{"id":"W6887012952","doi":"10.15468/dl.n08ksd","title":"Occurrence Download","year":2018,"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); Confidentiality; The Internet","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":[0.0009920644,0.002107901,0.00167129,0.005086102,0.001068135,0.002863097,0.003149046,0.002176182,0.1525802],"category_scores_gemma":[0.006401895,0.0009402085,0.001315588,0.009477477,0.0004710524,0.002437872,0.002874323,0.00213155,0.2248698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001648513,"about_ca_system_score_gemma":0.002429788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02279167,"about_ca_topic_score_gemma":0.03653927,"domain_scores_codex":[0.9989223,0.0001353025,0.0001358896,0.0003848539,0.0002418394,0.0001797427],"domain_scores_gemma":[0.9975511,0.0006790825,0.0002182986,0.0006713563,0.0005995017,0.0002806064],"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":[0.00002805753,0.00001213163,0.0004096014,0.0005151597,0.00001541306,0.00001721768,0.00002593525,0.0001238528,0.000108363,0.0003759589,0.9970008,0.001367549],"study_design_scores_gemma":[0.00007254689,0.000008376349,0.00191625,0.0002091728,0.00001647191,0.00004477958,0.0000833308,0.0001852209,0.0001976789,0.0008498777,0.9963972,0.00001896984],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004886285,0.00003191554,0.00005344827,0.00004186897,0.00001394908,0.000005792983,0.9985977,0.0005438587,0.0006626561],"genre_scores_gemma":[0.0001630414,0.00003437018,0.0002047517,0.00004415963,0.000003450593,0.0000399986,0.9989048,0.0001742988,0.0004311917],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8474198,"threshold_uncertainty_score":0.5104316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}