{"id":"W6887174193","doi":"10.15468/dl.sgnrmz","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":"Taxon; Geodetic datum; Elevation (ballistics); Footprint; Matching (statistics); Coordinate system","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":[0.000941581,0.002032915,0.001924087,0.006533497,0.001293634,0.003754242,0.002212195,0.002010034,0.3645811],"category_scores_gemma":[0.006898171,0.0009374901,0.001636294,0.009466704,0.0003880089,0.003125342,0.003327515,0.002051047,0.4015715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001390261,"about_ca_system_score_gemma":0.002666531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02004675,"about_ca_topic_score_gemma":0.03385071,"domain_scores_codex":[0.9986556,0.0001503555,0.00021516,0.0004478523,0.0003013864,0.0002296672],"domain_scores_gemma":[0.9966677,0.0009257178,0.0002374529,0.000848682,0.0009137561,0.0004066292],"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":[0.00005054206,0.00001750886,0.0004050719,0.0005354874,0.00001341003,0.00002249581,0.00003016413,0.0001297819,0.0001119028,0.000551898,0.994197,0.003934576],"study_design_scores_gemma":[0.00006356285,0.00001160138,0.001509918,0.0001638899,0.00001381742,0.00004508193,0.000111775,0.0002574261,0.0001601129,0.001286223,0.9963527,0.00002393242],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007195214,0.00004488579,0.0001326892,0.00005788077,0.00004022826,0.00001295092,0.9955302,0.001461049,0.002648271],"genre_scores_gemma":[0.0003562479,0.00007400114,0.0007376422,0.0001074428,0.00001322952,0.00006565366,0.9961942,0.0005030214,0.001948611],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6354189,"threshold_uncertainty_score":0.906348,"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."}}