{"id":"W1911071136","doi":"10.1016/j.actpsy.2015.05.011","title":"Motion trajectory information and agency influence motor learning during observational practice","year":2015,"lang":"en","type":"article","venue":"Acta Psychologica","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Motor learning; Psychology; Trajectory; Observational learning; Observational study; Naturalistic observation; Motion (physics); Coding (social sciences); Cognitive psychology; Naturalism; Agency (philosophy); Biological motion; Communication; Artificial intelligence; Computer science; Social psychology; Neuroscience; Mathematics; Physics; Experiential learning","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":[0.0008078596,0.0003173902,0.0003499705,0.0003708489,0.0002107918,0.001332485,0.0003406681,0.0005393907,0.002823378],"category_scores_gemma":[0.01946442,0.0005393804,0.0001937716,0.0003458407,0.0005549127,0.0007784502,0.0007798631,0.000713928,0.0002413807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002734371,"about_ca_system_score_gemma":0.0005751396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002979642,"about_ca_topic_score_gemma":0.003448001,"domain_scores_codex":[0.999383,0.0001881091,0.00004542387,0.0001549209,0.0001517438,0.00007684538],"domain_scores_gemma":[0.9910018,0.006046328,0.001659252,0.0005577221,0.0003136741,0.0004212498],"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":[0.009394123,0.00139263,0.1706006,0.0004379584,0.0004919867,0.0004683457,0.00750588,0.01026241,0.6296595,0.00545604,0.0008516805,0.1634788],"study_design_scores_gemma":[0.0001637931,0.0008575435,0.9459263,0.00004451285,0.0001240416,0.0001986356,0.0007221544,0.02969649,0.01553168,0.005732806,0.0009556303,0.00004632897],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916607,0.0001415263,0.005389657,0.00007239598,0.00001789541,0.00002253112,0.00006986924,0.00004850458,0.002577001],"genre_scores_gemma":[0.9979973,0.00007924097,0.001291502,0.000007721111,0.000006742577,0.00001209,0.00004856392,0.00003625422,0.0005204633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002979642,"threshold_uncertainty_score":0.009445131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0815610333021265,"score_gpt":0.3423026146612476,"score_spread":0.2607415813591211,"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."}}