{"id":"W6962136656","doi":"10.15468/dl.vixihk","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); Download; Set (abstract data type); 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":[0.0008870841,0.001959377,0.001422604,0.005063026,0.0009002339,0.002330955,0.002728947,0.001701568,0.1336413],"category_scores_gemma":[0.00573047,0.0008337569,0.001136728,0.01053357,0.0004078113,0.0021605,0.002462572,0.001748729,0.1933442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001656013,"about_ca_system_score_gemma":0.002647457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02839387,"about_ca_topic_score_gemma":0.04840975,"domain_scores_codex":[0.9989629,0.0001345208,0.0001318887,0.0003597598,0.0002339558,0.0001769109],"domain_scores_gemma":[0.997714,0.0005704215,0.0002357861,0.0005932797,0.0006128542,0.0002736119],"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":[0.00002992911,0.00001118747,0.0004569227,0.00042323,0.0000136345,0.00001385209,0.00002177769,0.0001198198,0.0001107677,0.0004017961,0.9969172,0.001479845],"study_design_scores_gemma":[0.00006451742,0.000008561597,0.002001568,0.0001616367,0.00001338023,0.0000377678,0.0000642841,0.0001487671,0.000188367,0.0007320776,0.9965629,0.00001624184],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005470876,0.0000293514,0.00004349463,0.00003343007,0.00001173619,0.000004795348,0.9986976,0.0003969498,0.0007278929],"genre_scores_gemma":[0.0001498134,0.00003246725,0.0001651424,0.00003528103,0.000002785868,0.00002970961,0.9989685,0.000127556,0.0004886895],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8663588,"threshold_uncertainty_score":0.4470745,"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."}}