{"id":"W6925036136","doi":"10.15468/dl.ru2vsr","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Complexity and Algorithms in Graphs","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Real world data; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003685905,0.0003032781,0.0002861461,0.0001822526,0.000430661,0.0004692744,0.002321394,0.0002940618,0.0001423825],"category_scores_gemma":[0.0001324125,0.0003229626,0.0002103464,0.001087509,0.0001729886,0.00189604,0.001604656,0.0003609058,0.4955345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00020622,"about_ca_system_score_gemma":0.0001710007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000705929,"about_ca_topic_score_gemma":0.00002442524,"domain_scores_codex":[0.9980691,0.00007050924,0.0004051575,0.0003600578,0.0006999031,0.0003952739],"domain_scores_gemma":[0.9981921,0.00004576729,0.0002711977,0.001062382,0.0002452755,0.0001833292],"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":[0.0000055168,0.00002408783,0.00005819252,0.0000859131,0.00002265508,0.000005647653,0.00003529768,0.00000968029,5.041761e-9,0.000004354164,0.9948587,0.004889906],"study_design_scores_gemma":[0.0002132194,0.00003211251,0.00008403712,0.000003437602,0.00001409658,0.000006437951,0.00003014076,0.000008175698,8.16762e-7,0.00003769831,0.9992311,0.000338709],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001543824,0.00001168483,0.000762277,0.0003256965,0.001782096,0.0002319094,0.9963362,0.0004737415,0.00006098935],"genre_scores_gemma":[7.310672e-7,0.00006677538,0.00003547592,0.0004722225,0.000002077044,0.00000417602,0.9994184,1.03744e-8,1.663017e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4953922,"threshold_uncertainty_score":0.9999222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0243884055004972,"score_gpt":0.2317224040121104,"score_spread":0.2073339985116132,"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."}}