{"id":"W6887017776","doi":"10.15468/dl.kcfkzp","title":"Occurrence Download","year":2020,"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)","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":[0.001133216,0.001989971,0.001585427,0.005788235,0.0008666703,0.002503099,0.002644753,0.001827204,0.1730588],"category_scores_gemma":[0.006443079,0.0009127755,0.001165675,0.01065872,0.0004351077,0.002482296,0.002760427,0.001792198,0.2359417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001581569,"about_ca_system_score_gemma":0.002347584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02001801,"about_ca_topic_score_gemma":0.03246556,"domain_scores_codex":[0.9988316,0.0001595233,0.000154004,0.0004014284,0.0002588988,0.0001947261],"domain_scores_gemma":[0.9971309,0.0007438619,0.0002845392,0.0007551813,0.0007317961,0.0003537454],"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":[0.00003279856,0.000009365516,0.000344541,0.0005640037,0.00001537452,0.00001380934,0.00002083579,0.0001159012,0.0001173012,0.0003844193,0.9968283,0.001553443],"study_design_scores_gemma":[0.00006073068,0.000007784069,0.001759445,0.0001789155,0.00001278918,0.00003185356,0.00005760865,0.0001198952,0.0001832654,0.0007652266,0.9968058,0.00001659482],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003156885,0.00002368182,0.00003662522,0.00002875377,0.000009370438,0.000004565738,0.9989666,0.0003372348,0.0005614976],"genre_scores_gemma":[0.0001428939,0.00003196964,0.0001723228,0.00004307256,0.000003435975,0.00003550156,0.9989892,0.0001450276,0.000436581],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8269412,"threshold_uncertainty_score":0.5789394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}