{"id":"W6942920777","doi":"10.15468/dl.kozjus","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":"Download; Matching (statistics); Range (aeronautics); Data set","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":[0.0009769589,0.001953166,0.001616454,0.00559543,0.0008515818,0.002547589,0.002631987,0.001894941,0.1702425],"category_scores_gemma":[0.006437971,0.0008703255,0.001140455,0.01069514,0.0004194491,0.002339805,0.002703758,0.001852044,0.2329243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001564124,"about_ca_system_score_gemma":0.002373062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02124038,"about_ca_topic_score_gemma":0.03594255,"domain_scores_codex":[0.9989108,0.0001382487,0.000150446,0.0003745423,0.0002436257,0.0001824136],"domain_scores_gemma":[0.9973027,0.0006975502,0.0002803231,0.0006944882,0.0006922216,0.0003328437],"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":[0.00002948263,0.000009319196,0.0003769115,0.0005561719,0.00001572807,0.00001431615,0.00002084619,0.0001103061,0.0001043996,0.0003521258,0.997047,0.00136346],"study_design_scores_gemma":[0.00007622581,0.000008143058,0.001964588,0.000206741,0.00001464925,0.00003602627,0.00006331574,0.0001341208,0.0001714673,0.0007162094,0.9965927,0.00001580364],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003598212,0.0000257108,0.00003546375,0.00002990497,0.00001024628,0.00000475348,0.9989728,0.0003233956,0.0005616531],"genre_scores_gemma":[0.0001408068,0.00003229652,0.0001534218,0.00003657491,0.000003506709,0.00003509906,0.9990568,0.0001215535,0.0004199912],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8297575,"threshold_uncertainty_score":0.569518,"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."}}