{"id":"W4390585554","doi":"10.1177/03010066231223440","title":"Eyes meet, hands greet: The art of timing in social interactions","year":2024,"lang":"en","type":"article","venue":"Perception","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gaze; Handshake; Eye contact; Psychology; Ceremony; Action (physics); Shake; Communication; Cognitive psychology; Computer science; History; Psychoanalysis; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006638707,0.000290662,0.0001645008,0.0008058029,0.0007503458,0.001787376,0.0003313484,0.0005386834,0.003023715],"category_scores_gemma":[0.005522376,0.0002930936,0.000193133,0.0004812337,0.00208911,0.001948648,0.001377403,0.000716738,0.0003958257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004289865,"about_ca_system_score_gemma":0.0003435752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001349391,"about_ca_topic_score_gemma":0.001896177,"domain_scores_codex":[0.9992059,0.0002927754,0.00003383706,0.0001899149,0.0002218402,0.00005587994],"domain_scores_gemma":[0.997615,0.00119633,0.0006788608,0.0002114089,0.0001698237,0.0001286845],"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":[0.001738201,0.0001158652,0.07071172,0.0009308878,0.0002107409,0.001514312,0.06881108,0.003002876,0.420343,0.08024534,0.00375512,0.3486207],"study_design_scores_gemma":[0.00006935607,0.001121638,0.719017,0.0007632658,0.0002437705,0.003889349,0.0372377,0.00980141,0.05646065,0.08072133,0.09025765,0.0004167254],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8770351,0.004595437,0.06301276,0.001188765,0.0004135759,0.00005434044,0.0002457811,0.0002539317,0.05320032],"genre_scores_gemma":[0.9870112,0.0006111025,0.009682285,0.0001305582,0.00008743582,0.00002386681,0.00005348699,0.00008209606,0.002318091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003023715,"threshold_uncertainty_score":0.01011533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0811773352779662,"score_gpt":0.3987730572128791,"score_spread":0.3175957219349129,"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."}}