{"id":"W3128063613","doi":"10.2139/ssrn.3749694","title":"Human Plasma IgG1 Repertoires are Simple, Unique, and Dynamic","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Blood groups and transfusion","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"IONICS Mass Spectrometry (Canada)","funders":"","keywords":"Simple (philosophy); Computer science; Computational biology; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002977512,0.0001517376,0.0002648378,0.00006137762,0.0002475313,0.00003085472,0.00008294208,0.00008988559,0.00005301101],"category_scores_gemma":[0.00003173088,0.0001211555,0.00009174461,0.0001330352,0.00004790207,0.00008652543,0.00002413026,0.001646964,0.000006934772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001653513,"about_ca_system_score_gemma":0.0004007842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004716817,"about_ca_topic_score_gemma":0.0009200036,"domain_scores_codex":[0.9982653,0.00003902772,0.0002452246,0.00022547,0.0002042518,0.001020706],"domain_scores_gemma":[0.9995042,0.00001474966,0.00009107262,0.000114863,0.00005241811,0.0002226656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003199915,0.001355458,0.2061246,0.0008021,0.003452649,0.0017098,0.004270049,0.00005070098,0.2213956,0.1897813,0.003892553,0.3639653],"study_design_scores_gemma":[0.05593527,0.03328032,0.3466014,0.001345326,0.003610945,0.04632844,0.02382485,0.01190618,0.01112184,0.4076022,0.05506626,0.00337706],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861867,0.002605838,0.0005461312,0.009856724,0.00003024504,0.0001462019,0.000002674379,0.0000564365,0.0005690916],"genre_scores_gemma":[0.9948789,0.003549258,0.00005664715,0.0008405732,0.0002007552,0.000002155171,0.000007985769,0.00003149204,0.0004321699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3605882,"threshold_uncertainty_score":0.7155329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00842759442831391,"score_gpt":0.2483666301569743,"score_spread":0.2399390357286604,"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."}}