{"id":"W2015964853","doi":"10.1109/iembs.2010.5626065","title":"Complexity analysis of the uterine electromyography","year":2010,"lang":"en","type":"article","venue":"","topic":"Preterm Birth and Chorioamnionitis","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Burman University","funders":"","keywords":"Sample entropy; Electromyography; Surrogate data; Computer science; Entropy (arrow of time); Artificial intelligence; Pattern recognition (psychology); Physical medicine and rehabilitation; Medicine","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004923749,0.00004713764,0.0001604256,0.0001085083,0.00002813317,0.000003664273,0.00008342502,0.00002994645,0.001739147],"category_scores_gemma":[0.00001654501,0.00002670351,0.0002322364,0.0007120575,0.0001103105,0.00001477592,0.00002457444,0.0001328983,0.000001947645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002210315,"about_ca_system_score_gemma":0.00001699236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001104382,"about_ca_topic_score_gemma":0.0005049485,"domain_scores_codex":[0.9995931,0.000009357463,0.0001054535,0.00007896114,0.0001157989,0.00009736785],"domain_scores_gemma":[0.9995224,0.00001234071,0.00003433782,0.0003311366,0.00004734302,0.00005243906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004218511,0.00008168045,0.834845,0.00002002367,0.0009304028,0.00000203795,0.00004881786,1.650529e-7,0.1484243,0.01078467,0.0007125747,0.004108137],"study_design_scores_gemma":[0.0002164638,0.00005031712,0.973093,0.000002143183,0.0004491871,0.000008087132,0.000005334265,0.0002368941,0.01992581,0.0003679598,0.005610935,0.00003381314],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9744738,0.000009989379,0.000122971,0.0007369269,0.00008032528,0.00006865591,0.00001132228,0.00002230164,0.02447368],"genre_scores_gemma":[0.9982643,0.000007257692,0.0007747888,0.0004251684,0.00003156162,0.000002292973,0.00001084388,0.000002763797,0.0004809999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1382481,"threshold_uncertainty_score":0.9991734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01282899719224064,"score_gpt":0.278557467957873,"score_spread":0.2657284707656323,"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."}}