{"id":"W2141143407","doi":"10.7717/peerj.161","title":"The controlled imitation task: a new paradigm for studying self-other control","year":2013,"lang":"en","type":"article","venue":"PeerJ","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Cued speech; Imitation; Psychology; Task (project management); Action (physics); Cognitive psychology; Representation (politics); Control (management); Computer science; Social psychology; 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":[{"model":"gemma","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001019681,0.001197489,0.0007600801,0.000552728,0.0003635235,0.0005412362,0.001414972,0.001128458,0.002554997],"category_scores_gemma":[0.003561825,0.0004532706,0.0004679189,0.0003658154,0.0007728132,0.000942952,0.001312031,0.001840852,0.0003373896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002759489,"about_ca_system_score_gemma":0.0004283332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005217161,"about_ca_topic_score_gemma":0.0008861844,"domain_scores_codex":[0.9987691,0.000260559,0.0001468465,0.0003879164,0.0003216345,0.0001139653],"domain_scores_gemma":[0.9977747,0.0009200133,0.0005540678,0.0003203187,0.00013816,0.000292743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008095556,0.0007208813,0.0009332407,0.0003782544,0.00003978348,0.0001277576,0.0003711683,0.0001575016,0.9778382,0.001240275,0.0003636246,0.01701974],"study_design_scores_gemma":[0.001592395,0.02566395,0.1174189,0.000207535,0.000313199,0.004080465,0.0005320358,0.017941,0.7910784,0.01408609,0.02669837,0.0003876032],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8154025,0.001383761,0.168561,0.000547376,0.0005448563,0.002280372,0.001222972,0.0005692287,0.009487956],"genre_scores_gemma":[0.8120295,0.0008552322,0.1715771,0.0007543692,0.0002237648,0.006491073,0.001058346,0.0004417987,0.006568747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002554997,"threshold_uncertainty_score":0.008547246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03806028698038909,"score_gpt":0.3106825937719652,"score_spread":0.2726223067915761,"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."}}