{"id":"W6943290857","doi":"10.15468/dl.katvq6","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":"Matching (statistics); Download; Alien; Identification (biology); The Internet","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":[0.0009776736,0.002097856,0.001508115,0.004652365,0.001002653,0.002401939,0.002759645,0.002000243,0.1438363],"category_scores_gemma":[0.005886965,0.000907101,0.001228674,0.00904642,0.0004514642,0.00216235,0.002535638,0.00187162,0.202468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001455516,"about_ca_system_score_gemma":0.002332263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02004695,"about_ca_topic_score_gemma":0.03311248,"domain_scores_codex":[0.998935,0.0001470466,0.0001313145,0.0003854615,0.000224183,0.0001768996],"domain_scores_gemma":[0.997617,0.0006669239,0.0002221269,0.0006459611,0.0005652428,0.0002826843],"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":[0.00003359143,0.00001266057,0.0004057811,0.0004990853,0.00001447306,0.00001426399,0.00002020992,0.0001324107,0.0001271856,0.0003452653,0.9969906,0.00140451],"study_design_scores_gemma":[0.00008807432,0.00001191872,0.002019004,0.0001835574,0.00001542686,0.00004064358,0.00006807018,0.0001747844,0.000223135,0.0008256598,0.9963298,0.00001986868],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005469215,0.00002937254,0.00004226613,0.00003750221,0.00001419247,0.000005710576,0.9987869,0.0004110361,0.0006183079],"genre_scores_gemma":[0.000166211,0.00003214046,0.0001866405,0.00004689387,0.000003683223,0.00004121882,0.9989279,0.0001420307,0.0004532626],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8561636,"threshold_uncertainty_score":0.4811805,"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."}}