{"id":"W6887396691","doi":"10.15468/dl.zhsq8n","title":"Occurrence Download","year":2022,"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":[0.001173476,0.002120501,0.001757293,0.005338631,0.00112005,0.002823197,0.003064847,0.00212359,0.1753958],"category_scores_gemma":[0.006630442,0.001036887,0.001205911,0.01040445,0.000483871,0.002418355,0.002753475,0.002183127,0.2407432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001756742,"about_ca_system_score_gemma":0.002580306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02418036,"about_ca_topic_score_gemma":0.03761382,"domain_scores_codex":[0.9988456,0.000151299,0.0001490063,0.0003982768,0.000265993,0.0001899185],"domain_scores_gemma":[0.9972672,0.0007843245,0.0002527564,0.0007138849,0.0006750331,0.0003068124],"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":[0.00002699557,0.00001040268,0.0003152497,0.0005179761,0.0000146457,0.00001409713,0.00002398779,0.0001095101,0.0001140035,0.0003886167,0.9972124,0.00125222],"study_design_scores_gemma":[0.00006872539,0.000006940099,0.001643913,0.0001839734,0.00001431565,0.00003442894,0.0000665694,0.0001263648,0.0001886386,0.0007538372,0.9968942,0.00001809414],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003299239,0.00002371976,0.00004641309,0.00003207695,0.00001097124,0.000004943681,0.9988269,0.0003868169,0.0006350534],"genre_scores_gemma":[0.0001348421,0.00003088481,0.0001912452,0.00004081206,0.000003016101,0.00004146101,0.9989404,0.0001769129,0.0004403871],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8246042,"threshold_uncertainty_score":0.5867573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}