{"id":"W6887112112","doi":"10.15468/dl.q5a78e","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":"Matching (statistics); Download; Range (aeronautics); Data set; Data quality","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":[0.001023106,0.002005653,0.001695771,0.005206295,0.0009661497,0.002659895,0.002958897,0.002061521,0.1635445],"category_scores_gemma":[0.005954553,0.0009728933,0.001183961,0.01056542,0.0004537664,0.002343205,0.002634438,0.001984993,0.2171887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001630581,"about_ca_system_score_gemma":0.00238811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02214855,"about_ca_topic_score_gemma":0.03514134,"domain_scores_codex":[0.9989637,0.0001378364,0.000138142,0.0003592267,0.0002269264,0.0001741313],"domain_scores_gemma":[0.99768,0.0006650774,0.0002326028,0.000600894,0.0005494308,0.0002719081],"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":[0.00003002419,0.00001012648,0.0003623167,0.00060156,0.00001694739,0.00001504134,0.00002530314,0.0001354821,0.0001204645,0.0004079483,0.9968545,0.001420271],"study_design_scores_gemma":[0.00007684805,0.000007573506,0.001764018,0.00020739,0.00001616621,0.00003835214,0.00007130651,0.000148937,0.0001828956,0.0007803716,0.9966887,0.00001747508],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003583914,0.00002675324,0.00004293357,0.00003116224,0.00001013875,0.000004483793,0.9989309,0.0003501544,0.0005676679],"genre_scores_gemma":[0.0001502313,0.00003446931,0.0001851503,0.00004071324,0.00000301616,0.00003692706,0.9989925,0.0001491376,0.0004077492],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8364555,"threshold_uncertainty_score":0.5471107,"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."}}