{"id":"W2029823090","doi":"10.1088/0967-3334/35/2/217","title":"Real-time gastric motility monitoring using transcutaneous intraluminal impedance measurements (TIIM)","year":2014,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Gastrointestinal motility and disorders","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stomach; Gastric emptying; Motility; Biomedical engineering; SIGNAL (programming language); Transducer; Force transducer; Medicine; Internal medicine; Acoustics; Biology; Computer science; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001137943,0.0003760058,0.000623925,0.00007093677,0.0001843614,0.0000263864,0.0002065942,0.0001095007,0.0001423807],"category_scores_gemma":[0.0009125692,0.0003010865,0.0002690506,0.0002487899,0.0001775782,0.00008117071,0.00004729229,0.0003565075,0.00008063214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004211349,"about_ca_system_score_gemma":0.00009113143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001408297,"about_ca_topic_score_gemma":0.000002759871,"domain_scores_codex":[0.9965309,0.0003149645,0.0005330194,0.0006809815,0.001222909,0.0007172226],"domain_scores_gemma":[0.998499,0.00006115522,0.0001377589,0.0004686166,0.0004392055,0.0003942075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005135436,0.0007268072,0.03149453,0.0001414833,0.00006292407,0.00001218122,0.00004263988,0.000459449,0.9584489,0.000006310387,0.00003422899,0.008056941],"study_design_scores_gemma":[0.002731804,0.003290467,0.9546309,0.000714952,0.0004010827,0.0003216879,0.0001376769,0.008500016,0.02780384,0.0009490653,0.00004555294,0.0004730044],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946885,0.00008079346,0.002921554,0.0001361275,0.0001593038,0.0005496597,0.000002772118,0.0001963337,0.00126492],"genre_scores_gemma":[0.9903389,0.00001639326,0.009218823,0.0000582463,0.0002975148,0.00002398901,0.000005613026,0.0000241154,0.00001644819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9306451,"threshold_uncertainty_score":0.9999442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1418908368198681,"score_gpt":0.3049065347411357,"score_spread":0.1630156979212676,"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."}}