{"id":"W6887282690","doi":"10.15468/dl.yn5edj","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":[0.0008102746,0.001853316,0.001427843,0.005080895,0.000960352,0.002561761,0.002549464,0.001814052,0.1641811],"category_scores_gemma":[0.005640951,0.0008654065,0.00117337,0.01070583,0.0004076338,0.002302872,0.002488799,0.001940577,0.2473672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001488337,"about_ca_system_score_gemma":0.00233058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02252602,"about_ca_topic_score_gemma":0.03913508,"domain_scores_codex":[0.9990014,0.0001295803,0.0001234883,0.0003658726,0.0002198445,0.0001597836],"domain_scores_gemma":[0.9978074,0.0005925859,0.0001990223,0.0005736686,0.0005908388,0.0002365399],"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":[0.00002515474,0.000009535006,0.0004181568,0.0005518259,0.00001434085,0.00001472395,0.00002365926,0.0001246124,0.0001066375,0.0003499637,0.9966055,0.001755821],"study_design_scores_gemma":[0.00004603603,0.000006409045,0.001658795,0.000175196,0.00001252145,0.00003254385,0.00007063212,0.0001300463,0.0001613454,0.0006383249,0.9970535,0.00001471448],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004310894,0.00003238217,0.00005077111,0.00003574893,0.00001322115,0.000005200528,0.9986302,0.0004029764,0.0007865448],"genre_scores_gemma":[0.0001627103,0.00003998609,0.0002168046,0.00004367243,0.000003769762,0.00003915085,0.9986867,0.0001534381,0.000653816],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8358189,"threshold_uncertainty_score":0.5492404,"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."}}