{"id":"W2213211432","doi":"10.1016/j.jvir.2015.10.019","title":"Image-Guided Biopsy in the Era of Personalized Cancer Care: Proceedings from the Society of Interventional Radiology Research Consensus Panel","year":2015,"lang":"en","type":"article","venue":"Journal of Vascular and Interventional Radiology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":116,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Cancer Agency; University of British Columbia","funders":"National Cancer Institute","keywords":"Medicine; Biopsy; Radiology; Personalized medicine; Percutaneous; Precision medicine; Medical physics; Pathology; Bioinformatics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002140569,0.0001149614,0.0003324862,0.00005249822,0.00004994041,0.00001574823,0.0003619346,0.0001473841,0.000040194],"category_scores_gemma":[0.0005572891,0.00007347241,0.0006938425,0.0001095692,0.00078644,0.000006690035,0.0001210908,0.0003640148,3.551771e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005537552,"about_ca_system_score_gemma":0.0003106942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005400894,"about_ca_topic_score_gemma":0.00007191843,"domain_scores_codex":[0.9983744,0.0003260007,0.000658071,0.0001839168,0.0002786555,0.0001789374],"domain_scores_gemma":[0.9981892,0.0002327374,0.0003982559,0.0001305379,0.0009920063,0.00005732433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004005178,0.001574043,0.2239083,0.0006074392,0.006320387,0.00004868325,0.01308718,0.0004557244,0.3728645,0.01068059,0.3627973,0.003650735],"study_design_scores_gemma":[0.03715844,0.01564612,0.6866294,0.002053863,0.001297602,0.007268195,0.05902588,0.001340319,0.02472644,0.02456582,0.1391198,0.001168194],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9497079,0.04737592,0.0002940703,0.0020832,0.0002185455,0.0001422193,0.0001173566,6.44652e-7,0.00006018703],"genre_scores_gemma":[0.9951947,0.002810902,0.001287153,0.0001656866,0.0004519818,0.0000148839,0.00004859073,0.000009852775,0.00001622858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.462721,"threshold_uncertainty_score":0.2996118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07008083333761657,"score_gpt":0.3576727232119944,"score_spread":0.2875918898743778,"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."}}