{"id":"W6924894475","doi":"10.15468/dl.pgertk","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Diphtheria, Corynebacterium, and Tetanus","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":[0.001017693,0.002381211,0.001699916,0.004764744,0.001024647,0.002732254,0.002970921,0.002230651,0.1335741],"category_scores_gemma":[0.006001595,0.0009101901,0.001336646,0.009160032,0.0004683656,0.002100983,0.002495919,0.002067144,0.2041075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00156251,"about_ca_system_score_gemma":0.002457002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01898377,"about_ca_topic_score_gemma":0.03253682,"domain_scores_codex":[0.9989225,0.0001528056,0.0001325958,0.0003961769,0.0002254561,0.0001706223],"domain_scores_gemma":[0.9977023,0.0006660517,0.0002097178,0.0005882093,0.0005516809,0.0002821028],"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":[0.0000394153,0.00001539244,0.0005071619,0.0006443085,0.00001944808,0.0000179028,0.00002177725,0.000185468,0.0001311456,0.0003703432,0.996436,0.001611567],"study_design_scores_gemma":[0.00009559996,0.00001205859,0.001843898,0.0001976963,0.00001819159,0.00004188339,0.00006589088,0.0002312603,0.0002188094,0.0009229306,0.9963309,0.00002080662],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005092847,0.0000343895,0.00004469387,0.00003651141,0.00001386118,0.000005865681,0.9987996,0.0004467425,0.0005675112],"genre_scores_gemma":[0.0001578613,0.00003815634,0.0002099876,0.00004476048,0.000003526105,0.00004002207,0.9989593,0.0001302494,0.0004161681],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8664259,"threshold_uncertainty_score":0.44685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009349574629168782,"score_gpt":0.2082824925623863,"score_spread":0.1989329179332176,"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."}}