{"id":"W2108559607","doi":"10.5539/ass.v8n3p34","title":"Intercultural Relationship, Prejudice and Ethnocentrism in a Computer-Mediated Communication (CMC): A Time-Series Experiment","year":2012,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Attachment and Relationship Dynamics","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ethnocentrism; Asynchronous communication; Psychology; Computer-mediated communication; Prejudice (legal term); Social psychology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00281434,0.0003367182,0.0003661079,0.0002787973,0.0009296364,0.0007349797,0.0005049175,0.0004878715,0.002662891],"category_scores_gemma":[0.00839135,0.000226246,0.0002129072,0.000199973,0.0007544836,0.0005656626,0.0009405316,0.0007866949,0.0002395621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003710477,"about_ca_system_score_gemma":0.0003729413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004950794,"about_ca_topic_score_gemma":0.0006859752,"domain_scores_codex":[0.9983616,0.0009989486,0.00008557487,0.0001931649,0.0002516567,0.0001089926],"domain_scores_gemma":[0.9903623,0.006285796,0.001045797,0.001021015,0.0004029592,0.0008822452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.03429166,0.1242326,0.2596314,0.0007979629,0.0003252346,0.001515148,0.127745,0.002309297,0.3169361,0.003618522,0.001000669,0.1275963],"study_design_scores_gemma":[0.002745855,0.1028044,0.7280592,0.0001106836,0.0004409599,0.0009083427,0.03743146,0.01111358,0.1073978,0.002647403,0.00611141,0.000229003],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994622,0.000005560263,0.0001675624,0.000006297618,0.000002848633,0.00005187648,0.000007360085,0.000001868194,0.0002944274],"genre_scores_gemma":[0.9979119,0.00002641188,0.001080043,0.00002599122,0.00001194471,0.0002478604,0.00003491263,0.000002873236,0.0006581596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00281434,"threshold_uncertainty_score":0.01488382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02511399037454779,"score_gpt":0.3795115819448698,"score_spread":0.354397591570322,"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."}}