{"id":"W2936129076","doi":"10.7150/thno.31225","title":"Use of Porphysomes to detect primary tumour, lymph node metastases, intra-abdominal metastases and as a tool for image-guided lymphadenectomy: proof of concept in endometrial cancer","year":2019,"lang":"en","type":"article","venue":"Theranostics","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Terry Fox Research Institute; Princess Margaret Cancer Foundation","keywords":"Medicine; Lymph; Pathology; Lymph node; Lymphadenectomy; Histopathology; Biodistribution; Endometrial cancer; Abdomen; Cancer; Nuclear medicine; Radiology; Biology; Internal medicine; In vivo","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":[0.0003423271,0.0003551463,0.0002208848,0.0001499183,0.00009264482,0.0002298946,0.0002199173,0.0005106372,0.0004431794],"category_scores_gemma":[0.000152888,0.0001890058,0.000216066,0.00008351563,0.0002809059,0.0002770297,0.0002136554,0.0002747319,0.0001430467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000182878,"about_ca_system_score_gemma":0.0001657051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003865577,"about_ca_topic_score_gemma":0.0004624398,"domain_scores_codex":[0.9998779,0.0000317402,0.000005051479,0.00003086613,0.00003474562,0.00001958157],"domain_scores_gemma":[0.9999156,0.00001851081,0.00002513019,0.00001403446,0.00001128445,0.00001541666],"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":[0.0001315722,0.00002158555,0.0002020248,0.00004522643,0.000003913866,0.00006263673,0.00001134651,0.00006317949,0.9978357,0.00002979172,0.0000131643,0.001579918],"study_design_scores_gemma":[0.00003832132,0.001534761,0.003036923,0.000008333782,0.00003045497,0.0007879661,0.00002272576,0.001148351,0.9921396,0.00002287457,0.001224803,0.000004943134],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9756414,0.003641282,0.01947535,0.0001183467,0.00001751084,0.0001453809,0.0001220786,0.00007599505,0.00076252],"genre_scores_gemma":[0.9739869,0.002131092,0.02221262,0.00004111262,0.000007022702,0.00008575334,0.0001113524,0.0000158203,0.001408349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005106372,"threshold_uncertainty_score":0.001810431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02049661977948302,"score_gpt":0.258987043423437,"score_spread":0.238490423643954,"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."}}