{"id":"W6943019078","doi":"10.15468/dl.kemgta","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); Order (exchange)","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":[0.001112486,0.001877145,0.001636854,0.005356199,0.001034017,0.002804941,0.002917131,0.001942295,0.185801],"category_scores_gemma":[0.006933488,0.0009889446,0.001145146,0.01102594,0.0004648159,0.002403185,0.002702271,0.001999992,0.2407498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001607527,"about_ca_system_score_gemma":0.002471727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02278594,"about_ca_topic_score_gemma":0.03634307,"domain_scores_codex":[0.9988672,0.0001528034,0.0001510312,0.0003900398,0.0002563946,0.0001826678],"domain_scores_gemma":[0.9971929,0.0008155815,0.0002580128,0.000726749,0.0006953548,0.0003115201],"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":[0.00002516799,0.000009078521,0.0003237509,0.000506283,0.00001343454,0.00001307187,0.00002359737,0.0001006391,0.00009348538,0.0003749022,0.9972646,0.00125203],"study_design_scores_gemma":[0.00006406486,0.000006410547,0.001584632,0.0001917549,0.00001330293,0.00003178071,0.00007303505,0.0001138956,0.0001576718,0.0007414279,0.9970056,0.00001619565],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003213643,0.00002267556,0.00004156468,0.00003246997,0.00001059059,0.000004738275,0.9989142,0.0003267638,0.0006148185],"genre_scores_gemma":[0.0001498962,0.00003402543,0.000187529,0.00004417737,0.000003319528,0.00004404457,0.9988546,0.0001760693,0.0005063725],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.814199,"threshold_uncertainty_score":0.6215663,"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."}}