{"id":"W2889806578","doi":"10.1166/jnn.2018.16425","title":"Shear Mode Bulk Acoustic Viscosity Sensor for Blood Coagulation Monitoring in Oral Anticoagulant Therapy","year":2018,"lang":"en","type":"article","venue":"Journal of Nanoscience and Nanotechnology","topic":"Acoustic Wave Resonator Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Materials science; Resonator; Blood viscosity; Coagulation; Miniaturization; Biomedical engineering; Viscosity; Piezoelectricity; Acoustics; Composite material; Optoelectronics; Internal medicine; Nanotechnology; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002963731,0.000139549,0.0003093635,0.0005087802,0.0000943468,0.00002528823,0.0002804146,0.0002817137,0.000001216194],"category_scores_gemma":[0.0002430237,0.0001153102,0.00004210781,0.0004261101,0.0003643585,0.0001960418,0.00004371461,0.0002546129,7.870073e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005835124,"about_ca_system_score_gemma":0.00003620394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007374349,"about_ca_topic_score_gemma":0.000004915919,"domain_scores_codex":[0.9989758,0.00001167747,0.0003453993,0.0001589254,0.0001756515,0.0003325212],"domain_scores_gemma":[0.9994881,0.00008827008,0.0001154646,0.0001519833,0.0001174694,0.00003877417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000358657,0.00004287772,0.004434207,0.00001923864,0.00001624547,0.00002570636,0.0000792115,0.00322945,0.9761585,0.00009055087,0.00002016905,0.01584798],"study_design_scores_gemma":[0.001307318,0.001046069,0.0059158,0.0001163088,0.00003075187,0.0003905006,0.0002522354,0.09182455,0.8965307,0.00210689,0.0002593662,0.000219522],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9560109,0.0008552038,0.04221365,0.0001952407,0.0004405541,0.0001541738,0.000003568957,0.0001228753,0.000003878074],"genre_scores_gemma":[0.9887215,0.001207538,0.009952404,0.00001047353,0.00008454433,0.000004168019,1.266125e-7,0.00001450263,0.000004778199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0885951,"threshold_uncertainty_score":0.4702212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02296772822055714,"score_gpt":0.2819767965379918,"score_spread":0.2590090683174346,"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."}}