{"id":"W3034332226","doi":"10.22215/etd/2017-11744","title":"Determination of Bioimpedance Using Multi-Frequency Bio-electrical Impedance Analysis","year":2017,"lang":"en","type":"dissertation","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Electronic engineering; Electrical impedance; Transient (computer programming); Electronic circuit; Amplifier; Electrical engineering; CMOS; Voltage; Frequency response; Transient response; Engineering; Computer science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001530016,0.0004842804,0.0008853545,0.001220042,0.0001408337,0.00006505441,0.0005701377,0.000544105,0.00007880817],"category_scores_gemma":[0.00008701441,0.0004452163,0.0006752788,0.001909866,0.00005936751,0.0002274437,0.00001043876,0.0004184773,0.000009189602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000112593,"about_ca_system_score_gemma":0.00007843708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000260675,"about_ca_topic_score_gemma":0.0007252293,"domain_scores_codex":[0.9978836,0.00003385797,0.0007027742,0.0004739611,0.0004044526,0.0005014182],"domain_scores_gemma":[0.9985296,0.00006241428,0.0004147092,0.0006218273,0.0002555806,0.0001158761],"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":[0.00008766726,0.0003445968,0.02185696,0.001654251,0.002712659,0.00004226203,0.0004082363,0.0008307103,0.4398295,0.000466065,0.0001144008,0.5316527],"study_design_scores_gemma":[0.0006177358,0.0001611847,0.05118912,0.0002242998,0.003199056,0.000006343034,0.00004401587,0.7695906,0.1728161,0.0004797,0.0001252306,0.001546618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.92199,0.01036756,0.05279608,0.000006879419,0.001000466,0.0006790048,0.0001006701,0.0006439544,0.01241538],"genre_scores_gemma":[0.9730005,0.001247475,0.02326185,0.000006563569,0.0001169495,0.00002990651,0.0003622948,0.00007934212,0.001895136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7687598,"threshold_uncertainty_score":0.9998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01703172103287141,"score_gpt":0.2882035954930926,"score_spread":0.2711718744602212,"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."}}