{"id":"W4411136978","doi":"10.1186/s12859-025-06160-x","title":"SEQSIM: A novel bioinformatics tool for comparisons of promoter regions—a case study of calcium binding protein spermatid associated 1 (CABS1)","year":2025,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Spermatid; DNA microarray; Computational biology; Calcium-binding protein; Bioinformatics; Biology; Calcium; Genetics; Medicine; Gene; Gene expression; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002790948,0.00142951,0.0009165354,0.002017321,0.0009821234,0.001006845,0.002137296,0.001022063,0.006710347],"category_scores_gemma":[0.004926672,0.0006861786,0.001406271,0.002035033,0.0006756303,0.001128417,0.001697288,0.001345502,0.002127663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006970483,"about_ca_system_score_gemma":0.001619058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002200166,"about_ca_topic_score_gemma":0.004304308,"domain_scores_codex":[0.9988637,0.0002457027,0.0001275294,0.0003775891,0.0003130447,0.00007243479],"domain_scores_gemma":[0.9977424,0.00147703,0.0002292988,0.0001555856,0.0002463884,0.0001492376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005044785,0.001132704,0.06139192,0.007861586,0.001620202,0.005297435,0.004977918,0.1228015,0.2796974,0.02796359,0.1645961,0.3176148],"study_design_scores_gemma":[0.0007090943,0.0005752416,0.01496209,0.0003062524,0.0002934001,0.001541199,0.001067534,0.7493488,0.0879932,0.02549954,0.1174521,0.0002515116],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1596883,0.00110853,0.5940813,0.0007736776,0.000332213,0.0004418154,0.0400981,0.1988792,0.004596809],"genre_scores_gemma":[0.2165003,0.0005678165,0.7123531,0.0004834115,0.0000619063,0.001011124,0.0534413,0.01368073,0.00190029],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006710347,"threshold_uncertainty_score":0.02244836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0298662468560139,"score_gpt":0.2836415420908401,"score_spread":0.2537752952348262,"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."}}