{"id":"W6924455029","doi":"10.15468/dl.82cjez","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); Data set; Order (exchange)","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":[0.001052054,0.00195809,0.001656798,0.005422122,0.0009938731,0.002602575,0.002834233,0.00200089,0.152537],"category_scores_gemma":[0.006104236,0.0009092066,0.001228656,0.01004024,0.0004526739,0.002325476,0.002681362,0.002002687,0.2134645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001507911,"about_ca_system_score_gemma":0.002310507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01838292,"about_ca_topic_score_gemma":0.03231371,"domain_scores_codex":[0.9988907,0.0001493911,0.0001519079,0.0003705602,0.000249768,0.0001876408],"domain_scores_gemma":[0.9975073,0.0006582665,0.0002397623,0.000665898,0.0006247198,0.0003040802],"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":[0.00003437916,0.00001267635,0.0003998767,0.0006194791,0.00001706431,0.000016386,0.0000232775,0.0001199403,0.0001487287,0.0003919968,0.9966981,0.001517941],"study_design_scores_gemma":[0.00007568528,0.000008746272,0.001894989,0.0001957393,0.00001504338,0.00003821132,0.00006612382,0.0001285234,0.0002062409,0.0007254248,0.9966279,0.000017333],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004440124,0.00002921242,0.00004102364,0.00003384349,0.00001196407,0.000005840427,0.9988423,0.00035364,0.0006376609],"genre_scores_gemma":[0.0001491015,0.00003357843,0.0001768459,0.00004251903,0.000003425003,0.00004107055,0.9990369,0.0001230508,0.0003934847],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.847463,"threshold_uncertainty_score":0.5102872,"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."}}