{"id":"W4230282198","doi":"10.31234/osf.io/mqw4b","title":"Individual differences in multiple object tracking, attentional cueing, and age account for variability in the capacity of audiovisual integration","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Multisensory perception and integration","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Cognitive psychology; Psychology; Perception; Task (project management); Working memory; Cognition; Object (grammar); Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002891448,0.0005175963,0.0004775538,0.000793765,0.0003358124,0.0009231018,0.0007080775,0.0004684272,0.002825849],"category_scores_gemma":[0.01425339,0.0002928701,0.0004040797,0.0004775087,0.000599942,0.0008667459,0.0006680396,0.0005653331,0.0003729968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000194585,"about_ca_system_score_gemma":0.0002320782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002643015,"about_ca_topic_score_gemma":0.002557055,"domain_scores_codex":[0.9989373,0.000157994,0.0001327424,0.0004357761,0.0002612177,0.00007489503],"domain_scores_gemma":[0.9903655,0.005049572,0.001646173,0.001958301,0.0006137723,0.0003666974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008472258,0.0002466993,0.9288311,0.0002227827,0.0005387478,0.0003419475,0.002740145,0.001488828,0.02132127,0.001135472,0.00127757,0.04100828],"study_design_scores_gemma":[0.000009295883,0.0001439329,0.9917775,0.00002523018,0.00009435632,0.0004038253,0.0002753543,0.001505357,0.00284095,0.001920235,0.0009783512,0.00002556252],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821864,0.001337184,0.01179888,0.0001669194,0.000083421,0.0001028645,0.0008147547,0.00007122296,0.00343834],"genre_scores_gemma":[0.9967801,0.000145689,0.00192738,0.00006058756,0.00001557881,0.00005105582,0.0004281224,0.00003780854,0.0005537801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002891448,"threshold_uncertainty_score":0.01529163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2401740974597918,"score_gpt":0.3834768521099352,"score_spread":0.1433027546501434,"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."}}