{"id":"W1919158645","doi":"10.1118/1.3239491","title":"A robotic system for ‐FMISO PET‐guided intratumoral measurements","year":2009,"lang":"en","type":"article","venue":"Medical Physics","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Cancer Institute; National Institutes of Health; Memorial Sloan-Kettering Cancer Center; National Science Foundation","keywords":"Fiducial marker; Nuclear medicine; Image registration; Voxel; Medical imaging; Positron emission tomography; Biomedical engineering; Medicine; Computer science; Artificial intelligence; Radiology; Image (mathematics)","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":[0.0004398165,0.0006140697,0.0004490348,0.0004970671,0.0002669104,0.0003492857,0.0008039626,0.0004799254,0.002694083],"category_scores_gemma":[0.000383029,0.0003333916,0.0003388126,0.0001951011,0.0002502836,0.0002931444,0.0004692866,0.0004643319,0.0009787976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003520187,"about_ca_system_score_gemma":0.0008385897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009300152,"about_ca_topic_score_gemma":0.0009255704,"domain_scores_codex":[0.9995672,0.0000425442,0.00002505362,0.0001284912,0.0001946693,0.0000419767],"domain_scores_gemma":[0.9997454,0.00004181659,0.00005965369,0.00006258125,0.00006043278,0.00003001977],"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":[0.0002891382,0.0001189154,0.001147056,0.0001555339,0.0000251587,0.00009753861,0.00005093567,0.001726705,0.9285215,0.0008175142,0.001778108,0.06527208],"study_design_scores_gemma":[0.0002248341,0.003748548,0.02266818,0.00004171136,0.0001508314,0.001889405,0.00003874335,0.04136558,0.8518367,0.0003285158,0.07753786,0.0001691141],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1869899,0.0006503331,0.7974325,0.0002051004,0.0002604407,0.001174203,0.0009997737,0.006615544,0.005672207],"genre_scores_gemma":[0.485188,0.000470077,0.4968096,0.0002969414,0.00009768799,0.002744677,0.001070259,0.000224296,0.01309841],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002694083,"threshold_uncertainty_score":0.00901258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.027716454417763,"score_gpt":0.2815770162868919,"score_spread":0.2538605618691289,"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."}}