{"id":"W6924530280","doi":"10.15468/dl.wxjw42","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":[0.0009728447,0.002005234,0.001565429,0.004353583,0.001062113,0.00247874,0.002969299,0.002105493,0.1599406],"category_scores_gemma":[0.006282789,0.0009425127,0.001201202,0.00882573,0.0004729248,0.002316254,0.002656472,0.002083763,0.2178901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00159761,"about_ca_system_score_gemma":0.002430812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02205633,"about_ca_topic_score_gemma":0.03639617,"domain_scores_codex":[0.9990107,0.0001275747,0.0001229313,0.0003494566,0.0002266248,0.0001627486],"domain_scores_gemma":[0.9975383,0.0007089688,0.0002119489,0.0006683759,0.0005912777,0.0002811758],"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":[0.00002795468,0.00001155242,0.0003434848,0.0004810258,0.000013527,0.00001413586,0.0000235699,0.0001232786,0.0001095748,0.0003562081,0.9971377,0.00135795],"study_design_scores_gemma":[0.00008104265,0.000008869632,0.001755135,0.0001855485,0.00001398507,0.00003903692,0.00008000198,0.0001708262,0.0002044435,0.0007864893,0.9966565,0.00001798515],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004475823,0.00002596467,0.00004881999,0.00003872464,0.00001368538,0.000005621561,0.9987557,0.0004481927,0.0006185764],"genre_scores_gemma":[0.000162462,0.00003124587,0.0002165078,0.00004530073,0.000003449726,0.00004348654,0.9988882,0.0001627082,0.0004467044],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8400595,"threshold_uncertainty_score":0.5350544,"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."}}