{"id":"W1968809237","doi":"10.2466/pms.2002.95.3f.1129","title":"Jaw and Finger Movement Accuracy under Visual and Nonvisual Feedback Conditions","year":2002,"lang":"en","type":"article","venue":"Perceptual and Motor Skills","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Visual feedback; Articulator; Computer science; Index finger; Movement (music); Computer vision; Modalities; Physical medicine and rehabilitation; Artificial intelligence; Psychology; Communication; Cognitive psychology; Medicine; Orthodontics","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":[0.0005586865,0.0003405941,0.0003789905,0.0002077258,0.00009307091,0.0002401309,0.0002666433,0.0003377486,0.002774376],"category_scores_gemma":[0.009475038,0.0001985878,0.0001229654,0.0001063882,0.0002518835,0.0002904177,0.0002973245,0.0002176739,0.000270291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001326544,"about_ca_system_score_gemma":0.0001788463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001243633,"about_ca_topic_score_gemma":0.00174371,"domain_scores_codex":[0.9994618,0.0001158502,0.00006006737,0.0001069317,0.0002077314,0.00004755202],"domain_scores_gemma":[0.9975206,0.0016214,0.0003985602,0.0001790484,0.0001724123,0.0001078868],"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":[0.01339308,0.0007578879,0.01139239,0.000458621,0.00005532334,0.0001747785,0.0006008692,0.0008119207,0.8972214,0.00006775578,0.0001122482,0.07495376],"study_design_scores_gemma":[0.0006701647,0.01894477,0.6324562,0.0000515919,0.0001734126,0.000647564,0.0003352488,0.006728555,0.3385215,0.0002468011,0.001150168,0.0000740418],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998449,0.000113186,0.0008917057,0.0000136502,0.00001451163,0.00001078328,0.00005440942,0.00002328746,0.0004294197],"genre_scores_gemma":[0.9975632,0.00007654762,0.001423879,0.00001392534,0.000007685297,0.0000153096,0.00007227498,0.00001054757,0.0008166345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002774376,"threshold_uncertainty_score":0.009281278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02766903547842757,"score_gpt":0.275139829825644,"score_spread":0.2474707943472164,"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."}}