{"id":"W4200239953","doi":"10.1016/j.actpsy.2021.103475","title":"“You're wrong, I'll switch, I'm wrong, I'll stay”: How task-switching strategies are modulated by a partner in a multi-task learning protocol","year":2021,"lang":"en","type":"article","venue":"Acta Psychologica","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dyad; Task (project management); Context (archaeology); Schedule; Psychology; Social psychology; Sequence (biology); Task switching; Social learning; Computer science; Cognitive psychology; Cognition","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003442177,0.0007289674,0.0007740889,0.0001739495,0.0006033219,0.0004090777,0.0007776506,0.0004426086,0.0004046477],"category_scores_gemma":[0.0004379688,0.0005676134,0.0002116698,0.001006945,0.000323276,0.0007640822,0.0003545517,0.001680952,0.0001392571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007814736,"about_ca_system_score_gemma":0.00004962344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004061614,"about_ca_topic_score_gemma":0.0002096238,"domain_scores_codex":[0.9946067,0.0008500569,0.000665663,0.002112234,0.000511933,0.001253423],"domain_scores_gemma":[0.9981599,0.0001891552,0.0005275785,0.0007908058,0.0001171381,0.00021536],"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":[0.0002328807,0.001487741,0.0490941,0.00004148946,0.00002277681,0.001089608,0.0008022969,0.00003615148,0.9319512,0.00001546284,0.01281733,0.002408976],"study_design_scores_gemma":[0.01962391,0.003556463,0.5356992,0.0007072954,0.0001736958,0.0006599118,0.01834126,0.001008841,0.20644,0.001743035,0.2069589,0.005087364],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788423,0.00007550268,0.00008734487,0.005846986,0.0003697285,0.01165186,0.00004427752,0.0004798691,0.002602106],"genre_scores_gemma":[0.97988,0.00005172537,0.0002066778,0.002036685,0.00007239999,0.01236296,0.00001750929,0.00006763182,0.005304405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7255112,"threshold_uncertainty_score":0.9996775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1899287893269279,"score_gpt":0.4146349774011145,"score_spread":0.2247061880741865,"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."}}