{"id":"W2071671593","doi":"10.1371/journal.pone.0105036","title":"Movement Coordination during Conversation","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Queen's University","keywords":"Perception; Motor coordination; Conversation; Psychology; Movement (music); Cognitive psychology; Communication; Coordination game; Neuroscience","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001245896,0.00005337119,0.0000726767,0.00006239466,0.00006921124,0.00001562081,0.00004196946,0.00005064388,0.00331595],"category_scores_gemma":[0.00006189886,0.00005980477,0.00001449441,0.0001078669,0.00001163855,0.0001124766,0.000008592243,0.00005046892,0.000822856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006970957,"about_ca_system_score_gemma":0.000004597743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000171606,"about_ca_topic_score_gemma":0.000004136215,"domain_scores_codex":[0.9993951,0.00006336511,0.0001430322,0.0001337246,0.0001732351,0.00009148492],"domain_scores_gemma":[0.9996155,0.00002433637,0.00008406801,0.0001409757,0.000104457,0.0000306925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001967596,0.00552807,0.5084869,0.0002594439,0.0007497587,0.000002145024,0.0102613,0.0001781159,0.2795523,0.1741872,0.006355317,0.01424277],"study_design_scores_gemma":[0.002508554,0.0001398303,0.9311274,0.0000480695,0.00007470034,5.464563e-7,0.0005903908,0.01552839,0.04654286,0.001305568,0.001874161,0.0002595114],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9649246,0.000006135122,0.01257521,0.00211845,0.0001696619,0.0001819272,0.000001265533,0.0001312147,0.01989158],"genre_scores_gemma":[0.9892317,0.000002201025,0.0003523401,0.0006255425,0.0001596556,0.00003345217,0.00004532336,0.00001050181,0.009539276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4226406,"threshold_uncertainty_score":0.9999551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05154484920371924,"score_gpt":0.2533168546171849,"score_spread":0.2017720054134657,"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."}}