{"id":"W4411643745","doi":"10.1017/s0272263125100922","title":"Bayesian estimation in multiple comparisons","year":2025,"lang":"en","type":"article","venue":"Studies in Second Language Acquisition","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Bayesian probability; Estimation; Bayes estimator; Statistics; Computer science; Econometrics; Mathematics; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004421338,0.0001231622,0.0003185411,0.0002108089,0.00006086884,0.00001697262,0.00008938794,0.00006377307,0.000361557],"category_scores_gemma":[0.001559402,0.0001142848,0.0000303136,0.0003569296,0.00009661526,0.00008532607,0.00006630795,0.0001537649,0.000007513075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001270391,"about_ca_system_score_gemma":0.00001735089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004522048,"about_ca_topic_score_gemma":0.001129024,"domain_scores_codex":[0.9989586,0.0001626117,0.000373212,0.0002126432,0.00009098997,0.0002019528],"domain_scores_gemma":[0.9979755,0.001711044,0.00006570036,0.0001892898,0.00003901671,0.00001949956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001918077,0.0007300916,0.03111796,0.002201391,0.0001936648,0.0002865308,0.03270372,0.00007389544,0.001793619,0.7495183,0.01683188,0.1643571],"study_design_scores_gemma":[0.001583268,0.00005563831,0.035799,0.0008479463,0.00003274372,0.000004100218,0.01788367,0.02627764,0.001663314,0.9154618,0.0001009313,0.0002899065],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.137937,0.001458809,0.8507196,0.0001976753,0.0003016918,0.0003713339,0.00003548428,0.00006208578,0.008916244],"genre_scores_gemma":[0.7292424,0.00001194939,0.2703367,0.0002200747,0.00001661994,0.00005422551,0.000008905058,0.000005724273,0.0001033732],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5913054,"threshold_uncertainty_score":0.46604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06067515629988454,"score_gpt":0.4214756330067261,"score_spread":0.3608004767068416,"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."}}