{"id":"W6905843446","doi":"10.15468/dl.mysbf5","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":[0.0009967277,0.001966936,0.001608486,0.004913765,0.001028229,0.002516605,0.00280173,0.002144401,0.1570736],"category_scores_gemma":[0.005974613,0.0009196895,0.001229532,0.009907943,0.0004473632,0.002213897,0.002614117,0.001952249,0.2168747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001635306,"about_ca_system_score_gemma":0.002430521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02450061,"about_ca_topic_score_gemma":0.03878588,"domain_scores_codex":[0.9989465,0.0001418196,0.0001337386,0.0003625655,0.0002418796,0.0001736116],"domain_scores_gemma":[0.9975794,0.0006895096,0.0002224036,0.0006303806,0.0006037157,0.0002746334],"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":[0.00002909884,0.00001106861,0.000405516,0.000539474,0.00001554566,0.00001564625,0.00002686687,0.00013308,0.0001272086,0.0003986028,0.9968034,0.001494506],"study_design_scores_gemma":[0.00006914913,0.000007682086,0.00188714,0.0001972831,0.00001481712,0.00003810301,0.00007612239,0.0001631809,0.0001983431,0.0007681201,0.9965618,0.00001824164],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004209591,0.00002714194,0.00004842794,0.00003460576,0.00001136764,0.00000516182,0.9988047,0.0004003655,0.0006261292],"genre_scores_gemma":[0.0001667689,0.00003220463,0.0002113098,0.00004482997,0.000003077422,0.00004190632,0.9988939,0.0001583029,0.0004477461],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8429264,"threshold_uncertainty_score":0.5254636,"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."}}