{"id":"W2065582284","doi":"10.1200/jco.2006.06.6159","title":"New Technologies and Directed Agents for Applications of Cancer Imaging","year":2006,"lang":"en","type":"review","venue":"Journal of Clinical Oncology","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Molecular imaging; Magnetic resonance imaging; Medicine; Positron emission tomography; Functional imaging; Preclinical imaging; Modality (human–computer interaction); Medical imaging; Radiology; In vivo; Computer science","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":[0.0007130554,0.0001883953,0.002125199,0.0001144716,0.00002782087,0.000006836465,0.0003186663,0.0006825946,0.000006381373],"category_scores_gemma":[0.0007321254,0.0001403734,0.0007724281,0.0001113641,0.0001785614,0.000003592729,0.0001096836,0.0003707097,3.754752e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002702182,"about_ca_system_score_gemma":0.002125844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004371283,"about_ca_topic_score_gemma":0.00009538161,"domain_scores_codex":[0.9974818,0.0001134257,0.001883477,0.0002496178,0.0001011804,0.0001704545],"domain_scores_gemma":[0.9962583,0.0003163579,0.002817428,0.0002199564,0.000290523,0.00009744742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005582512,0.00008814096,0.00006951612,0.0006108382,0.0002780638,8.164818e-7,0.00000132549,6.05263e-7,0.00003557201,0.00002927658,0.04087897,0.9579511],"study_design_scores_gemma":[0.0009818011,0.0003581059,0.0001050829,0.0004247657,0.001249369,0.00003898119,0.000009891707,0.000001132338,0.00003181997,0.0001902452,0.996482,0.0001268124],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004090275,0.9954626,0.002192926,0.0002018285,0.001388042,0.000446477,0.00006638988,0.00000803169,0.0001928188],"genre_scores_gemma":[0.00002122673,0.9890887,0.006206895,0.0000689661,0.003771113,0.00006719941,0.00002765724,0.00002503715,0.0007232566],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9578242,"threshold_uncertainty_score":0.572426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09089741032772808,"score_gpt":0.4946897041564547,"score_spread":0.4037922938287267,"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."}}