{"id":"W6943253910","doi":"10.15468/dl.krgxrz","title":"Occurrence Download","year":2019,"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); Ornithology; Data collection","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":[0.0009482287,0.001852946,0.001479081,0.005408315,0.0008531445,0.002350571,0.002562033,0.001712778,0.1861375],"category_scores_gemma":[0.005488871,0.0008852729,0.001123413,0.01003923,0.0004042273,0.00213319,0.002694031,0.001726015,0.2661195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001509037,"about_ca_system_score_gemma":0.002298849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02407209,"about_ca_topic_score_gemma":0.04115042,"domain_scores_codex":[0.9990166,0.0001264285,0.0001283841,0.0003327448,0.0002353505,0.0001604146],"domain_scores_gemma":[0.997582,0.0006100902,0.0002342966,0.0006359477,0.0006409374,0.0002966986],"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":[0.0000269989,0.000008679332,0.0003237046,0.0005325315,0.00001426737,0.00001279846,0.00002119663,0.0001028745,0.0001147048,0.0003424544,0.9970441,0.001455829],"study_design_scores_gemma":[0.00005402072,0.000006482804,0.001666449,0.0001752665,0.00001220111,0.00002724858,0.00005823645,0.00009082461,0.0001590264,0.0006262689,0.9971092,0.00001473103],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003297226,0.00002270371,0.00003564288,0.00002630237,0.000009599163,0.000004351307,0.9989185,0.0003149383,0.0006349796],"genre_scores_gemma":[0.0001316159,0.0000326238,0.0001630226,0.00003517768,0.00000319225,0.00003255452,0.998933,0.000147111,0.0005216451],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8138624,"threshold_uncertainty_score":0.6226921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}