{"id":"W4382750918","doi":"10.1177/20543581231173534","title":"Abstracts of the 3rd Annual Toronto Complement Conference","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Kidney Health and Disease","topic":"Transgenic Plants and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Complement (music); Library science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001024645,0.00004307526,0.0000675598,0.00001495459,0.00009103025,0.000006974709,0.0001033396,0.00001674203,0.00002397867],"category_scores_gemma":[0.0004371183,0.00003171289,0.00003631279,0.00003074916,0.00004875889,0.000003089701,0.000007253179,0.00003297599,7.206671e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001435063,"about_ca_system_score_gemma":0.0138984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002438769,"about_ca_topic_score_gemma":0.009723446,"domain_scores_codex":[0.9995388,0.00001850395,0.0001811277,0.00005970116,0.00005669886,0.0001451891],"domain_scores_gemma":[0.9935676,0.00000384167,0.00009847979,0.00009633039,0.00005940715,0.006174305],"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":[0.00005748182,0.00002292833,0.01443436,0.0001067872,0.00002851867,0.000008095327,0.0003737148,0.00002054657,0.001717813,0.0009674115,0.9790518,0.00321053],"study_design_scores_gemma":[0.0005165629,0.000124873,0.09954678,0.00006784992,0.00001501222,0.000012192,0.000623762,0.00001000479,0.0002354354,0.0002682907,0.8985029,0.00007633825],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9016598,0.004211367,0.0001099929,0.08725966,0.0003166615,0.0002995213,0.005459995,0.000003084604,0.0006799181],"genre_scores_gemma":[0.9911973,0.0003610827,0.00002477858,0.008207052,0.00006009932,0.000001677742,0.00005519669,0.00000313227,0.00008971174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08953746,"threshold_uncertainty_score":0.9916919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01880661259564145,"score_gpt":0.2807267713196656,"score_spread":0.2619201587240242,"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."}}