{"id":"W2275474059","doi":"","title":"Prevention of myocardial infarctions, using non-invasive biophotonics measurement of biomarker cardiac troponin I.","year":2010,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Simon Fraser University","keywords":"Biophotonics; Biomarker; Troponin; Cardiology; Internal medicine; Medicine; Troponin I; Myocardial infarction; Biology; Materials science; Optoelectronics; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003229543,0.0003599277,0.0001783351,0.0003633779,0.0001496553,0.0003871828,0.0001907286,0.0003798878,0.00247679],"category_scores_gemma":[0.0003582095,0.00009511495,0.0002241811,0.0001291628,0.0001374018,0.0001849483,0.0002025904,0.000313476,0.0008279525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001862618,"about_ca_system_score_gemma":0.0001936036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002248246,"about_ca_topic_score_gemma":0.0004628316,"domain_scores_codex":[0.9998291,0.00003529452,0.000007874357,0.00003236912,0.00007902436,0.00001631287],"domain_scores_gemma":[0.9998775,0.00003733077,0.0000292483,0.000006605115,0.00003441684,0.00001496539],"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":[0.0003258205,0.0004829387,0.005187903,0.0006949288,0.00005760838,0.0001539272,0.0001419903,0.0003610534,0.658469,0.001438355,0.002700231,0.3299862],"study_design_scores_gemma":[0.0001710746,0.005242931,0.06953197,0.000311414,0.0002910387,0.002119789,0.0002536832,0.005612495,0.8624942,0.003171064,0.05072736,0.00007294428],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6474547,0.08536067,0.2009396,0.005619503,0.001654626,0.0007851303,0.0009496377,0.0009699764,0.05626608],"genre_scores_gemma":[0.8465862,0.02934738,0.08375078,0.001308162,0.0003147138,0.0003476568,0.0005275976,0.00004029335,0.03777736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00247679,"threshold_uncertainty_score":0.008285642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01271756483751794,"score_gpt":0.2139964459524967,"score_spread":0.2012788811149788,"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."}}