{"id":"W6943485746","doi":"10.15468/dl.zmeum4","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); Order (exchange); Identification (biology)","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":[0.0009076119,0.00189549,0.001634614,0.004813782,0.001039994,0.002670376,0.002816982,0.002015447,0.1670166],"category_scores_gemma":[0.00631662,0.00091101,0.001201448,0.009712672,0.0004352223,0.002545668,0.002728484,0.001933026,0.2342249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001561334,"about_ca_system_score_gemma":0.002286935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0230353,"about_ca_topic_score_gemma":0.03720333,"domain_scores_codex":[0.9989842,0.0001293694,0.0001331005,0.000360265,0.0002220585,0.0001708983],"domain_scores_gemma":[0.9976108,0.0006589831,0.0002184921,0.0006094559,0.0006309006,0.0002714232],"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":[0.00002668871,0.000009938728,0.0003840828,0.0005537112,0.00001398058,0.00001587894,0.00002496124,0.0001159679,0.000100744,0.0003668706,0.9968913,0.001495848],"study_design_scores_gemma":[0.00005690565,0.000007198768,0.001802729,0.0002015254,0.00001401792,0.00003737827,0.00007866404,0.000147445,0.0001649729,0.0007562913,0.996716,0.00001700292],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004086168,0.00003037932,0.00004676584,0.00003981168,0.00001302754,0.000005232315,0.9986957,0.0004264214,0.0007018546],"genre_scores_gemma":[0.0001626915,0.00003735342,0.0002024175,0.00004697238,0.000003600599,0.0000385092,0.9988719,0.0001610659,0.0004755058],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8329834,"threshold_uncertainty_score":0.5587263,"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."}}