{"id":"W6887272350","doi":"10.15468/dl.xpfsqm","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); State (computer science); Metadata","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":[0.000889659,0.001900132,0.001515168,0.005570609,0.001040218,0.002802655,0.002839678,0.001865009,0.1979743],"category_scores_gemma":[0.005999488,0.0009664946,0.001271618,0.01091497,0.0004284397,0.002571615,0.002835614,0.002039032,0.27052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001655678,"about_ca_system_score_gemma":0.002390797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02115168,"about_ca_topic_score_gemma":0.03483942,"domain_scores_codex":[0.9989032,0.0001378309,0.0001458663,0.0003851977,0.0002451511,0.0001827509],"domain_scores_gemma":[0.9974697,0.0006567932,0.0002177041,0.0006931745,0.0006766387,0.0002860752],"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":[0.00002689703,0.000009626128,0.0003639435,0.0004961432,0.00001261235,0.00001396986,0.00002330942,0.0001103923,0.00009715585,0.0003747178,0.9965079,0.001963351],"study_design_scores_gemma":[0.00004617963,0.000006290898,0.001446978,0.0001539844,0.00001064365,0.0000330503,0.00006669721,0.0001307874,0.0001397811,0.0006291306,0.9973232,0.00001327054],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003610932,0.0000262016,0.00004991642,0.00003753153,0.00001342259,0.000005350025,0.9986709,0.0004033617,0.0007573025],"genre_scores_gemma":[0.0001419362,0.00003670517,0.0002205185,0.00004602811,0.000003854933,0.00004099763,0.9987146,0.0001547391,0.0006407472],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8020257,"threshold_uncertainty_score":0.66229,"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."}}