{"id":"W2293600830","doi":"10.3758/s13421-016-0600-4","title":"Effects of dividing attention on memory for declarative and procedural aspects of tool use","year":2016,"lang":"en","type":"article","venue":"Memory & Cognition","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Procedural memory; Declarative memory; Psychology; Cognitive psychology; Set (abstract data type); Descriptive knowledge; Encoding (memory); Procedural knowledge; Semantic memory; Motor skill; Cognitive science; Cognition; Developmental psychology; Computer science; Neuroscience; Knowledge base; Artificial intelligence; Programming language; Knowledge management","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001614721,0.00009958463,0.0001549253,0.000118115,0.00006421594,0.000009227572,0.00003186317,0.00008699251,0.00009012813],"category_scores_gemma":[0.0004547481,0.00007886612,0.00005048972,0.0001057504,0.00006211665,0.000312042,0.000009423533,0.00003762472,0.00001572618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003258298,"about_ca_system_score_gemma":0.00001880855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003863006,"about_ca_topic_score_gemma":0.00000467265,"domain_scores_codex":[0.9991994,0.0001044842,0.0002498611,0.0002065453,0.0001307336,0.0001090068],"domain_scores_gemma":[0.9988344,0.0005216766,0.0002536807,0.00009184108,0.000272059,0.00002628755],"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":[0.001151343,0.0004929316,0.003732433,0.0006364316,0.0001966043,0.000003101471,0.002314478,0.000003921403,0.892098,0.01520106,0.002464764,0.08170494],"study_design_scores_gemma":[0.006305523,0.001018957,0.498947,0.0006383962,0.0001924162,0.000008707256,0.0006755299,0.0001455741,0.4880128,0.003535866,0.0002538121,0.0002653771],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9712367,0.00001953314,0.02610166,0.0002266961,0.0003526704,0.0007973344,0.00002302599,0.00003552569,0.001206831],"genre_scores_gemma":[0.9985555,0.000009699589,0.0001440254,0.0002107051,0.00007473821,0.000115201,0.00003788589,0.00001496213,0.0008372642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4952146,"threshold_uncertainty_score":0.3216067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04371801607994907,"score_gpt":0.3031286483232271,"score_spread":0.259410632243278,"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."}}