{"id":"W6908363598","doi":"10.25916/sut.26215676","title":"Cultural congruence and rating scale biases in homepages","year":2024,"lang":"en","type":"other","venue":"Swinburne Research Bank (Swinburne University of Technology)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Congruence (geometry); Scale (ratio); Rating scale; Affect (linguistics); Appeal; Cultural bias","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":[0.0150325,0.0002001436,0.0002639113,0.001823076,0.0006487871,0.001391024,0.0005168535,0.0002103425,0.004246744],"category_scores_gemma":[0.06756193,0.0001494035,0.0004033733,0.001487787,0.0009500926,0.0007945415,0.001017803,0.0004571231,0.0003391162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006880203,"about_ca_system_score_gemma":0.0008334816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0343796,"about_ca_topic_score_gemma":0.05295612,"domain_scores_codex":[0.9939404,0.002748722,0.0005951778,0.0004402281,0.002019797,0.0002556968],"domain_scores_gemma":[0.9436809,0.02718539,0.01020269,0.006325997,0.01179196,0.0008130367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004235319,0.00009495281,0.9126197,0.0003337864,0.000131836,0.0002386897,0.0307493,0.0001197886,0.004911185,0.00115786,0.0007692473,0.04845019],"study_design_scores_gemma":[0.00001659471,0.00007997642,0.9855468,0.00009140033,0.00004293873,0.0001381177,0.009903254,0.0002690972,0.001711192,0.000394104,0.001781079,0.0000253714],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907934,0.0002134651,0.001011534,0.00009435965,0.0000245788,0.00007496594,0.0002746875,0.00001022636,0.007502764],"genre_scores_gemma":[0.99827,0.00008469386,0.0006737399,0.00003857485,0.00001006348,0.00005175934,0.0001828707,0.0000101203,0.0006780486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0343796,"threshold_uncertainty_score":0.07950044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04939774376958033,"score_gpt":0.3385709773605954,"score_spread":0.2891732335910151,"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."}}