{"id":"W6942906231","doi":"10.15468/dl.mtjyte","title":"Occurrence Download","year":2024,"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); Biodiversity; 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":[0.0009705982,0.001909339,0.001536056,0.005006036,0.001098733,0.002641936,0.002901774,0.002004784,0.2105856],"category_scores_gemma":[0.006625127,0.0009832967,0.001144661,0.00962969,0.0004533035,0.002638373,0.002946792,0.002008402,0.2618682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001736313,"about_ca_system_score_gemma":0.002538624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02552785,"about_ca_topic_score_gemma":0.04235936,"domain_scores_codex":[0.9989421,0.0001325265,0.0001241516,0.0003636854,0.0002579286,0.0001795963],"domain_scores_gemma":[0.9974023,0.0007350747,0.000209599,0.0006638193,0.0006994919,0.0002897546],"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":[0.00002451343,0.000008918944,0.0003088508,0.0004322385,0.00001120292,0.00001333359,0.00002285622,0.00009570424,0.0001017987,0.0003643174,0.997141,0.001475286],"study_design_scores_gemma":[0.00005782646,0.000006185981,0.001426994,0.0001800306,0.00001153557,0.00003343564,0.00007759998,0.0001323927,0.0001893536,0.0007740268,0.9970938,0.00001674789],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003895895,0.00002475191,0.00005896673,0.00003914837,0.00001245004,0.000005570538,0.9984903,0.000517543,0.0008122573],"genre_scores_gemma":[0.0001841287,0.00003626366,0.0002618,0.00005044919,0.00000389352,0.00004740267,0.9985562,0.0002634136,0.0005964177],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7894144,"threshold_uncertainty_score":0.704479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}