{"id":"W1830656823","doi":"10.1167/15.12.1225","title":"How do we make social decisions? Gaze strategies used to predict and optimize social information during conversation.","year":2015,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Gaze; Conversation; Psychology; Social cue; Task (project management); Cognitive psychology; Turn-taking; Nonverbal communication; Social psychology; Communication","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":[0.001000693,0.0003694008,0.0002268806,0.0006311605,0.0004265231,0.0009684837,0.0002107554,0.0006052156,0.001216731],"category_scores_gemma":[0.006844747,0.0002550456,0.0002741453,0.0002208743,0.0004420008,0.001039653,0.0005408383,0.0004823591,0.0003200257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003960408,"about_ca_system_score_gemma":0.0002815548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006119958,"about_ca_topic_score_gemma":0.005618803,"domain_scores_codex":[0.9993482,0.0002274678,0.00003164721,0.0001801422,0.0001314806,0.00008100534],"domain_scores_gemma":[0.9981232,0.0005585047,0.0006142854,0.0001482336,0.0003781209,0.0001775052],"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":[0.0007431296,0.0000907103,0.334159,0.0003028727,0.0003111906,0.0005324933,0.01599564,0.001504989,0.5039323,0.002302672,0.00153469,0.1385903],"study_design_scores_gemma":[0.00002425527,0.0004121696,0.9446511,0.0001168501,0.0001698759,0.0004404712,0.006347496,0.01043188,0.03095132,0.002414657,0.003941618,0.00009846356],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808745,0.001519024,0.0119915,0.0004230824,0.00005274195,0.00004415038,0.0001274907,0.00008041796,0.004886959],"genre_scores_gemma":[0.9968341,0.0003106234,0.002132134,0.00004382062,0.000009132586,0.00001441864,0.00004949834,0.0000127022,0.000593589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006119958,"threshold_uncertainty_score":0.01216871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02513158525756951,"score_gpt":0.3004969650771557,"score_spread":0.2753653798195861,"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."}}