{"id":"W4402737034","doi":"10.1088/1361-6560/ad7e76","title":"Phase-change ultrasound contrast agents for proton range verification: towards an in vivo application","year":2024,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Electron Spin Resonance Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Particle Physics","funders":"H2020 Excellent Science; Université Catholique de Louvain; European Commission; Vlaamse regering; Fonds Wetenschappelijk Onderzoek; KU Leuven","keywords":"Contrast (vision); In vivo; Ultrasound; Range (aeronautics); Phase contrast microscopy; Phase (matter); Proton; Materials science; Nuclear magnetic resonance; Biomedical engineering; Medical physics; Physics; Medicine; Optics; Acoustics; Nuclear physics; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005075466,0.0004585368,0.0001450556,0.0001687325,0.00007831665,0.0003178862,0.0002860487,0.0005297394,0.000948633],"category_scores_gemma":[0.0003450485,0.0001637032,0.000156005,0.0001049011,0.0002535279,0.00036942,0.0002093718,0.0005001408,0.0002620144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002587672,"about_ca_system_score_gemma":0.0001941409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002832008,"about_ca_topic_score_gemma":0.000284201,"domain_scores_codex":[0.999868,0.0000447576,0.000006378787,0.00003080695,0.00003796873,0.00001186509],"domain_scores_gemma":[0.9998031,0.00006117813,0.00005594737,0.00001781144,0.00004171306,0.00002023566],"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":[0.00004597359,0.00002660952,0.00004650229,0.00005942868,0.000002488992,0.00002629485,0.000009134699,0.00007399661,0.9956839,0.0001201829,0.00004094352,0.003864558],"study_design_scores_gemma":[0.00001620109,0.0005477183,0.0003163127,0.000008543065,0.00001330455,0.0001200425,0.000008097966,0.001015942,0.9955368,0.00004346532,0.002369741,0.000003908701],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7494087,0.02772995,0.2154624,0.001159359,0.0002395767,0.0005545476,0.0002867104,0.0005111537,0.004647569],"genre_scores_gemma":[0.9220542,0.00736514,0.06602991,0.0003528525,0.000064161,0.0001725297,0.000194472,0.00005625512,0.003710384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000948633,"threshold_uncertainty_score":0.00317353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1522231682126474,"score_gpt":0.4328283863681293,"score_spread":0.280605218155482,"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."}}