{"id":"W6962208147","doi":"10.15468/dl.mng98a","title":"Occurrence Download","year":2021,"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":[0.00109148,0.00193896,0.001737944,0.005491039,0.0009321047,0.002522167,0.002848472,0.002108613,0.1590827],"category_scores_gemma":[0.006639911,0.0009366976,0.001178715,0.0110304,0.0004505783,0.002236702,0.002425596,0.001984541,0.2040583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00160951,"about_ca_system_score_gemma":0.002345475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02022862,"about_ca_topic_score_gemma":0.03208609,"domain_scores_codex":[0.998836,0.0001598292,0.0001632653,0.0003923432,0.0002625565,0.0001860924],"domain_scores_gemma":[0.9970784,0.0008551808,0.0002843067,0.0007478529,0.0007110405,0.0003231704],"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":[0.00003317326,0.00001240304,0.0004255526,0.0006090326,0.00001720056,0.00001564557,0.00002242138,0.0001452251,0.0001228765,0.0003658931,0.9967477,0.001482889],"study_design_scores_gemma":[0.00008790485,0.000009415369,0.002276341,0.0002171764,0.00001700052,0.00003879781,0.00007248835,0.000162521,0.0001933246,0.0007261029,0.9961801,0.00001897066],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003756464,0.00002376237,0.00003362684,0.00002973184,0.000009128416,0.000004768117,0.9991365,0.000259426,0.0004655932],"genre_scores_gemma":[0.0001504021,0.00003037144,0.000163337,0.00003727722,0.00000317117,0.00004075629,0.9990861,0.000104906,0.0003836565],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8409173,"threshold_uncertainty_score":0.5321845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}