{"id":"W2160847388","doi":"10.1109/ultsym.2009.5441887","title":"A novel technique for measuring ultrasound backscatter from single micron-sized objects","year":2009,"lang":"en","type":"article","venue":"","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Canada Research Chairs","keywords":"Backscatter (email); Transducer; Materials science; Microscope; Ultrasound; Ultrasonic sensor; Optics; Pipette; Lens (geology); SIGNAL (programming language); Optical microscope; Acoustics; Ranging; Focal length; Biomedical engineering; Computer science; Physics; Scanning electron microscope; Chemistry; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0005351989,0.0005998454,0.0006305877,0.001003485,0.0003473019,0.0004093709,0.0008120168,0.0009100887,0.0006267542],"category_scores_gemma":[0.0005286786,0.0004760857,0.0003975374,0.0006062404,0.0004445189,0.0008587075,0.0007529638,0.0008498366,0.0004813549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003317752,"about_ca_system_score_gemma":0.0005319012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000436019,"about_ca_topic_score_gemma":0.0009248282,"domain_scores_codex":[0.9993709,0.00007302605,0.00004835997,0.0001620732,0.0002893217,0.00005625144],"domain_scores_gemma":[0.9995195,0.0001469057,0.0001059142,0.0000647649,0.0001104422,0.00005244781],"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":[0.00001754242,0.000008199012,0.0001249177,0.00009051281,0.000004547784,0.00003396565,0.00002653188,0.000031626,0.9896715,0.00019463,0.00008292333,0.009713007],"study_design_scores_gemma":[0.00001663181,0.0004516176,0.002892673,0.00002704343,0.00004923221,0.002182478,0.00004811491,0.004582481,0.9820781,0.000201228,0.007423903,0.0000464207],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1709813,0.00809338,0.8158107,0.0004070688,0.000387622,0.000293424,0.0002676481,0.001477344,0.002281569],"genre_scores_gemma":[0.2421007,0.005227946,0.7486021,0.0003205797,0.0001129328,0.0004138873,0.0002395348,0.00007730991,0.002905035],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001003485,"threshold_uncertainty_score":0.002830446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03164759533038435,"score_gpt":0.2603033477742522,"score_spread":0.2286557524438678,"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."}}