{"id":"W2774715251","doi":"10.3389/fpsyg.2017.02082","title":"Self-Control of Haptic Assistance for Motor Learning: Influences of Frequency and Opinion of Utility","year":2017,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; Toronto Rehabilitation Institute; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Haptic technology; Task (project management); Psychology; Control (management); Motor learning; Cognitive psychology; Applied psychology; Human–computer interaction; Computer science; Simulation; Artificial intelligence; Engineering","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":[0.003777523,0.0002134078,0.0002203509,0.0004143031,0.0002332326,0.00120415,0.0002589777,0.0003214847,0.001642175],"category_scores_gemma":[0.02608556,0.0001314295,0.000219164,0.0001644543,0.001207488,0.0006466324,0.0006959557,0.0005253993,0.0001315797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004604362,"about_ca_system_score_gemma":0.0003388287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001075619,"about_ca_topic_score_gemma":0.001661583,"domain_scores_codex":[0.9973122,0.001366218,0.0001582879,0.0002931937,0.0006921202,0.0001779864],"domain_scores_gemma":[0.9670493,0.02502727,0.00370212,0.0008783189,0.002237111,0.001105872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002703405,0.00122419,0.6439988,0.0005305972,0.0002428272,0.000694731,0.157858,0.001134487,0.1085078,0.001665727,0.0004320559,0.08100739],"study_design_scores_gemma":[0.00005047857,0.001383567,0.9413317,0.00008706541,0.00008401033,0.0003085374,0.0389937,0.002534873,0.01218777,0.0009931899,0.001956943,0.00008822775],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974968,0.00003415546,0.0008923582,0.00003362099,0.000003250698,0.00001473762,0.000009811495,0.000004095738,0.001511255],"genre_scores_gemma":[0.9993517,0.00002559451,0.0003432019,0.00001038587,0.0000019111,0.00001161505,0.000009287388,0.000003616635,0.0002427189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003777523,"threshold_uncertainty_score":0.01997769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03298267467123546,"score_gpt":0.3190653587555957,"score_spread":0.2860826840843603,"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."}}