{"id":"W4417250529","doi":"10.1109/bibe66822.2025.00006","title":"Message from the Program Chairs","year":2025,"lang":"","type":"article","venue":"","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Excellence; Event (particle physics); Pleasure; Bridging (networking); Quarter (Canadian coin)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005744282,0.0009271677,0.0008790311,0.000732981,0.003498224,0.006039482,0.001727617,0.01024343,0.07778002],"category_scores_gemma":[0.02014715,0.0005602171,0.000899161,0.000822522,0.0008970475,0.002956972,0.003287888,0.01867273,0.05370142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002772554,"about_ca_system_score_gemma":0.01034415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005156219,"about_ca_topic_score_gemma":0.007717708,"domain_scores_codex":[0.9958498,0.000688136,0.0001691414,0.0006542942,0.001881361,0.000757168],"domain_scores_gemma":[0.9855829,0.001079841,0.0004756663,0.0004412789,0.006627427,0.005792801],"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":[0.00001389686,0.00001111648,0.00006365273,0.00001674342,0.000001377786,0.00001471437,0.00001216459,0.000008923386,0.00002849425,0.000551938,0.9958904,0.003386563],"study_design_scores_gemma":[0.00001530223,0.00002324743,0.000423058,0.0000632898,0.000005227587,0.00004966755,0.0001186797,0.00005841578,0.0001496609,0.0005527101,0.9985261,0.00001457339],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0006914649,0.002004769,0.00137718,0.6434682,0.3263153,0.0001499217,0.001059139,0.0005749793,0.024359],"genre_scores_gemma":[0.008071464,0.00221205,0.002024537,0.6139024,0.06783521,0.0005646137,0.001142575,0.0006974599,0.3035497],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.07778002,"threshold_uncertainty_score":0.2602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01297181973006145,"score_gpt":0.3034794914035832,"score_spread":0.2905076716735217,"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."}}