{"id":"W6962387227","doi":"10.15468/dl.qvx9wq","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; Confidentiality","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":[0.001073038,0.002001205,0.001644958,0.005460347,0.0009408731,0.002596863,0.003050676,0.00209808,0.1409689],"category_scores_gemma":[0.006424918,0.0008913245,0.001213535,0.01046383,0.0004467951,0.002318715,0.002608116,0.002055279,0.2062528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001564088,"about_ca_system_score_gemma":0.002424572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02054204,"about_ca_topic_score_gemma":0.03457038,"domain_scores_codex":[0.9988775,0.0001571189,0.0001509765,0.0003834598,0.000249206,0.0001817548],"domain_scores_gemma":[0.997333,0.0007186572,0.0002659354,0.0007280833,0.000641269,0.0003129486],"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":[0.00002889017,0.0000121488,0.0004175382,0.0005308556,0.00001670481,0.00001513439,0.00002173436,0.0001270412,0.000102873,0.0003638701,0.9970081,0.001355158],"study_design_scores_gemma":[0.000080594,0.000009026716,0.002131718,0.0002103595,0.000016422,0.00004109506,0.00006951899,0.0001532637,0.0001833972,0.0007920665,0.9962944,0.00001808563],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004513656,0.00003024389,0.00004115006,0.00003513174,0.00001153976,0.000005327603,0.9989262,0.0003228046,0.0005822571],"genre_scores_gemma":[0.0001467275,0.00003190525,0.0001560176,0.00003849062,0.00000323027,0.00003687904,0.9990692,0.0001072831,0.0004103316],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8590311,"threshold_uncertainty_score":0.471588,"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."}}