{"id":"W2125240342","doi":"10.1109/cbmsys.1989.47370","title":"Multichannel data acquisition system for gastric motility","year":2003,"lang":"en","type":"article","venue":"","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Data acquisition; Microprocessor; Computer science; Noise (video); Electrical impedance; Controller (irrigation); Computer hardware; Engineering; Electrical engineering; Artificial intelligence; Image (mathematics); Operating system; Biology","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":[0.0003043114,0.00009733887,0.0001192634,0.00004226801,0.00004870531,0.00001917529,0.0001528871,0.00005392428,0.00004327899],"category_scores_gemma":[0.00003228278,0.00009124544,0.0000318451,0.00009447214,0.000008276718,0.0001292088,0.000008797737,0.0000443733,0.00006180099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005330759,"about_ca_system_score_gemma":0.0000103209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000814841,"about_ca_topic_score_gemma":0.000003270257,"domain_scores_codex":[0.9993717,0.00002443557,0.0001470413,0.0001804,0.00007261283,0.0002038137],"domain_scores_gemma":[0.9994511,0.00005974403,0.00001245726,0.0003786357,0.00003382497,0.00006421134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006143893,0.0003781166,0.00163526,0.005143336,0.0007528146,0.00005223269,0.0005405568,0.08061689,0.07169827,0.6751392,0.1248428,0.03913903],"study_design_scores_gemma":[0.002796422,0.00016357,0.001353311,0.0001278005,0.0002515093,0.0001211915,0.001690627,0.9422843,0.03042587,0.004310728,0.01557789,0.0008967408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002750427,0.0002892016,0.987049,8.765853e-7,0.0002581514,0.0002366726,0.00007685742,0.00036601,0.008972794],"genre_scores_gemma":[0.9986442,0.000004354174,0.0009745257,0.00001236365,0.00005812628,0.00002093251,0.00007188461,0.0000186965,0.0001949254],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9958938,"threshold_uncertainty_score":0.3720881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04233513699528083,"score_gpt":0.2322528430791082,"score_spread":0.1899177060838274,"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."}}