{"id":"W6905752931","doi":"10.15468/dl.kud3b9","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); 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":[0.0009466368,0.002041755,0.001622725,0.005549054,0.0009704636,0.002494545,0.00283591,0.001911438,0.1583317],"category_scores_gemma":[0.00591476,0.0008807212,0.001174143,0.0104312,0.0004236028,0.00231157,0.002810828,0.001962937,0.2245206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001689762,"about_ca_system_score_gemma":0.002703101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02739586,"about_ca_topic_score_gemma":0.04727306,"domain_scores_codex":[0.998944,0.000127695,0.0001324955,0.0003588635,0.000246731,0.00019015],"domain_scores_gemma":[0.9973446,0.000652927,0.0002484904,0.0007029207,0.0007131194,0.0003380404],"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":[0.00002805298,0.000009474533,0.0003550647,0.0005352854,0.00001498105,0.00001406829,0.00002160864,0.0001020785,0.0001155515,0.000313673,0.997126,0.00136407],"study_design_scores_gemma":[0.00006942245,0.000007969444,0.002016892,0.0001910029,0.00001471932,0.00003690245,0.00006409398,0.0001223293,0.0001914627,0.0006508991,0.9966174,0.00001707035],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003776571,0.00002629125,0.00003664611,0.00002915674,0.00001068617,0.000004955617,0.9989247,0.0003799489,0.0005497785],"genre_scores_gemma":[0.0001418899,0.00003326927,0.0001673641,0.00003762205,0.00000329448,0.00003430842,0.9990444,0.0001345947,0.0004033644],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8416683,"threshold_uncertainty_score":0.5296723,"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."}}