{"id":"W4411618057","doi":"10.51847/matxqpkiwe","title":"10.51847/mAtXQPKiWE","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cochlear implant; Reduction (mathematics); Noise (video); Hilbert–Huang transform; Noise reduction; Audiology; Decomposition; Acoustics; Speech recognition; Computer science; Medicine; Mathematics; Telecommunications; Physics; Artificial intelligence; Chemistry; White noise","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004950233,0.00146936,0.0005944751,0.002182765,0.0009345969,0.002567293,0.001022775,0.00239113,0.9170756],"category_scores_gemma":[0.0009403765,0.0004799629,0.0005441082,0.001592085,0.0005972041,0.002266812,0.001431031,0.001060397,0.9036923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006309709,"about_ca_system_score_gemma":0.0003022717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00186332,"about_ca_topic_score_gemma":0.001364638,"domain_scores_codex":[0.9996672,0.00003388789,0.00003256276,0.0001037576,0.0001092478,0.00005335575],"domain_scores_gemma":[0.9992581,0.0001640765,0.00005828364,0.0001343893,0.0002689203,0.0001161686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003485846,0.0002277043,0.001072945,0.0003991266,0.00002794388,0.0004154351,0.0001267421,0.0007972581,0.02098069,0.006034526,0.1246649,0.8449041],"study_design_scores_gemma":[0.00007083854,0.0001651268,0.002042151,0.0002177378,0.00002540596,0.001014515,0.0001821566,0.00478931,0.007598902,0.00224182,0.9816105,0.00004142711],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00919838,0.001353025,0.03223734,0.001428019,0.001708898,0.0002696114,0.001755546,0.006506217,0.9455429],"genre_scores_gemma":[0.01073034,0.0004057726,0.006455209,0.0002729986,0.0001462524,0.00007224794,0.0007143262,0.0005216843,0.9806811],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08292437,"threshold_uncertainty_score":0.1182815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007945689672528636,"score_gpt":0.2128855776979407,"score_spread":0.2049398880254121,"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."}}