{"id":"W4381785386","doi":"10.1109/icjece.2023.3280335","title":"Table of Contents","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Computer science; Table of contents; Information retrieval; Mathematics; Database; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004756053,0.00006364154,0.0001453576,0.0003724876,0.00002200297,0.00001326263,0.0000621492,0.0000251858,0.000003905367],"category_scores_gemma":[0.00001632673,0.00006025009,0.00003672567,0.000537961,0.000009084511,0.00005640335,0.000003720904,0.0001089592,3.461968e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001570586,"about_ca_system_score_gemma":0.00002348047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005441125,"about_ca_topic_score_gemma":0.00003204636,"domain_scores_codex":[0.9995475,0.000003040274,0.0001614605,0.00003682698,0.00005603955,0.0001950877],"domain_scores_gemma":[0.9996831,0.00004437882,0.00002016797,0.00003241446,0.00004927251,0.0001707074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002358634,0.00003396755,0.03991714,0.0005360141,0.001649231,0.0003712933,0.001461065,0.3767258,0.02872067,0.01039911,0.09523503,0.4449271],"study_design_scores_gemma":[0.0007926244,0.000357584,0.2913643,0.0001476744,0.00003425023,0.0001384007,0.0000204834,0.6573835,0.004854358,0.0002189085,0.04432314,0.0003647724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9528059,0.002823968,0.0431935,0.0001304654,0.000606056,0.00006016409,0.000003785951,0.0000820897,0.0002940204],"genre_scores_gemma":[0.9994695,0.0001248045,0.0002885129,0.00001633948,0.00008169766,6.36362e-7,5.006238e-7,0.000008510585,0.000009486716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4445623,"threshold_uncertainty_score":0.2456928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008555463019394615,"score_gpt":0.166788760659757,"score_spread":0.1582332976403624,"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."}}