{"id":"W6905902413","doi":"10.15468/dl.verboc","title":"Occurrence Download","year":2016,"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); Data set; Confidentiality","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":[0.001025216,0.001973533,0.001652963,0.005249082,0.0009342608,0.002611442,0.002951447,0.0020972,0.1378556],"category_scores_gemma":[0.006116601,0.000868084,0.001171747,0.01013067,0.0004317902,0.002330524,0.002585707,0.002047713,0.1980942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00157947,"about_ca_system_score_gemma":0.002403742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0202631,"about_ca_topic_score_gemma":0.03466667,"domain_scores_codex":[0.99893,0.0001463488,0.0001439321,0.0003672078,0.0002351206,0.0001773599],"domain_scores_gemma":[0.9974675,0.0006987629,0.0002588504,0.0006740759,0.0005997363,0.0003010123],"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":[0.00003042471,0.00001231816,0.0004418892,0.0005745552,0.0000171583,0.0000157933,0.00002320102,0.0001317276,0.0001136142,0.0003811778,0.9968843,0.001373944],"study_design_scores_gemma":[0.0000828862,0.000008969843,0.002147417,0.0002160139,0.00001658225,0.00004253096,0.00007217242,0.000157931,0.0001891131,0.0007979146,0.9962503,0.00001810227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004406643,0.00003040738,0.00003976149,0.00003408848,0.00001117887,0.000004958754,0.9989578,0.0003141713,0.0005635816],"genre_scores_gemma":[0.0001521818,0.00003316602,0.0001625316,0.00003820911,0.000003227559,0.00003579087,0.9990727,0.0001043693,0.0003978306],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8621444,"threshold_uncertainty_score":0.4611729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}