{"id":"W4385515497","doi":"10.1002/adhm.202300528","title":"Tumor Shape‐Specific Brachytherapy Implants by 3D‐Printing, Precision Radioactivity Painting, and Biomedical Imaging","year":2023,"lang":"en","type":"article","venue":"Advanced Healthcare Materials","topic":"Ocular Oncology and Treatments","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Hôpital du Saint-Sacrement; Centre hospitalier universitaire de Québec","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Université Laval","keywords":"Brachytherapy; Biomedical engineering; Materials science; 3d printed; Melanoma; Radiation therapy; Nuclear medicine; Computer science; Medical physics; Medicine; Radiology; Cancer research","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":[0.0009054655,0.0006788307,0.0003722729,0.000747255,0.0001927456,0.001117547,0.0004714862,0.0007742182,0.001038941],"category_scores_gemma":[0.001016378,0.0006774993,0.0006757259,0.0005771618,0.0005902469,0.0004264799,0.0007820011,0.0007959923,0.0005297175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000452817,"about_ca_system_score_gemma":0.0004204113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003165978,"about_ca_topic_score_gemma":0.0006158735,"domain_scores_codex":[0.9992766,0.00009339844,0.00004231772,0.0001217504,0.0004137803,0.00005216806],"domain_scores_gemma":[0.9993184,0.0001814674,0.0001963168,0.000207239,0.00007233491,0.00002427931],"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":[0.00008006096,0.00004488011,0.0003616544,0.0002381953,0.00002062711,0.000153106,0.0001243839,0.005258993,0.961454,0.001783203,0.0002905231,0.03019036],"study_design_scores_gemma":[0.0000112412,0.0002353545,0.001977972,0.00002653074,0.00002817393,0.0007621339,0.00002427855,0.008221596,0.9779446,0.0004870101,0.01022263,0.00005857186],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2837963,0.007912624,0.6895665,0.000292994,0.0003543369,0.000494069,0.0004512639,0.001624768,0.01550712],"genre_scores_gemma":[0.582447,0.00292301,0.4060767,0.0001738489,0.00004699512,0.000308356,0.0002942797,0.0003720204,0.0073578],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001117547,"threshold_uncertainty_score":0.004788637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01701937729508851,"score_gpt":0.3346430746061371,"score_spread":0.3176236973110486,"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."}}