{"id":"W6943041161","doi":"10.15468/dl.r2kbn2","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":"Ornithology; National Museum of Natural History; National museum; Biodiversity; Natural history; Natural (archaeology)","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":["insufficient_payload"],"category_scores_codex":[0.001044521,0.002919897,0.002553098,0.008523424,0.001497103,0.005015129,0.003246914,0.002175955,0.4017259],"category_scores_gemma":[0.008181585,0.001075846,0.002016779,0.0151674,0.0003977125,0.005208797,0.004476635,0.002155409,0.5308424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001829104,"about_ca_system_score_gemma":0.002508468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02127484,"about_ca_topic_score_gemma":0.03584366,"domain_scores_codex":[0.9982488,0.0001814213,0.0002526165,0.0006583721,0.0003843847,0.0002743664],"domain_scores_gemma":[0.9965221,0.0008411899,0.0002307545,0.0008864825,0.001120431,0.0003990926],"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":[0.00003229282,0.00000965805,0.0002510581,0.0004438157,0.00001156681,0.0000144087,0.00001737899,0.00006330827,0.00005749537,0.0003161332,0.995734,0.003048899],"study_design_scores_gemma":[0.00005210583,0.0000115769,0.001281094,0.0001751024,0.00001300962,0.00003708197,0.00008624727,0.0001800857,0.0001190276,0.00105675,0.9969695,0.00001843176],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004271022,0.00004493717,0.00009344905,0.00005647166,0.00003263361,0.00001119243,0.9964921,0.001208005,0.002018414],"genre_scores_gemma":[0.0001530614,0.00005718358,0.0004169771,0.00007291,0.00001077311,0.00005828513,0.997292,0.0003983098,0.001540558],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5982741,"threshold_uncertainty_score":0.8533654,"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."}}