{"id":"W2980967249","doi":"10.3390/s19204557","title":"A Review of Force Myography Research and Development","year":2019,"lang":"en","type":"review","venue":"Sensors","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":162,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Computer science; Electrical impedance myography; Human–computer interaction; Mechatronics; Data science; Artificial intelligence; Medicine","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":[0.0009463956,0.001081882,0.001331959,0.004709635,0.0003369422,0.00129456,0.001061261,0.001322343,0.01059191],"category_scores_gemma":[0.002124965,0.000466671,0.0008172765,0.004418634,0.0004231917,0.001821473,0.000641458,0.0009863117,0.004689526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005507192,"about_ca_system_score_gemma":0.001949507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00139403,"about_ca_topic_score_gemma":0.001948691,"domain_scores_codex":[0.9995265,0.00006431014,0.00009636417,0.0001005781,0.000183027,0.00002926389],"domain_scores_gemma":[0.9985939,0.0008295755,0.0001515466,0.00003885182,0.0003312609,0.00005487153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006552697,0.00007952763,0.0003919003,0.0367897,0.00008919456,0.0001605182,0.00007808179,0.0003137425,0.00199622,0.003123589,0.02399901,0.9329131],"study_design_scores_gemma":[0.000008268208,0.0001278706,0.001446015,0.008765665,0.0001582719,0.001015258,0.00009165563,0.000131717,0.000758855,0.001611709,0.9858549,0.00002985076],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002239377,0.9960926,0.000547767,0.0003748397,0.0003227293,0.00001271101,0.0000883026,0.00001923573,0.002317873],"genre_scores_gemma":[0.001058894,0.9965141,0.0006955246,0.0002069306,0.0002802469,0.00001521047,0.0001089681,0.000004927156,0.001115215],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01059191,"threshold_uncertainty_score":0.03543341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1245942958649048,"score_gpt":0.3611297637010407,"score_spread":0.2365354678361359,"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."}}