{"id":"W6943735294","doi":"10.15468/dl.z35kxh","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Range (aeronautics); Context (archaeology); 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":[0.001002013,0.00192848,0.001579562,0.004927989,0.0008734659,0.002336264,0.002661271,0.001920994,0.1600614],"category_scores_gemma":[0.006440091,0.0008791935,0.001160893,0.009659076,0.0004140119,0.002259198,0.002457468,0.001857646,0.2178684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001436837,"about_ca_system_score_gemma":0.002212737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02023754,"about_ca_topic_score_gemma":0.03317127,"domain_scores_codex":[0.9989775,0.0001404143,0.0001382996,0.000355858,0.0002234883,0.0001644587],"domain_scores_gemma":[0.9973497,0.0007615777,0.000250578,0.0006721842,0.0006665444,0.000299318],"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":[0.00002892119,0.00001057498,0.0003722292,0.0005100353,0.00001506173,0.00001394164,0.00002091801,0.0001201691,0.0001023171,0.0003323642,0.9971024,0.001370984],"study_design_scores_gemma":[0.00007846536,0.000009041878,0.002018743,0.0002055637,0.00001535147,0.00003774969,0.00007075362,0.0001545833,0.0001916634,0.0008192678,0.9963807,0.0000180985],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000363652,0.00002351652,0.00004030089,0.00002970329,0.000009661215,0.000004994856,0.9989743,0.0003402135,0.000540981],"genre_scores_gemma":[0.0001597477,0.00003112269,0.0001816814,0.00004148919,0.000003311245,0.00004011798,0.9990124,0.0001356151,0.0003945267],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8399386,"threshold_uncertainty_score":0.5354587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}