{"id":"W6962802409","doi":"10.15468/dl.qm6mxy","title":"Occurrence Download","year":2024,"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); Danaus; Range (aeronautics); 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":[0.0009559132,0.002030969,0.001616252,0.005112926,0.001038185,0.00272276,0.002836867,0.002058176,0.1786507],"category_scores_gemma":[0.006438328,0.0009622597,0.001259467,0.01028741,0.0004368105,0.002546825,0.002706682,0.002070451,0.2588047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001622657,"about_ca_system_score_gemma":0.00236064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02224682,"about_ca_topic_score_gemma":0.03585025,"domain_scores_codex":[0.9989411,0.0001386252,0.0001269241,0.0003803367,0.0002407437,0.0001722452],"domain_scores_gemma":[0.9974875,0.0007227462,0.0002193532,0.0006493399,0.0006412778,0.0002796477],"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":[0.00002422258,0.00000926,0.0003304225,0.0004770781,0.00001334296,0.00001279158,0.00002237185,0.0001089325,0.00009220729,0.0003334255,0.9972022,0.001373731],"study_design_scores_gemma":[0.00006105685,0.000007085019,0.00152625,0.000174664,0.00001349169,0.00003056853,0.00006984406,0.000147397,0.0001700197,0.0007775252,0.997005,0.00001694797],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003683682,0.00002677662,0.00004778413,0.00003803392,0.00001298514,0.000005236788,0.9986919,0.0004468786,0.0006936262],"genre_scores_gemma":[0.0001548074,0.0000359652,0.0002184628,0.00004631921,0.000003923478,0.00004634842,0.9987183,0.0001966473,0.0005792961],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8213493,"threshold_uncertainty_score":0.5976462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}