{"id":"W2042459664","doi":"10.1371/journal.pone.0001219","title":"Myocontrol in Aging","year":2007,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institut Universitaire de Gériatrie de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Fitts's law; Amplitude; Modality (human–computer interaction); Young adult; Task (project management); Physical medicine and rehabilitation; Audiology; Psychology; Logarithm; Modalities; Medicine; Computer science; Mathematics; Developmental psychology; Artificial intelligence; Engineering; Physics","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":[0.0006627098,0.0006311866,0.0002979246,0.00052089,0.0003127014,0.0008110923,0.0002176878,0.0004931443,0.002129214],"category_scores_gemma":[0.00192145,0.0001063793,0.000215901,0.0003520139,0.0007162727,0.0006013956,0.0008388897,0.0004106351,0.0003172047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002977656,"about_ca_system_score_gemma":0.0003812361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001319892,"about_ca_topic_score_gemma":0.001043468,"domain_scores_codex":[0.9997563,0.00004442826,0.00002422032,0.000101108,0.00004329863,0.00003068278],"domain_scores_gemma":[0.9993923,0.00008551106,0.0002517549,0.00005246735,0.000118903,0.00009915334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001915404,0.0005821404,0.3332514,0.001864641,0.0004400584,0.005277914,0.00451933,0.0009242357,0.09208595,0.01943532,0.008817693,0.530886],"study_design_scores_gemma":[0.0000481351,0.001698995,0.9485984,0.0002131043,0.0001767821,0.008775267,0.0008226621,0.0007510792,0.004015921,0.01224185,0.02261407,0.00004370917],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9141371,0.05858893,0.008542689,0.001843634,0.0007676167,0.00008219276,0.000802299,0.000176961,0.01505859],"genre_scores_gemma":[0.985824,0.007333846,0.001741341,0.0004314781,0.0002443316,0.0000466042,0.0002883475,0.0000150762,0.004074952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002129214,"threshold_uncertainty_score":0.007122993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01954044602408807,"score_gpt":0.2014132815229158,"score_spread":0.1818728354988278,"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."}}