{"id":"W3083347998","doi":"10.17504/protocols.io.bjgekjte","title":"nCoV-2019 McGill RT Protocol, Lunascript v1","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill Genome Centre","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Protocol (science); Computer science; Medicine; Virology; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003311537,0.0005337828,0.0006505293,0.0001036294,0.000171981,0.0004007286,0.002816872,0.0004872832,0.0002514328],"category_scores_gemma":[0.000009657351,0.0004624236,0.0002908148,0.0002699938,0.00006628944,0.0002464956,0.004926961,0.001105095,0.0007977312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008457269,"about_ca_system_score_gemma":0.0004534016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001693991,"about_ca_topic_score_gemma":0.000009587564,"domain_scores_codex":[0.9965382,0.0001146634,0.0006831952,0.001443077,0.0006470609,0.0005738399],"domain_scores_gemma":[0.9971914,0.00007474477,0.0003153606,0.001813298,0.0001711916,0.0004340297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004506479,0.0001952993,0.00009004436,0.000387497,0.0001290317,0.0004385896,0.0001787534,0.0001767623,0.00002897104,0.1791985,0.6585305,0.1606009],"study_design_scores_gemma":[0.0004346379,0.0001048683,0.00004204221,0.0001228644,0.00001794473,0.00002571247,0.000005110234,0.513803,0.0000757439,0.0435517,0.4411324,0.0006839371],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000005626386,0.00001665395,0.8151507,0.002939812,0.001611189,0.0346892,0.00004058539,0.0008388421,0.1447074],"genre_scores_gemma":[0.0864864,0.00006853267,0.608869,0.03831293,0.003740547,0.2139272,0.0002873222,0.0002870801,0.04802103],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5136263,"threshold_uncertainty_score":0.9999803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05615540053905445,"score_gpt":0.2920019625202905,"score_spread":0.235846561981236,"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."}}