{"id":"W6887227123","doi":"10.15468/dl.xnfvvk","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":[0.001028253,0.002074171,0.001670614,0.005155875,0.0009531561,0.002645828,0.003051893,0.002118713,0.1322999],"category_scores_gemma":[0.006134547,0.0008894641,0.001244628,0.01000118,0.0004441237,0.00249933,0.002727928,0.002069576,0.1940504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001595516,"about_ca_system_score_gemma":0.002353496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01961273,"about_ca_topic_score_gemma":0.03415269,"domain_scores_codex":[0.9988681,0.0001535834,0.0001518782,0.0003871447,0.0002577162,0.0001816415],"domain_scores_gemma":[0.9974625,0.0006676395,0.0002577281,0.0007319828,0.0005811733,0.0002989402],"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":[0.00002951988,0.00001245761,0.0004342773,0.000507417,0.00001654636,0.00001583393,0.00002322475,0.0001404907,0.0001083574,0.0003822211,0.99691,0.001419812],"study_design_scores_gemma":[0.00007725511,0.00000888762,0.002060993,0.0001909677,0.00001554885,0.00004346043,0.00007306098,0.0001850836,0.0002023367,0.0008580169,0.9962663,0.0000181104],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000512629,0.00003034354,0.00004944025,0.00003716035,0.00001253451,0.000005374322,0.9987759,0.000427774,0.0006102067],"genre_scores_gemma":[0.0001604932,0.00003119536,0.0001861301,0.00003781556,0.000003208393,0.00003647346,0.9990048,0.0001266472,0.000413279],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8677,"threshold_uncertainty_score":0.4425874,"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."}}