{"id":"W6906090289","doi":"10.15468/dl.xv3wga","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); Range (aeronautics); Set (abstract data type); Data set","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":[0.0009708321,0.001919704,0.001571075,0.004669289,0.0009854223,0.002417683,0.002973463,0.002161351,0.1400781],"category_scores_gemma":[0.006013318,0.0008884638,0.00118139,0.009099791,0.0004519103,0.002265576,0.002525276,0.001967648,0.2034281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001599279,"about_ca_system_score_gemma":0.002453775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02215695,"about_ca_topic_score_gemma":0.03870592,"domain_scores_codex":[0.9989292,0.0001457848,0.000135246,0.000370766,0.0002436376,0.0001752917],"domain_scores_gemma":[0.9975653,0.00066837,0.0002248725,0.0006491908,0.000604479,0.0002878007],"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":[0.00002851951,0.00001135251,0.0003863719,0.0004971939,0.00001485871,0.00001410159,0.00002243196,0.0001304935,0.0001099712,0.0003627416,0.9970791,0.001342797],"study_design_scores_gemma":[0.00007897167,0.000008975563,0.00199853,0.0001963266,0.00001545976,0.00003983215,0.00008008863,0.0001877042,0.0002077058,0.0008325133,0.9963354,0.00001841341],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000432627,0.0000276424,0.00004382739,0.00003578738,0.00001102853,0.000005031094,0.9989182,0.0003484027,0.0005668236],"genre_scores_gemma":[0.0001555017,0.00003083508,0.0001837083,0.00003910339,0.000003097139,0.00003670857,0.9990471,0.0001113297,0.0003925401],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8599219,"threshold_uncertainty_score":0.468608,"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."}}