{"id":"W3210057243","doi":"10.1037/xhp0000935","title":"Interpersonal coordination in joint multiple object tracking.","year":2021,"lang":"en","type":"article","venue":"Journal of Experimental Psychology Human Perception & Performance","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft","keywords":"Task (project management); Interpersonal communication; PsycINFO; Group cohesiveness; Social psychology; Key (lock); Psychology; Boosting (machine learning); Cognitive psychology; Computer science; Computer security; Artificial intelligence; Political science; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.000432552,0.0001331355,0.0002310893,0.0002669656,0.0001347279,0.0000897566,0.0003766397,0.00008999043,0.0002163125],"category_scores_gemma":[0.0000310691,0.0001286664,0.0001140945,0.0003165819,0.00008189549,0.00114129,0.00007433295,0.0003273815,0.00004352387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000226465,"about_ca_system_score_gemma":0.00006465856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007171639,"about_ca_topic_score_gemma":0.00001074251,"domain_scores_codex":[0.9985806,0.00009957077,0.000595688,0.000251579,0.000257015,0.0002155496],"domain_scores_gemma":[0.9991302,0.0000197553,0.0002951496,0.0002832588,0.0001765761,0.0000950715],"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":[0.00003825137,0.0007725855,0.004903072,0.000006811138,0.00001363116,0.00002111712,0.004554207,0.00005107473,0.9676903,0.0006501731,0.001835144,0.01946365],"study_design_scores_gemma":[0.002887213,0.001266733,0.9062495,0.0001370872,0.000005747128,0.001176356,0.001906753,0.009263314,0.07417352,0.0002711487,0.002356873,0.0003057118],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841195,0.0002025569,0.01289183,0.001086711,0.0003338653,0.0000775333,9.658958e-7,0.00001748426,0.001269507],"genre_scores_gemma":[0.9949779,0.00005183621,0.003835903,0.0008647146,0.0001250846,0.00000848903,0.000005303024,0.000008424916,0.0001223662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9013464,"threshold_uncertainty_score":0.5246863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06156363334131992,"score_gpt":0.3673670030626983,"score_spread":0.3058033697213783,"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."}}