{"id":"W2168383752","doi":"10.1007/s10484-015-9307-8","title":"EEG Topographic Mapping of Visual and Kinesthetic Imagery in Swimmers","year":2015,"lang":"en","type":"article","venue":"Applied Psychophysiology and Biofeedback","topic":"Sport Psychology and Performance","field":"Psychology","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; York University","funders":"York University","keywords":"Kinesthetic learning; Electroencephalography; Mental image; Psychology; Computer vision; Artificial intelligence; Computer science; Neuroscience; Developmental psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005685736,0.0001749487,0.0001040832,0.0002922275,0.0001241126,0.0002367562,0.0000727303,0.000144924,0.003385974],"category_scores_gemma":[0.0008553154,0.00007718489,0.0001054737,0.0003294469,0.0001935779,0.0001545121,0.0001787205,0.0001559956,0.0003600667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005229045,"about_ca_system_score_gemma":0.0001061359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001463519,"about_ca_topic_score_gemma":0.002332306,"domain_scores_codex":[0.9999704,0.000005961794,0.000001380527,0.000006061156,0.000006451157,0.000009667373],"domain_scores_gemma":[0.9998976,0.00005126642,0.00001211799,0.000006120658,0.00002173097,0.00001111829],"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":[0.003517529,0.0001932573,0.04128109,0.0004923159,0.0001154998,0.0008039259,0.001691154,0.001367306,0.7731285,0.0009324058,0.001487711,0.1749893],"study_design_scores_gemma":[0.00004147207,0.0003710051,0.983286,0.0000313747,0.00003651008,0.000924287,0.0005294139,0.002217532,0.0110467,0.0007037723,0.0008029919,0.00000889411],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916747,0.0004033122,0.003374582,0.00008568521,0.00002021185,0.0000438789,0.0003418009,0.00004858346,0.004007167],"genre_scores_gemma":[0.998353,0.0001366919,0.0005300586,0.00001788235,0.00001430093,0.00001871205,0.00007524386,0.00001025903,0.0008439483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003385974,"threshold_uncertainty_score":0.01132715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02430604036545765,"score_gpt":0.2992871101254057,"score_spread":0.274981069759948,"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."}}