre_scores_gemma":[0.000003784447,0.0002444836,0.00000442878,0.00005968355,0.000001544332,0.00001088831,0.999675,2.658021e-8,1.06442e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4885941,"threshold_uncertainty_score":0.9212312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01053550632402329,"score_gpt":0.1959474816871203,"score_spread":0.1854119753630971,"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."}}