{"id":"W6943238092","doi":"10.15468/dl.ns3c2g","title":"Occurrence Download","year":2017,"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 modeling","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":[0.0009775939,0.002083818,0.001626214,0.004825518,0.0009946825,0.002764694,0.003124906,0.002126061,0.1507894],"category_scores_gemma":[0.006555237,0.000909691,0.00124122,0.009013253,0.00046647,0.002445828,0.002801389,0.002111937,0.2237244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001586677,"about_ca_system_score_gemma":0.002421255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01963953,"about_ca_topic_score_gemma":0.03245405,"domain_scores_codex":[0.9990213,0.0001283359,0.0001224123,0.0003521808,0.0002114055,0.0001643461],"domain_scores_gemma":[0.9976507,0.0006786381,0.0002084265,0.0006258108,0.0005636163,0.0002728087],"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":[0.00002771514,0.00001169713,0.0004144237,0.0005336931,0.00001591961,0.00001635343,0.00002579598,0.0001299914,0.0001077904,0.0003726992,0.9969279,0.001416066],"study_design_scores_gemma":[0.00007753416,0.000008657578,0.001845603,0.0002212063,0.00001685466,0.00004424087,0.00008474484,0.0002036398,0.0002060992,0.0008906914,0.996382,0.00001877316],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004847152,0.00003360561,0.00005493391,0.00004218506,0.00001446577,0.000006146081,0.9986524,0.0005165564,0.0006313877],"genre_scores_gemma":[0.0001688422,0.00003556116,0.000201975,0.00004478479,0.000003584873,0.00004303865,0.9989187,0.0001680078,0.0004155509],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8492106,"threshold_uncertainty_score":0.5044409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387106755018206,"score_gpt":0.2528130017232275,"score_spread":0.2289419341730454,"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."}}