{"id":"W6906031861","doi":"10.15468/dl.s5v5cu","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); Alien; The Internet","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":[0.0009873036,0.001981306,0.001663153,0.004925471,0.001029532,0.00259264,0.002802326,0.002226333,0.1459387],"category_scores_gemma":[0.006079164,0.0009110464,0.001369192,0.009409664,0.0004572913,0.002372749,0.002568088,0.001981954,0.2122205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001584308,"about_ca_system_score_gemma":0.002326268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02267541,"about_ca_topic_score_gemma":0.03564261,"domain_scores_codex":[0.9989089,0.0001510171,0.000140912,0.0003865822,0.0002323563,0.0001802845],"domain_scores_gemma":[0.9973916,0.0007723107,0.0002315663,0.0006998354,0.0006236536,0.000281064],"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":[0.000032739,0.00001338164,0.0004303748,0.0006450921,0.00001662033,0.00001703246,0.00002529121,0.0001338552,0.0001305926,0.0003502937,0.9966801,0.001524568],"study_design_scores_gemma":[0.00008047083,0.00001087741,0.002304581,0.000227656,0.00001751204,0.00004319704,0.00008860035,0.000182653,0.0002076979,0.0007468411,0.9960704,0.00001968298],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004884638,0.00003048342,0.00004210577,0.000039054,0.00001304036,0.000005897876,0.9988478,0.000407434,0.0005652175],"genre_scores_gemma":[0.0001673817,0.00003631661,0.0001923985,0.00004570645,0.000003697651,0.00004272683,0.9989609,0.0001290549,0.0004219058],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8540613,"threshold_uncertainty_score":0.4882136,"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."}}