{"id":"W6962218619","doi":"10.15468/dl.l2vttg","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); Order (exchange); 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":[0.001070927,0.00203544,0.001595246,0.005103749,0.0009143384,0.002646948,0.002937241,0.001990793,0.1416713],"category_scores_gemma":[0.006218053,0.0008885162,0.001218074,0.0104577,0.000447289,0.002244922,0.002730816,0.002026483,0.2157366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001637245,"about_ca_system_score_gemma":0.002509473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02180042,"about_ca_topic_score_gemma":0.03716866,"domain_scores_codex":[0.9988722,0.0001562963,0.0001531273,0.0003737763,0.0002553038,0.0001892923],"domain_scores_gemma":[0.997471,0.0006200579,0.0002647016,0.0006972968,0.0006359901,0.0003109924],"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":[0.00003207199,0.00001144376,0.0003950442,0.0005421895,0.00001682124,0.00001426525,0.00002256663,0.0001220991,0.0001101751,0.0003895183,0.9969464,0.001397405],"study_design_scores_gemma":[0.00007893921,0.000008055164,0.001841858,0.0001954195,0.00001442407,0.00003444628,0.00006099892,0.0001324051,0.0001824025,0.0007574444,0.9966775,0.00001613398],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003934446,0.00002685391,0.00003584562,0.00003035124,0.000009992394,0.000005037983,0.9989694,0.0003101219,0.0005729749],"genre_scores_gemma":[0.0001359561,0.00003160891,0.0001532294,0.00003815032,0.000002963819,0.00003560311,0.9991046,0.0001102952,0.0003874743],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8583287,"threshold_uncertainty_score":0.4739377,"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."}}