{"id":"W6962290220","doi":"10.15468/dl.yg6exr","title":"Occurrence Download","year":2018,"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; Set (abstract data type)","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":[0.0008750557,0.001993061,0.001581285,0.005052727,0.001030073,0.002689781,0.002914288,0.002159634,0.1402971],"category_scores_gemma":[0.006178776,0.0009044287,0.001328628,0.01002461,0.0004370018,0.002451112,0.002620487,0.002125491,0.199829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001585831,"about_ca_system_score_gemma":0.002347916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01907454,"about_ca_topic_score_gemma":0.03006813,"domain_scores_codex":[0.9989759,0.0001364957,0.0001386586,0.0003668984,0.0002158872,0.0001662019],"domain_scores_gemma":[0.9977011,0.0006568801,0.0002124594,0.0006098356,0.0005704875,0.0002491855],"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":[0.0000318936,0.00001230823,0.0004796294,0.0006818174,0.00001786435,0.00001855746,0.0000259352,0.0001504136,0.0001177237,0.0003978283,0.9963127,0.001753424],"study_design_scores_gemma":[0.00007413671,0.000009066193,0.001894089,0.000222919,0.00001631502,0.00004471816,0.00007560095,0.0002028435,0.0001798725,0.0007934704,0.9964701,0.00001692661],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005097912,0.00003917329,0.00005209418,0.00004273295,0.00001484708,0.000006156124,0.9986991,0.000465958,0.0006288931],"genre_scores_gemma":[0.00017415,0.00004388211,0.0002079688,0.00005104409,0.000003905367,0.00004426485,0.9988948,0.000137705,0.0004425052],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8597029,"threshold_uncertainty_score":0.4693404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}