{"id":"W2163385235","doi":"10.1158/0008-5472.can-08-1128","title":"Interstitial Doppler Optical Coherence Tomography as a Local Tumor Necrosis Predictor in Photodynamic Therapy of Prostatic Carcinoma: An<i>In vivo</i>Study","year":2008,"lang":"en","type":"article","venue":"Cancer Research","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; Toronto Metropolitan University; University Health Network; University of Toronto","funders":"","keywords":"Photodynamic therapy; Medicine; Necrosis; In vivo; Prostate; Nuclear medicine; Optical coherence tomography; Ultrasound; Pathology; Radiology; Cancer; Internal medicine; Chemistry","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":[0.0004455963,0.0002199257,0.0003568765,0.0007148554,0.00007285942,0.00003165295,0.0005389442,0.00008931885,0.0003706447],"category_scores_gemma":[0.00003531383,0.0002164534,0.00007481913,0.002401404,0.0008416153,0.0001990424,0.00007367943,0.0007546467,0.00001265359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000255868,"about_ca_system_score_gemma":0.0002581521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003497247,"about_ca_topic_score_gemma":0.002894178,"domain_scores_codex":[0.9975135,0.0001533061,0.0004749445,0.0004717635,0.0006846065,0.0007018406],"domain_scores_gemma":[0.9988538,0.0002126156,0.00002675111,0.0004962397,0.0001822232,0.0002283573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001551315,0.004387946,0.5685498,0.0003909379,0.0001513458,0.0004768042,0.01195944,0.008190436,0.399624,0.001169471,0.0006838114,0.002864731],"study_design_scores_gemma":[0.00969264,0.00559856,0.7325732,0.0005050539,0.00002590623,0.0000642189,0.005402425,0.0559779,0.18686,0.001775463,0.0001815626,0.001343071],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960794,0.0003116268,0.0001701273,0.00003178987,0.00006007779,0.002096976,0.000064356,0.00008441063,0.001101277],"genre_scores_gemma":[0.9963734,0.0001267175,0.0001848892,0.00001420666,0.00003188059,0.003203691,0.000004912839,0.00004676075,0.00001355497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2127639,"threshold_uncertainty_score":0.8826715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03733472883451232,"score_gpt":0.3306947472537813,"score_spread":0.293360018419269,"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."}}