{"id":"W6887299036","doi":"10.15468/dl.zcueuk","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); Order (exchange); 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":[0.0009402645,0.001867249,0.001536201,0.005325065,0.001036173,0.002726503,0.002823973,0.00193986,0.1487676],"category_scores_gemma":[0.006823896,0.0008307449,0.001226421,0.01072727,0.0004558119,0.002532012,0.002942036,0.001978191,0.2302725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001699879,"about_ca_system_score_gemma":0.002768037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02957167,"about_ca_topic_score_gemma":0.05093993,"domain_scores_codex":[0.9988847,0.0001442955,0.0001461321,0.0003774008,0.0002632912,0.0001841686],"domain_scores_gemma":[0.9972677,0.0007024835,0.0002514671,0.0007087505,0.0007620879,0.0003076133],"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":[0.00002432145,0.000009622031,0.0004354973,0.0004680283,0.00001338094,0.000014233,0.00002560656,0.0001094453,0.00008302771,0.0003733833,0.9969086,0.001534876],"study_design_scores_gemma":[0.00004831656,0.000006694991,0.001836331,0.0002051896,0.00001251381,0.00003578395,0.00008160759,0.0001427896,0.0001416398,0.0007321847,0.9967412,0.00001565369],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004486793,0.00003418631,0.00004795546,0.00004310107,0.0000138813,0.000005074164,0.9986889,0.0004008728,0.0007211837],"genre_scores_gemma":[0.000156408,0.00003944059,0.0001975885,0.00004382524,0.000003653108,0.00003579912,0.9988121,0.0001439044,0.0005673073],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8512324,"threshold_uncertainty_score":0.4976771,"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."}}