{"id":"W6910500773","doi":"10.4224/crm.2021.ncap-1","title":"NCAP-1: Reference Material for SARS-CoV-2 Nucleocapsid Protein","year":2021,"lang":"en","type":"other","venue":"NRC Digital Repository","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Antigen; Tris; Buffer (optical fiber); Sodium; Reference data","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":[0.002485442,0.001900276,0.001064537,0.008657116,0.001606077,0.002161155,0.004563509,0.001531278,0.2306929],"category_scores_gemma":[0.007149793,0.0007723458,0.0005638844,0.008897753,0.0005839579,0.002319999,0.001887426,0.001376589,0.2699298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002663388,"about_ca_system_score_gemma":0.004499454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02323381,"about_ca_topic_score_gemma":0.02592845,"domain_scores_codex":[0.9970859,0.0001752835,0.0002231421,0.0003992557,0.001940592,0.0001759057],"domain_scores_gemma":[0.9949715,0.0004890068,0.0003117987,0.0009060989,0.003036062,0.0002854292],"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":[0.0006955484,0.0002831703,0.001422907,0.001371256,0.00002596541,0.0003004629,0.0001713861,0.0006953236,0.03404477,0.007532522,0.7849638,0.1684928],"study_design_scores_gemma":[0.00003314603,0.00003635892,0.001467937,0.0001650483,0.00001495053,0.0001642808,0.00003922903,0.0003880764,0.02365897,0.0007427956,0.9732568,0.00003251959],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.005526989,0.001609831,0.02780545,0.0007212744,0.0009574196,0.0006942099,0.706251,0.01585214,0.2405816],"genre_scores_gemma":[0.008585946,0.001874373,0.03440253,0.0002394739,0.0001126808,0.0005776,0.7752696,0.00659912,0.1723387],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2306929,"threshold_uncertainty_score":0.7717445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03002278440422902,"score_gpt":0.2707057938382977,"score_spread":0.2406830094340687,"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."}}