{"id":"W6924246873","doi":"10.15468/dl.keb8km","title":"Occurrence Download","year":2021,"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; Set (abstract data type)","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":[0.001034325,0.002051773,0.001593635,0.005792973,0.0008818355,0.002484878,0.002670931,0.00187201,0.161995],"category_scores_gemma":[0.005920452,0.0009475432,0.001118004,0.01096607,0.0004479662,0.002215675,0.002642646,0.001929996,0.2290893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001565067,"about_ca_system_score_gemma":0.002366715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02053327,"about_ca_topic_score_gemma":0.0352377,"domain_scores_codex":[0.9988793,0.0001507799,0.0001495727,0.000378602,0.0002600673,0.0001816993],"domain_scores_gemma":[0.9971878,0.0007286259,0.0002837626,0.0007826687,0.0006752433,0.0003419528],"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":[0.000031132,0.00001108182,0.0003617999,0.0005241266,0.00001567169,0.0000143624,0.00002263437,0.0001202839,0.000125825,0.000370607,0.9969257,0.00147691],"study_design_scores_gemma":[0.00006751072,0.000008134533,0.001994808,0.0001612231,0.00001354308,0.00003422354,0.00006475097,0.0001236844,0.0001971712,0.0006974511,0.9966209,0.00001663311],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003689337,0.00002053838,0.00003628006,0.00002617856,0.000008657854,0.000004736807,0.9990181,0.0003169264,0.0005317224],"genre_scores_gemma":[0.0001351905,0.00002639018,0.0001641429,0.00003189168,0.000002845508,0.00003562931,0.9990764,0.0001260242,0.0004014966],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8380049,"threshold_uncertainty_score":0.5419273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}