{"id":"W6943684612","doi":"10.15468/dl.xk8t8k","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); Data 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":[0.0009830737,0.002040437,0.00163373,0.004755277,0.001035542,0.002584819,0.002908601,0.002211617,0.1565811],"category_scores_gemma":[0.005800475,0.0009374887,0.00116585,0.009450912,0.0004770688,0.002483732,0.002591068,0.00210831,0.2202524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001584087,"about_ca_system_score_gemma":0.00227297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02038048,"about_ca_topic_score_gemma":0.03619129,"domain_scores_codex":[0.9989638,0.0001474195,0.0001259442,0.0003739464,0.0002210782,0.0001678389],"domain_scores_gemma":[0.9974956,0.0007014426,0.000232823,0.000678096,0.0006036206,0.0002884554],"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":[0.00002889868,0.00001192704,0.0003403639,0.0005067624,0.00001376233,0.00001480677,0.000022952,0.0001234506,0.0001111294,0.0003763217,0.9971848,0.001264835],"study_design_scores_gemma":[0.0000777374,0.000007920063,0.001659675,0.0001721552,0.00001310398,0.00003541181,0.00007289658,0.0001440616,0.0001780539,0.0008545506,0.9967661,0.00001834857],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004119274,0.00002533273,0.00004481407,0.00003630622,0.00001157136,0.000005190743,0.9988417,0.0003628927,0.0006310997],"genre_scores_gemma":[0.0001657408,0.00003152503,0.000211994,0.00004693956,0.000003579451,0.00004353713,0.99887,0.0001506973,0.0004760437],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8434189,"threshold_uncertainty_score":0.523816,"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."}}