{"id":"W6962188355","doi":"10.15468/dl.lt6r43","title":"Occurrence Download","year":2019,"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); Confidentiality; 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":[0.0009460945,0.001923073,0.001594421,0.004980056,0.0009759724,0.002651295,0.002848762,0.001913179,0.1589013],"category_scores_gemma":[0.005565981,0.0008560556,0.001139339,0.01026159,0.0004180394,0.002160467,0.002437576,0.001894692,0.2302245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001464505,"about_ca_system_score_gemma":0.002393185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02221098,"about_ca_topic_score_gemma":0.03607123,"domain_scores_codex":[0.9990228,0.000130027,0.0001219503,0.0003412464,0.0002216775,0.0001623458],"domain_scores_gemma":[0.9978587,0.0005856898,0.0002000507,0.0005742377,0.0005396837,0.0002416353],"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":[0.00002840347,0.00001021644,0.0003724542,0.0005189729,0.00001632454,0.00001495767,0.00002375891,0.0001239492,0.0001207388,0.0004125701,0.9969051,0.00145251],"study_design_scores_gemma":[0.00006200296,0.000006948662,0.001729131,0.0001720571,0.00001513244,0.00003496612,0.00006597714,0.0001383165,0.0002029262,0.0008429572,0.9967128,0.00001679217],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000374469,0.00002632132,0.00004549959,0.00002944636,0.00001050082,0.000004499956,0.9988004,0.0003873775,0.000658473],"genre_scores_gemma":[0.0001495649,0.00003054805,0.000173628,0.00003735597,0.00000295489,0.00003409354,0.9989772,0.0001449845,0.0004497283],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8410987,"threshold_uncertainty_score":0.5315777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}