{"id":"W4313545664","doi":"10.3758/s13414-022-02650-9","title":"The effect of memory load on object reconstruction: Insights from an online mouse-tracking task","year":2023,"lang":"en","type":"article","venue":"Attention Perception & Psychophysics","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; James S. McDonnell Foundation","keywords":"Object (grammar); Computer science; Task (project management); Working memory; Video tracking; Perception; Interference theory; Short-term memory; Cognition; Psychology; Memory model; Cognitive psychology; Visual short-term memory; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005265077,0.0008548847,0.0006536545,0.0003537147,0.0002730817,0.001292798,0.0009485165,0.0008322483,0.004223295],"category_scores_gemma":[0.009183986,0.0004565691,0.0002314458,0.0003640337,0.0004276805,0.001528323,0.0008558122,0.000892122,0.0006040251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000240072,"about_ca_system_score_gemma":0.0004114841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001836198,"about_ca_topic_score_gemma":0.001477671,"domain_scores_codex":[0.9996141,0.00005489585,0.00004519349,0.00009217415,0.0001439901,0.00004979374],"domain_scores_gemma":[0.9944751,0.003687147,0.0007894673,0.0005354401,0.0001851725,0.0003277306],"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":[0.006586578,0.0009045057,0.003551476,0.0001458868,0.00006034792,0.0001197689,0.0001942789,0.00103243,0.9619727,0.000272767,0.0002265084,0.02493277],"study_design_scores_gemma":[0.001112878,0.006680028,0.5129195,0.00008727617,0.000534167,0.001112936,0.0004562938,0.07102663,0.3977395,0.006479193,0.001636432,0.0002151701],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930773,0.0001737176,0.004874197,0.0000980743,0.00002943553,0.0000310849,0.0002055958,0.000100288,0.001410274],"genre_scores_gemma":[0.9952774,0.0001415713,0.002755261,0.000107681,0.0000268261,0.00003482953,0.0002693491,0.000192496,0.00119453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004223295,"threshold_uncertainty_score":0.01412833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08761493487514507,"score_gpt":0.3680444007531944,"score_spread":0.2804294658780493,"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."}}