{"id":"W3041661950","doi":"10.17504/protocols.io.bh98j99w","title":"SARS-CoV2 GISAID submission protocol v1","year":2020,"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; 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"],"consensus_categories":[],"category_scores_codex":[0.0002120612,0.0003868725,0.0005837457,0.0001635128,0.00008225604,0.00007103954,0.000185636,0.0004573335,0.0005231187],"category_scores_gemma":[0.0007589268,0.0003110583,0.0002716957,0.0002274362,0.00004770604,0.00003871614,0.000534129,0.001289334,0.0006521159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000137167,"about_ca_system_score_gemma":0.0003739903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001995392,"about_ca_topic_score_gemma":0.000003922656,"domain_scores_codex":[0.9978734,0.00005962222,0.0005357316,0.0007581191,0.0004665805,0.0003064964],"domain_scores_gemma":[0.9987642,0.00004385916,0.0002284605,0.0006301384,0.0001763368,0.0001569647],"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":[0.0005438815,0.0002562338,0.003056315,0.00233437,0.0001328837,0.0002918427,0.0002263206,0.000002713524,0.9403739,0.0001592838,0.0285216,0.02410066],"study_design_scores_gemma":[0.001558438,0.0002235154,0.0008197063,0.0006595746,0.00006923656,0.0001125291,0.00001838876,0.002253081,0.7654335,0.0008017822,0.2277327,0.000317584],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1218095,0.00002176014,0.006997843,0.009735853,0.001642148,0.3377571,0.0000171183,0.004388558,0.5176302],"genre_scores_gemma":[0.5806726,0.000004342648,0.04139869,0.0405222,0.005050833,0.3223065,0.0001219409,0.000489165,0.009433739],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5081964,"threshold_uncertainty_score":0.9999341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1228165304629288,"score_gpt":0.3889010005422835,"score_spread":0.2660844700793548,"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."}}