{"id":"W1594302055","doi":"10.5772/39192","title":"On Temporomandibular Joint Sound Signal Analysis Using ICA","year":2012,"lang":"en","type":"book-chapter","venue":"InTech eBooks","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Toronto Metropolitan University","funders":"","keywords":"Joint (building); Sound (geography); Independent component analysis; Temporomandibular joint; SIGNAL (programming language); Acoustics; Computer science; Orthodontics; Artificial intelligence; Medicine; Physics; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003211015,0.001072422,0.0005158859,0.001056025,0.0002300586,0.0009321865,0.0005726487,0.0009999331,0.007363957],"category_scores_gemma":[0.0006994205,0.0002605618,0.0007455528,0.002103405,0.0005359054,0.001030675,0.0005558835,0.001188581,0.00876039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002626477,"about_ca_system_score_gemma":0.0002733938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001600698,"about_ca_topic_score_gemma":0.001016337,"domain_scores_codex":[0.9997419,0.00004955957,0.00001777211,0.00006997422,0.0001037179,0.00001717209],"domain_scores_gemma":[0.9997838,0.0001164251,0.00001063379,0.00002291905,0.00006009859,0.000006222114],"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":[0.00007091158,0.00005130475,0.0001929977,0.0005781417,0.00007972324,0.0002891221,0.0001689746,0.01983004,0.01757161,0.01410518,0.04271455,0.9043474],"study_design_scores_gemma":[0.00002825924,0.0002917632,0.00555923,0.0008441523,0.0001674088,0.002721112,0.0002234547,0.3584158,0.02470607,0.06552824,0.5412521,0.0002625059],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003207233,0.05259414,0.9171568,0.0006731029,0.001210501,0.00004457681,0.000225366,0.001381637,0.02350667],"genre_scores_gemma":[0.08254583,0.1618729,0.6527347,0.001121012,0.004790529,0.0002635511,0.002759751,0.0007352476,0.09317643],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007363957,"threshold_uncertainty_score":0.02463484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05117648895831193,"score_gpt":0.2811959663184291,"score_spread":0.2300194773601172,"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."}}