{"id":"W4416747828","doi":"10.1109/intcec65580.2025.11255828","title":"Position Bias Across LLM Model Families","year":2025,"lang":"","type":"article","venue":"","topic":"Topic Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Suite; Process (computing); Position (finance); Value (mathematics); Position paper","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03648299,0.001257974,0.001530542,0.002407196,0.00187364,0.004735243,0.002689974,0.002452013,0.01127538],"category_scores_gemma":[0.1588148,0.0008146848,0.002012545,0.002215845,0.002010867,0.00722594,0.002881504,0.004314999,0.002221353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003872026,"about_ca_system_score_gemma":0.001782638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01246756,"about_ca_topic_score_gemma":0.01517195,"domain_scores_codex":[0.9793617,0.01421672,0.0008516207,0.002842191,0.002022814,0.0007050643],"domain_scores_gemma":[0.8042761,0.1746042,0.004406697,0.01124049,0.004227346,0.001245146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004654979,0.0006355061,0.1647695,0.001243401,0.001650048,0.0009226371,0.006431664,0.2931918,0.003229873,0.297167,0.03906585,0.1870378],"study_design_scores_gemma":[0.0003700383,0.0002707315,0.01282454,0.0002947219,0.0003294657,0.0004010091,0.001482407,0.6873746,0.002196365,0.2804725,0.01385667,0.0001269265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6510139,0.005090172,0.2892456,0.009489572,0.0003046842,0.0005218658,0.005180825,0.002755417,0.03639797],"genre_scores_gemma":[0.9609814,0.0006162994,0.02886285,0.0009931203,0.0001158556,0.0003191833,0.003870646,0.0006166468,0.003624093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03648299,"threshold_uncertainty_score":0.1929428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05111061156713082,"score_gpt":0.3110795303689483,"score_spread":0.2599689188018175,"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."}}