{"id":"W6906101061","doi":"10.15468/dl.z5b6wh","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":"Download; Matching (statistics); PARRY; Range (aeronautics); Species name","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":[0.0008630226,0.001991019,0.001629068,0.005095398,0.001161629,0.002728598,0.002883923,0.002221764,0.1678942],"category_scores_gemma":[0.005736667,0.0009440153,0.001413344,0.009497302,0.0004348788,0.002659277,0.002707962,0.00211847,0.2481813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001603768,"about_ca_system_score_gemma":0.002378355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02092492,"about_ca_topic_score_gemma":0.03452773,"domain_scores_codex":[0.9989669,0.0001303716,0.0001326899,0.0003791211,0.0002146089,0.0001763137],"domain_scores_gemma":[0.997701,0.0006261066,0.0001877305,0.0006145533,0.0006137545,0.0002569256],"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":[0.00003046529,0.0000122612,0.0004163749,0.0006418223,0.00001505388,0.00001873821,0.00002567397,0.0001147712,0.0001350737,0.0003834021,0.9964883,0.001718064],"study_design_scores_gemma":[0.00006290545,0.000008170821,0.001718257,0.0001952322,0.00001429022,0.00004252099,0.00007300341,0.0001631957,0.0001945249,0.0007426001,0.9967685,0.00001679636],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005504183,0.00003846003,0.0000582107,0.00004484053,0.00001601671,0.000007146017,0.9983646,0.0005521011,0.0008635792],"genre_scores_gemma":[0.0001680231,0.0000407101,0.0002155975,0.00005521372,0.000004179004,0.00004492415,0.9987337,0.0001745424,0.0005631152],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8321058,"threshold_uncertainty_score":0.5616621,"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."}}