{"id":"W2617098998","doi":"10.1155/2017/8424686","title":"In Vivo 3T Magnetic Resonance Imaging Using a Biologically Specific Contrast Agent for Prostate Cancer: A Nude Mouse Model","year":2017,"lang":"en","type":"article","venue":"Journal of Nanotechnology","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thunder Bay Regional Health Sciences Centre; Lakehead University","funders":"","keywords":"In vivo; Magnetic resonance imaging; Nuclear magnetic resonance; Materials science; Nuclear medicine; Medicine; Biology; Radiology; Physics","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":[0.0003368846,0.000158818,0.0005004114,0.0003326337,0.0001687468,0.00004141608,0.0003210158,0.0001605452,0.00002994556],"category_scores_gemma":[0.0001654851,0.0001114294,0.0001235317,0.00009245301,0.0003566651,0.0001490883,0.00008764886,0.0004108032,0.000001112392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004107009,"about_ca_system_score_gemma":0.0003510175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004948518,"about_ca_topic_score_gemma":0.00003095301,"domain_scores_codex":[0.9986371,0.00002164603,0.0004598809,0.0002304228,0.0001815567,0.0004693758],"domain_scores_gemma":[0.9989023,0.00003818331,0.0003932243,0.0003247763,0.0002612032,0.00008034764],"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":[0.003675035,0.0002849541,0.01841109,0.00006768262,0.00003762859,0.0008803663,0.00017,0.0001892884,0.9124385,0.0002521336,0.001204395,0.062389],"study_design_scores_gemma":[0.05313426,0.005795659,0.007360894,0.002179818,0.0002908644,0.001992673,0.0005651633,0.08382344,0.7403378,0.01283915,0.09081846,0.0008618471],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9593415,0.02336367,0.00137378,0.01488211,0.000192004,0.0007298014,0.00005870965,0.00001904788,0.00003942667],"genre_scores_gemma":[0.9777961,0.0131984,0.007280087,0.0002509887,0.0001384302,0.00005395777,8.901008e-7,0.00002771802,0.00125336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1721006,"threshold_uncertainty_score":0.4543958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04893549175885675,"score_gpt":0.3482023620350881,"score_spread":0.2992668702762313,"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."}}