{"id":"W6943513816","doi":"10.15468/dl.qrcqwg","title":"Occurrence Download","year":2022,"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":[0.0009704364,0.002049248,0.001706946,0.005274285,0.001033235,0.002675978,0.002835198,0.002115017,0.1495151],"category_scores_gemma":[0.005813755,0.0009422217,0.001153349,0.01039064,0.0004430442,0.002285719,0.002622626,0.002036469,0.2073939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001635372,"about_ca_system_score_gemma":0.002466819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02308566,"about_ca_topic_score_gemma":0.03847068,"domain_scores_codex":[0.9989331,0.0001427081,0.0001365952,0.0003705548,0.0002406543,0.000176369],"domain_scores_gemma":[0.9975893,0.0006818559,0.0002358297,0.0006129552,0.0005911705,0.0002888873],"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":[0.00003164229,0.0000118025,0.0003910736,0.0005770573,0.00001589709,0.00001723915,0.00002629259,0.0001263963,0.0001303228,0.0004094606,0.9969104,0.001352432],"study_design_scores_gemma":[0.00007568957,0.000007802861,0.001920525,0.0001911041,0.0000144194,0.00003969625,0.00007735964,0.0001455324,0.0001965606,0.0007738215,0.996539,0.00001863974],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004011604,0.00002550825,0.00004124273,0.00003224558,0.00001030369,0.000004699099,0.9989269,0.0003464658,0.0005724912],"genre_scores_gemma":[0.0001565241,0.00003129244,0.0001861301,0.00004001749,0.00000299527,0.00003696368,0.9989946,0.0001362593,0.0004152283],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8504849,"threshold_uncertainty_score":0.5001777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}