{"id":"W6924756398","doi":"10.15468/dl.qwx8g4","title":"Occurrence Download","year":2022,"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); Set (abstract data type); 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":[0.001200678,0.00202594,0.001780139,0.005543715,0.001115859,0.003024629,0.003162799,0.002121396,0.1896232],"category_scores_gemma":[0.007028283,0.001032951,0.001236304,0.0111161,0.0004883514,0.002539226,0.002876708,0.002152687,0.2534227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001636203,"about_ca_system_score_gemma":0.002542962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02100293,"about_ca_topic_score_gemma":0.03380672,"domain_scores_codex":[0.9987827,0.0001647553,0.0001583898,0.0004233286,0.0002732305,0.0001975819],"domain_scores_gemma":[0.9972048,0.0008148329,0.0002534282,0.0007338457,0.000688312,0.0003046698],"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":[0.00002805254,0.000009874752,0.0003212906,0.000559747,0.00001534273,0.00001420427,0.00002451011,0.0001080616,0.0001138715,0.0004127558,0.9970144,0.001378022],"study_design_scores_gemma":[0.00006145275,0.000006509632,0.001471931,0.0001915497,0.00001372536,0.00003228548,0.00006730187,0.0001084845,0.0001659621,0.0007566577,0.9971077,0.00001651625],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003210189,0.00002595058,0.00004865292,0.00003315785,0.00001155245,0.000004937484,0.9988048,0.0003820881,0.00065674],"genre_scores_gemma":[0.0001388454,0.00003377162,0.0001951169,0.00004325162,0.000003249119,0.00004129173,0.9988814,0.000187061,0.0004758804],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8103768,"threshold_uncertainty_score":0.6343527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}