{"id":"W6943575373","doi":"10.15468/dl.kcbvrt","title":"Occurrence Download","year":2023,"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); Alien; The Internet","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":[0.001033716,0.001910681,0.001617543,0.00503426,0.001084085,0.002568669,0.002857789,0.002210521,0.1491678],"category_scores_gemma":[0.00605474,0.0009139312,0.001287191,0.01002593,0.0004679514,0.002352928,0.002612089,0.002054627,0.2107664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001632486,"about_ca_system_score_gemma":0.002483733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02358406,"about_ca_topic_score_gemma":0.03862828,"domain_scores_codex":[0.9988721,0.0001595471,0.0001433897,0.0003874901,0.0002501383,0.0001873539],"domain_scores_gemma":[0.9972651,0.0007981563,0.0002452157,0.0007185229,0.0006865507,0.0002864651],"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":[0.00003173825,0.0000131064,0.0004124905,0.0005874341,0.00001512334,0.00001646141,0.00002653191,0.0001269622,0.0001276381,0.0003824585,0.9967842,0.001475846],"study_design_scores_gemma":[0.00007183068,0.000009237076,0.002056154,0.0002114709,0.00001483181,0.00003799185,0.00008672156,0.0001453003,0.0001965343,0.0007439618,0.9964073,0.00001873915],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004638113,0.00002798313,0.00004235643,0.00003839254,0.0000125936,0.000005679969,0.9988391,0.0003642807,0.0006231911],"genre_scores_gemma":[0.0001619542,0.00003387438,0.0001968318,0.00004712959,0.000003468465,0.00004390972,0.9989144,0.0001330589,0.0004655199],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8508322,"threshold_uncertainty_score":0.4990159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}