{"id":"W2027935092","doi":"10.1080/02701367.2009.10599586","title":"Effect of Information Load and Time on Observational Learning","year":2009,"lang":"en","type":"article","venue":"Research Quarterly for Exercise and Sport","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Observational study; Gaze; Observational learning; Psychology; Perception; Action (physics); Kinematics; Cricket; Physical medicine and rehabilitation; Artificial intelligence; Computer science; Simulation; Cognitive psychology; Mathematics; Medicine; Statistics; Mathematics education","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":[0.001392248,0.0005820326,0.0006749771,0.0004855173,0.0002925199,0.0009740378,0.0007889058,0.0005491732,0.005397651],"category_scores_gemma":[0.02314232,0.0002901415,0.0002854118,0.0003039623,0.0006420402,0.001165812,0.001110969,0.0007942319,0.000372991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003402506,"about_ca_system_score_gemma":0.0004262676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000629616,"about_ca_topic_score_gemma":0.0007095294,"domain_scores_codex":[0.9985696,0.0003407012,0.0001787773,0.0002682151,0.0004786907,0.0001639666],"domain_scores_gemma":[0.9696969,0.02243137,0.002642528,0.002540409,0.0009267478,0.001762111],"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":[0.04529495,0.01670846,0.03938347,0.0009037866,0.000308828,0.0004894711,0.003765647,0.002872092,0.7096797,0.0007147414,0.0004135367,0.1794653],"study_design_scores_gemma":[0.002929477,0.08273786,0.5302615,0.0002594898,0.0009616342,0.0007308963,0.001702281,0.02172586,0.3465652,0.005667093,0.00620984,0.0002488239],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977842,0.0001243261,0.001233627,0.00006475309,0.00001685653,0.00003662764,0.00005836726,0.0000445693,0.0006367206],"genre_scores_gemma":[0.9958241,0.0001337339,0.002707791,0.00004527407,0.00003451605,0.0001471002,0.0001350265,0.0000548658,0.0009176095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005397651,"threshold_uncertainty_score":0.01805693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0384341407850684,"score_gpt":0.3789506431750743,"score_spread":0.3405165023900059,"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."}}