{"id":"W6887074294","doi":"10.15468/dl.m53zxw","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); 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":[0.001139148,0.001940835,0.001676013,0.00551469,0.001039084,0.002964498,0.002961018,0.002007713,0.1881802],"category_scores_gemma":[0.006780266,0.0010212,0.00115957,0.01102849,0.0004623078,0.002477412,0.002745662,0.002071971,0.2480163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001586175,"about_ca_system_score_gemma":0.002433267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02029931,"about_ca_topic_score_gemma":0.0315813,"domain_scores_codex":[0.9988558,0.0001539904,0.0001516707,0.0003997458,0.0002537425,0.0001849941],"domain_scores_gemma":[0.9972212,0.0008172846,0.0002631184,0.0007271129,0.0006591232,0.000312132],"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":[0.00002688045,0.000009582546,0.0003324246,0.0005341615,0.00001519947,0.00001429032,0.00002426722,0.0001092196,0.0001056337,0.0003995305,0.9971199,0.001308871],"study_design_scores_gemma":[0.00006362784,0.000006335768,0.001539645,0.0001856123,0.00001414694,0.00003311907,0.00006898554,0.0001160201,0.0001657407,0.0007630289,0.997027,0.00001683112],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003178723,0.0000227857,0.00004559533,0.00003225989,0.00001072251,0.000004579796,0.9988901,0.0003486681,0.0006134534],"genre_scores_gemma":[0.0001468675,0.00003385153,0.0001937893,0.00004422134,0.000003369299,0.00004086823,0.9988672,0.0001865807,0.0004833482],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8118198,"threshold_uncertainty_score":0.6295254,"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."}}