{"id":"W7117875057","doi":"10.1080/24699322.2025.2604123","title":"No cancer left behind: a testbed and demonstration of concept for photoacoustic tumor bed inspection","year":2025,"lang":"en","type":"article","venue":"Computer Assisted Surgery","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Institutes of Health","keywords":"Testbed; Photoacoustic imaging in biomedicine; Software deployment; Imaging phantom; Workflow; Medical imaging; Residual","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":[0.0006300858,0.0005217176,0.0003198796,0.0002659532,0.0002512392,0.0005541848,0.001106143,0.0007491541,0.001414862],"category_scores_gemma":[0.0008493671,0.0002277054,0.000291126,0.0001018279,0.0005285673,0.0007311152,0.000948174,0.0005724868,0.0003695287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003145369,"about_ca_system_score_gemma":0.0007855529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005341297,"about_ca_topic_score_gemma":0.0006914249,"domain_scores_codex":[0.999712,0.0000509559,0.00001792747,0.00005702078,0.0001110277,0.00005105425],"domain_scores_gemma":[0.9994603,0.0001274295,0.000100787,0.00007809403,0.0000699341,0.0001634498],"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":[0.0004554526,0.0005749229,0.002471552,0.0005737415,0.00004068128,0.00169877,0.0004169043,0.0297738,0.9139194,0.005712559,0.002863938,0.04149823],"study_design_scores_gemma":[0.0002783205,0.008118577,0.008896904,0.0001774246,0.00009865666,0.003371473,0.0004616446,0.2086635,0.7211189,0.003784806,0.04485447,0.000175197],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4392457,0.0008236923,0.546187,0.001017273,0.0006126225,0.0008153431,0.0006086416,0.004166969,0.006522654],"genre_scores_gemma":[0.7774984,0.000578225,0.2169752,0.0002279387,0.00002825666,0.0006655412,0.0002910886,0.0001578331,0.003577576],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001414862,"threshold_uncertainty_score":0.004733205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01107688607488181,"score_gpt":0.2291021808350271,"score_spread":0.2180252947601453,"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."}}