{"id":"W4205186833","doi":"10.17504/protocols.io.bumjnu4n","title":"SARS-CoV2 GISAID submission protocol v2","year":2021,"lang":"en","type":"preprint","venue":"","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Protocol (science); Computer science; Biology; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003086249,0.0003787507,0.0005940728,0.0001976681,0.00009149736,0.0001218538,0.0001515253,0.0005327261,0.0009600439],"category_scores_gemma":[0.0007018233,0.0003121263,0.0003089109,0.0002398492,0.00004727613,0.00005175722,0.0005410369,0.001191633,0.00016414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001706257,"about_ca_system_score_gemma":0.0005482153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003278583,"about_ca_topic_score_gemma":0.00001403808,"domain_scores_codex":[0.9977887,0.00007922689,0.0005443596,0.0007657825,0.0004846614,0.0003373141],"domain_scores_gemma":[0.9984492,0.00004771994,0.0002146746,0.000853178,0.000319863,0.0001153294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002436223,0.0004607083,0.004886178,0.002307307,0.000153203,0.0005058034,0.0002475067,0.000004559796,0.9517155,0.00005292704,0.00707441,0.0323483],"study_design_scores_gemma":[0.001516033,0.0001272685,0.001360211,0.00133254,0.00007385938,0.0002772704,0.00006110407,0.001177323,0.907498,0.0001460943,0.08608805,0.0003422371],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5217975,0.00003902978,0.003806086,0.001352833,0.001551307,0.1741824,0.000005756564,0.001979987,0.2952851],"genre_scores_gemma":[0.5844077,0.000008208368,0.04804197,0.01884394,0.003358999,0.3244462,0.000172865,0.0004395898,0.02028049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2750046,"threshold_uncertainty_score":0.9999532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08583132913686078,"score_gpt":0.3831728208386371,"score_spread":0.2973414917017764,"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."}}