{"id":"W6943227643","doi":"10.15468/dl.muzz34","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); Data set; Set (abstract data type)","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":[0.0008174583,0.001851798,0.001434652,0.004931113,0.000963831,0.002584663,0.002665905,0.001894925,0.1563959],"category_scores_gemma":[0.005519609,0.0008792388,0.001211066,0.00973564,0.000409945,0.002450407,0.002556061,0.002016767,0.2257961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001525109,"about_ca_system_score_gemma":0.002137515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02086912,"about_ca_topic_score_gemma":0.03504737,"domain_scores_codex":[0.9990391,0.0001247097,0.0001238503,0.0003379642,0.0002146391,0.000159842],"domain_scores_gemma":[0.9978084,0.0005905372,0.0001915069,0.0005922729,0.0005823748,0.0002349074],"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":[0.00002648174,0.00001100517,0.000412417,0.0005328084,0.00001411099,0.00001564999,0.00002541813,0.0001318537,0.0001080346,0.0003960751,0.9965019,0.001824235],"study_design_scores_gemma":[0.00005440307,0.000006839502,0.001597138,0.0001768568,0.00001189823,0.00003615623,0.00007919843,0.0001565369,0.0001641194,0.0007634587,0.9969376,0.00001582993],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004907588,0.00003114361,0.00005885338,0.00004029752,0.00001416142,0.000005833825,0.9984717,0.0005049766,0.0008240039],"genre_scores_gemma":[0.0001810616,0.00003924211,0.0002599606,0.00004680292,0.000003767445,0.00004209815,0.9986824,0.000181092,0.000563541],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8436041,"threshold_uncertainty_score":0.5231963,"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."}}