{"id":"W2950767096","doi":"10.1016/j.ultrasmedbio.2019.05.012","title":"In Vitro Superharmonic Contrast Imaging Using a Hybrid Dual-Frequency Probe","year":2019,"lang":"en","type":"article","venue":"Ultrasound in Medicine & Biology","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; FujiFilm VisualSonics (Canada); Sunnybrook Hospital","funders":"National Cancer Institute; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Second-harmonic imaging microscopy; Transducer; Acoustics; Microbubbles; Materials science; Ultrasound; Optics; Bandwidth (computing); Subharmonic function; Harmonics; Harmonic; Biomedical engineering; Physics; Computer science; Laser; Second-harmonic generation; Medicine; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003972419,0.0003652704,0.0003288046,0.0001794511,0.0001860422,0.0002657401,0.0003560017,0.0006182221,0.000893538],"category_scores_gemma":[0.0002581838,0.0003368781,0.0002307156,0.0001550171,0.0003104592,0.0004564558,0.0003240906,0.0005710021,0.0002945704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000202896,"about_ca_system_score_gemma":0.0001811882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006828698,"about_ca_topic_score_gemma":0.0009268487,"domain_scores_codex":[0.9997913,0.00003870303,0.000008328101,0.00005776235,0.00004666857,0.00005710487],"domain_scores_gemma":[0.9997472,0.0001359522,0.00003169096,0.00002292309,0.00003093066,0.00003119381],"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":[0.00002405983,0.000009158166,0.00001693757,0.00001243041,8.527924e-7,0.00001369236,0.00001215993,0.00003624464,0.9995281,0.00003831964,0.000005574727,0.0003025197],"study_design_scores_gemma":[0.000009925716,0.000288854,0.0009265073,0.000003500394,0.00001287288,0.0001118641,0.00003005811,0.002599442,0.9952396,0.00005890966,0.0007122447,0.000006100634],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.963909,0.001243205,0.03234036,0.000112911,0.00004699706,0.00004110121,0.00008016013,0.00007683442,0.002149421],"genre_scores_gemma":[0.9690317,0.0007854371,0.0271137,0.00008540409,0.00002921212,0.00006439843,0.0001335007,0.00002825442,0.002728267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000893538,"threshold_uncertainty_score":0.002989173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008685797157611138,"score_gpt":0.2441668965344388,"score_spread":0.2354810993768277,"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."}}