{"id":"W6924597188","doi":"10.15468/dl.lduofr","title":"Occurrence Download","year":2016,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Set (abstract data type); Download; Identification (biology)","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":[0.000861251,0.002083971,0.001585212,0.005374059,0.0008962401,0.002559753,0.002791148,0.001789163,0.1446569],"category_scores_gemma":[0.005645612,0.0009107622,0.00117702,0.01104653,0.000399714,0.002336818,0.002587883,0.001818591,0.2131284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001592546,"about_ca_system_score_gemma":0.002501791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02439233,"about_ca_topic_score_gemma":0.0412651,"domain_scores_codex":[0.9989331,0.000133776,0.0001453624,0.0003714172,0.0002389665,0.0001772647],"domain_scores_gemma":[0.9976724,0.0005743507,0.0002583252,0.0006079595,0.0006086837,0.0002782652],"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":[0.00002962328,0.000009558942,0.0004086904,0.0004787902,0.00001461136,0.00001403345,0.00002168338,0.0001132446,0.0001041012,0.0004082476,0.996962,0.001435404],"study_design_scores_gemma":[0.00005874561,0.000007109029,0.001753846,0.0001649029,0.0000134297,0.00003561121,0.00005617324,0.0001271051,0.0001789795,0.0007483782,0.996839,0.00001658802],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000419777,0.00002781466,0.00004079019,0.0000300263,0.00001087519,0.000004197339,0.998822,0.0003564928,0.0006657177],"genre_scores_gemma":[0.0001458908,0.00003551099,0.0001658032,0.00003731539,0.000003193783,0.00003129065,0.9989355,0.000132894,0.0005126542],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8553431,"threshold_uncertainty_score":0.4839256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}