{"id":"W6924602048","doi":"10.15468/dl.zm48q6","title":"Occurrence Download","year":2023,"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":[0.001066144,0.001998416,0.001625708,0.005435258,0.00101305,0.002761001,0.002844125,0.001954312,0.1757917],"category_scores_gemma":[0.00632349,0.0009052378,0.001210836,0.01078665,0.0004552399,0.002416514,0.002809966,0.002024332,0.2564849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001650386,"about_ca_system_score_gemma":0.002601045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02440876,"about_ca_topic_score_gemma":0.0413212,"domain_scores_codex":[0.9988853,0.0001549085,0.0001478282,0.0003656855,0.0002567519,0.0001896359],"domain_scores_gemma":[0.9972293,0.0007217011,0.0002545766,0.0007276133,0.0007342402,0.0003326885],"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":[0.00002791757,0.000009630899,0.0002985053,0.0005137642,0.00001363279,0.0000123117,0.00002064729,0.00009587064,0.0001051293,0.0003644985,0.9971634,0.001374683],"study_design_scores_gemma":[0.00005703462,0.000006455049,0.001434375,0.0001730522,0.00001216338,0.00002811244,0.0000553546,0.00009658591,0.0001608018,0.0006985559,0.9972624,0.00001515844],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003160208,0.00002500012,0.00003858826,0.0000320052,0.00001063858,0.00000505656,0.9988344,0.0003311291,0.000691555],"genre_scores_gemma":[0.0001294577,0.00003407496,0.0001685893,0.00004578894,0.000003387212,0.0000374413,0.9989492,0.0001463008,0.0004857192],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8242083,"threshold_uncertainty_score":0.5880818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}