{"id":"W6962409643","doi":"10.15468/dl.xemkek","title":"Occurrence Download","year":2021,"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; Set (abstract data type)","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":[0.001137634,0.001987257,0.001787547,0.005556985,0.0009419898,0.002596072,0.002903479,0.002161011,0.1683813],"category_scores_gemma":[0.007011317,0.0009651912,0.001198901,0.01144768,0.0004627284,0.002259926,0.00245933,0.002026098,0.2133494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001698696,"about_ca_system_score_gemma":0.002445579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02089866,"about_ca_topic_score_gemma":0.03193901,"domain_scores_codex":[0.9987877,0.0001691113,0.0001702657,0.000410988,0.0002698234,0.0001921697],"domain_scores_gemma":[0.9969233,0.0009383817,0.0002975343,0.000764386,0.0007450956,0.000331189],"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":[0.00003407901,0.00001210058,0.0004013144,0.0006499455,0.00001754311,0.00001542516,0.00002276167,0.0001450787,0.0001194272,0.0003888782,0.9967638,0.001429506],"study_design_scores_gemma":[0.00009290055,0.00000930137,0.002091376,0.0002234796,0.00001725373,0.00003676322,0.00006947645,0.0001566645,0.000192943,0.0007601613,0.9963307,0.00001908082],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003244073,0.00002235883,0.00003266714,0.0000284776,0.00000863065,0.000004562808,0.9991792,0.0002495177,0.0004421633],"genre_scores_gemma":[0.0001456277,0.00003077731,0.0001618139,0.0000386989,0.000003123294,0.00004244661,0.999087,0.0001114263,0.0003790564],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8316187,"threshold_uncertainty_score":0.5632917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}