{"id":"W6887159412","doi":"10.15468/dl.qwd5sm","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":[0.001011132,0.001873772,0.001656069,0.005160269,0.0009248934,0.002486713,0.002681106,0.001980342,0.163967],"category_scores_gemma":[0.006289878,0.0008840949,0.001190654,0.0106061,0.0004330243,0.002141677,0.002391127,0.001891388,0.2139729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001539047,"about_ca_system_score_gemma":0.002281492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02108711,"about_ca_topic_score_gemma":0.03286849,"domain_scores_codex":[0.9989445,0.0001449485,0.000145287,0.0003587817,0.0002326583,0.0001738974],"domain_scores_gemma":[0.9973641,0.000785364,0.000255275,0.0006543196,0.0006510729,0.0002898778],"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":[0.00003223984,0.00001116379,0.0004188979,0.0006113055,0.00001717587,0.00001558862,0.00002259672,0.0001366922,0.0001201876,0.0003768759,0.9967805,0.001456817],"study_design_scores_gemma":[0.00008322363,0.000009034928,0.002152835,0.0002220935,0.00001668237,0.00003863395,0.00007103012,0.0001494549,0.0001843557,0.0007707332,0.9962836,0.00001835852],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003667587,0.00002502306,0.00003497144,0.00002942939,0.00000966575,0.000004445793,0.9990972,0.0002714188,0.000491211],"genre_scores_gemma":[0.0001582778,0.00003375577,0.0001668736,0.0000407422,0.000003383478,0.00003934187,0.9990496,0.0001176194,0.0003904462],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.836033,"threshold_uncertainty_score":0.5485243,"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."}}