{"id":"W6924419662","doi":"10.15468/dl.szgxq9","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); Hirundo","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":[0.0008574063,0.00204412,0.001600493,0.004820503,0.001046649,0.002679402,0.002977226,0.002164408,0.1703669],"category_scores_gemma":[0.005596978,0.0009733814,0.001186539,0.009727414,0.0004436917,0.002475155,0.002754793,0.002065187,0.2328551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001718743,"about_ca_system_score_gemma":0.00233011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02371899,"about_ca_topic_score_gemma":0.03969663,"domain_scores_codex":[0.9990616,0.0001169439,0.000111791,0.0003222719,0.0002263064,0.0001610816],"domain_scores_gemma":[0.9979568,0.0005696696,0.0001754973,0.0005289137,0.0005316535,0.0002375647],"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":[0.00002681378,0.00001084878,0.0003282416,0.0005254481,0.00001356668,0.00001519745,0.00002410915,0.0001164276,0.000110973,0.0003817933,0.9969524,0.001494053],"study_design_scores_gemma":[0.00007032269,0.000007353098,0.001582763,0.0001973219,0.00001369376,0.00004075368,0.00007903584,0.0001661216,0.0001994544,0.0007991215,0.9968265,0.00001769154],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004175166,0.00003129328,0.00005376964,0.00003870644,0.00001215427,0.000005655994,0.9985492,0.000519143,0.0007482642],"genre_scores_gemma":[0.0001760642,0.00003939398,0.0002349667,0.00004688089,0.000003456205,0.0000440262,0.9987438,0.0001984014,0.0005128805],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8296331,"threshold_uncertainty_score":0.569934,"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."}}