{"id":"W2158042638","doi":"10.1016/j.medengphy.2005.07.021","title":"Characteristics of a MR-compatible ankle exercise ergometer for a 3.0 T head-only MR scanner","year":2005,"lang":"en","type":"article","venue":"Medical Engineering & Physics","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute; Western University","funders":"","keywords":"Isometric exercise; Ankle; Scanner; Cycle ergometer; Physical medicine and rehabilitation; Computer science; Medicine; Physical therapy; Surgery; Artificial intelligence; Radiology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001114862,0.0002089874,0.0003870235,0.00009705238,0.00003623235,0.00001401019,0.0001606106,0.00008900803,0.00004774224],"category_scores_gemma":[0.00007404517,0.000207305,0.0001431137,0.0003267324,0.00003472227,0.0001166503,0.00002576841,0.000193999,0.000003760386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004005633,"about_ca_system_score_gemma":0.00002882173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005598621,"about_ca_topic_score_gemma":0.000002671475,"domain_scores_codex":[0.9988279,0.000004192083,0.0003367178,0.0001551225,0.0003150713,0.0003609969],"domain_scores_gemma":[0.9994532,0.00009823672,0.00003997899,0.0001919514,0.0000681573,0.0001484343],"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":[0.00005758485,0.0004140473,0.001254461,0.00175711,0.0004698487,0.000003801676,0.001197754,0.03176155,0.01504283,0.003046406,0.01075099,0.9342436],"study_design_scores_gemma":[0.001892567,0.0001977511,0.02131553,0.0006969791,0.0001302731,0.000006342926,0.00002734429,0.8441533,0.03317101,0.0001760307,0.09729596,0.0009368843],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7594221,0.0005600616,0.2375691,0.0003460143,0.000582837,0.0004324468,0.00005273897,0.0006194385,0.0004153533],"genre_scores_gemma":[0.9949236,0.0001850117,0.004093627,0.00007163829,0.0005175096,0.00008016152,0.0000277617,0.00005559064,0.00004511796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9333068,"threshold_uncertainty_score":0.8453653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009291324822242111,"score_gpt":0.2237070005275742,"score_spread":0.2144156757053321,"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."}}