{"id":"W6887055377","doi":"10.15468/dl.pce7wc","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); Scheme (mathematics)","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":[0.001008862,0.001956173,0.001607489,0.005698867,0.0009222553,0.002378817,0.002859186,0.001840712,0.1588053],"category_scores_gemma":[0.00593674,0.0009174778,0.001109943,0.01159714,0.0004678658,0.002167307,0.002458394,0.001846625,0.1959271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001795054,"about_ca_system_score_gemma":0.002716797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03310347,"about_ca_topic_score_gemma":0.04882788,"domain_scores_codex":[0.9989721,0.0001277854,0.0001387112,0.0003403802,0.0002375548,0.000183425],"domain_scores_gemma":[0.9973507,0.0007123044,0.0002570341,0.0006720806,0.0006765084,0.0003314049],"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":[0.00003284184,0.00001080819,0.0003933863,0.000548859,0.00001525367,0.00001611988,0.00002507575,0.0001308552,0.0001216094,0.0003910614,0.9969211,0.001393154],"study_design_scores_gemma":[0.00007300155,0.000007838764,0.002372062,0.0001885875,0.00001489404,0.00003947893,0.00007929747,0.0001358912,0.0002035251,0.000663765,0.9962024,0.00001923624],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003486604,0.00001906463,0.00003086028,0.00002569265,0.000008209383,0.000003910388,0.999123,0.000262117,0.0004922629],"genre_scores_gemma":[0.0001421722,0.00002618517,0.0001431136,0.00003140003,0.000002575322,0.00003029481,0.9991186,0.0001110503,0.0003945444],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8411947,"threshold_uncertainty_score":0.5312567,"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."}}