{"id":"W6962420438","doi":"10.15468/dl.n5cmhf","title":"Occurrence Download","year":2023,"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); Alien","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":[0.0009400379,0.00194934,0.001610803,0.005139299,0.001007237,0.002583361,0.002641145,0.002065046,0.1579645],"category_scores_gemma":[0.005813987,0.000899869,0.001271932,0.009886617,0.0004536895,0.002357385,0.002562846,0.001945685,0.2285967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001572584,"about_ca_system_score_gemma":0.002312236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02241603,"about_ca_topic_score_gemma":0.0355386,"domain_scores_codex":[0.998949,0.0001401479,0.0001352062,0.0003754867,0.0002241205,0.000176099],"domain_scores_gemma":[0.9974408,0.000753791,0.0002284833,0.0006595369,0.0006334621,0.0002838614],"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":[0.00002899163,0.0000123648,0.0004197335,0.0005748833,0.00001437313,0.00001598144,0.00002538227,0.0001179762,0.0001227652,0.0003444032,0.9968638,0.001459339],"study_design_scores_gemma":[0.00006878319,0.000009405605,0.002267331,0.0002140702,0.00001541826,0.00004033649,0.00008858009,0.0001507396,0.0001927654,0.0006999852,0.9962341,0.00001845387],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004688299,0.0000280515,0.00004111869,0.0000368672,0.00001266164,0.000005450872,0.9988438,0.0003669079,0.0006183715],"genre_scores_gemma":[0.0001679183,0.00003550688,0.0001849008,0.00004541269,0.000003814416,0.00004095353,0.9989036,0.0001379994,0.0004798579],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8420355,"threshold_uncertainty_score":0.528444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}