{"id":"W6962294040","doi":"10.15468/dl.wdkegj","title":"Occurrence Download","year":2022,"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); Training 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":[0.0009487574,0.001942482,0.001570886,0.004826642,0.001026041,0.002458471,0.002880462,0.002061323,0.1440933],"category_scores_gemma":[0.005617588,0.000882101,0.001180385,0.009304525,0.0004742341,0.002258193,0.002564821,0.002005602,0.2046767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001535029,"about_ca_system_score_gemma":0.002289084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02126111,"about_ca_topic_score_gemma":0.03700523,"domain_scores_codex":[0.9990122,0.0001340501,0.0001205102,0.0003416337,0.0002270078,0.0001645315],"domain_scores_gemma":[0.9977725,0.0006094797,0.0002058559,0.0006007529,0.0005482318,0.0002630756],"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":[0.00002876681,0.00001208207,0.0003957126,0.0005387857,0.00001516271,0.00001628403,0.00002537727,0.0001391363,0.0001353645,0.0003808314,0.9966981,0.001614412],"study_design_scores_gemma":[0.00006329428,0.000008545991,0.001931467,0.0001953483,0.00001452682,0.00004276432,0.00007889489,0.000163671,0.0002061905,0.0007791728,0.996498,0.00001813899],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005333245,0.00003633334,0.0000547308,0.00003979534,0.00001440609,0.000005663132,0.9986295,0.0004566572,0.0007096881],"genre_scores_gemma":[0.0001738605,0.0000355895,0.0002206106,0.00004332152,0.000003420277,0.00004015789,0.9988694,0.0001483363,0.0004652087],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8559067,"threshold_uncertainty_score":0.48204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}