{"id":"W2110184774","doi":"10.1016/j.chb.2013.06.004","title":"Attitude moderation: A comparison of online chat and face-to-face conversation","year":2013,"lang":"en","type":"article","venue":"Computers in Human Behavior","topic":"Social and Intergroup Psychology","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Conversation; Face-to-face; Moderation; Psychology; Bridging (networking); Perspective (graphical); Social psychology; Computer-mediated communication; Face (sociological concept); Communication; Computer science; World Wide Web; The Internet; Linguistics; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001053564,0.00007500163,0.0001820011,0.00008628386,0.0001388791,0.0000449724,0.000163081,0.00008669506,0.0001368128],"category_scores_gemma":[0.00001345083,0.0000817102,0.00002623038,0.0001113811,0.0001926055,0.0001489522,0.00005141411,0.00009126376,0.0000138969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006148273,"about_ca_system_score_gemma":0.00001493257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001483913,"about_ca_topic_score_gemma":0.001521979,"domain_scores_codex":[0.9992067,0.00009147661,0.0002318651,0.0001789622,0.0001386313,0.000152324],"domain_scores_gemma":[0.999653,0.00004677449,0.00007338354,0.00009491396,0.00006187887,0.00006998375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001731373,0.001145501,0.5945922,0.00002163332,0.00001834285,0.000002912353,0.3154002,0.0001680927,0.00845453,0.009649491,0.005062626,0.06546722],"study_design_scores_gemma":[0.000596788,0.0002186851,0.9821698,0.00004383803,0.00001387871,4.220564e-7,0.01395686,0.001388874,0.000160725,0.0007545993,0.0005102232,0.0001852755],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955469,0.00003258364,0.001899364,0.001195275,0.0004536259,0.0004821058,0.000002571669,0.00002919945,0.0003584022],"genre_scores_gemma":[0.9980955,0.000005238061,0.001428012,0.0002029004,0.0001037971,0.00003818389,0.000008766686,0.000005339703,0.0001123175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3875777,"threshold_uncertainty_score":0.3332045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07342481000365235,"score_gpt":0.4086368095848075,"score_spread":0.3352119995811551,"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."}}