{"id":"W6886892701","doi":"10.15468/dl.kdarzz","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); 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":[0.001037002,0.002080763,0.001701472,0.004833087,0.001054531,0.002635728,0.002940852,0.00214427,0.157154],"category_scores_gemma":[0.005995977,0.0009522307,0.001160216,0.009458927,0.0004542902,0.002548599,0.002662282,0.002108837,0.226274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001594793,"about_ca_system_score_gemma":0.002389605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01984564,"about_ca_topic_score_gemma":0.03557283,"domain_scores_codex":[0.9989033,0.000161207,0.0001302889,0.0004003496,0.0002322351,0.0001727382],"domain_scores_gemma":[0.9974301,0.000726637,0.0002314112,0.0007090211,0.0005979189,0.0003048142],"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":[0.00002990357,0.00001147786,0.0003362918,0.0005316473,0.00001467172,0.00001461705,0.00002241603,0.0001198431,0.0001151425,0.0003927739,0.9971737,0.001237402],"study_design_scores_gemma":[0.00007386711,0.000007693423,0.001604038,0.0001745621,0.00001334189,0.00003451443,0.00006346777,0.0001421563,0.0001855288,0.0008725734,0.9968101,0.00001815984],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000390248,0.00002694064,0.00004684178,0.00003487924,0.00001094453,0.000005276051,0.9987551,0.0004172771,0.0006637548],"genre_scores_gemma":[0.0001550619,0.00003167745,0.0002029964,0.00004567873,0.000003261663,0.00004066123,0.998897,0.0001658526,0.0004577279],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.842846,"threshold_uncertainty_score":0.5257324,"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."}}