{"id":"W6891661035","doi":"10.4224/crm.2023.omic-1","title":"OMIC-1: Reference Material for SARS-CoV-2 Omicron BA.4/5 Spike Glycoprotein","year":2023,"lang":"en","type":"other","venue":"NRC Digital Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Spike (software development); Glycoprotein; Sodium; HEPES","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002627207,0.002261974,0.001126005,0.008617559,0.001515471,0.002053419,0.004041304,0.002036546,0.09894931],"category_scores_gemma":[0.005506203,0.0009456726,0.000651943,0.007028468,0.0005630232,0.001640457,0.001592325,0.001242301,0.1346439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002026082,"about_ca_system_score_gemma":0.004369616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01035068,"about_ca_topic_score_gemma":0.015089,"domain_scores_codex":[0.996685,0.0002956543,0.0002659786,0.0003701931,0.002132029,0.0002511005],"domain_scores_gemma":[0.9966497,0.0002651044,0.0002724017,0.0006229808,0.001984139,0.0002056672],"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":[0.001561144,0.0007419736,0.002134903,0.002050815,0.00005027821,0.0004713659,0.0002341267,0.001075882,0.1743587,0.0114517,0.5555058,0.2503633],"study_design_scores_gemma":[0.00008493326,0.0001739751,0.002608574,0.0002787301,0.00003880629,0.0002871757,0.00005715253,0.0007673494,0.09382005,0.0009727491,0.9008653,0.00004520775],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01917987,0.004551009,0.07260129,0.001212504,0.00165689,0.002488199,0.5961146,0.01971442,0.2824813],"genre_scores_gemma":[0.01858709,0.002880192,0.06552149,0.0005211699,0.0001999851,0.001093201,0.7562148,0.005141533,0.1498406],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09894931,"threshold_uncertainty_score":0.3310184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02889505207760747,"score_gpt":0.2727266496769158,"score_spread":0.2438315975993083,"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."}}