{"id":"W2512330635","doi":"10.1117/1.jbo.21.8.084002","title":"Porphysome nanoparticles for enhanced photothermal therapy in a patient-derived orthotopic pancreas xenograft cancer model: a pilot study","year":2016,"lang":"en","type":"article","venue":"Journal of Biomedical Optics","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research","keywords":"Photothermal therapy; Pancreatic cancer; Photodynamic therapy; Biodistribution; Radiation therapy; Medicine; Materials science; Pancreas; Porphyrin; Cancer; Pancreatic tumor; Cancer research; Biomedical engineering; Radiology; Nanotechnology; Chemistry; Internal medicine","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":[0.0004393843,0.0004769744,0.0005318403,0.0002107397,0.0001757742,0.0003081805,0.000251506,0.0005817838,0.0007789477],"category_scores_gemma":[0.0001610068,0.0001572186,0.0004296115,0.0002131957,0.0001919286,0.0003132812,0.000166371,0.0007002394,0.0001880567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003169142,"about_ca_system_score_gemma":0.0002868535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001061554,"about_ca_topic_score_gemma":0.001011402,"domain_scores_codex":[0.9998281,0.00003378697,0.00001072255,0.0000505468,0.00004117582,0.00003570705],"domain_scores_gemma":[0.999864,0.00003560985,0.0000272738,0.0000264171,0.00001713942,0.00002947167],"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":[0.000224604,0.0005153904,0.00006827866,0.00004289995,0.00001073865,0.00006654881,0.00003122002,0.0003760985,0.9975976,0.00004191081,0.00004747419,0.000977187],"study_design_scores_gemma":[0.0001019079,0.004868512,0.001055195,0.00000388194,0.00003840761,0.0001725896,0.0000253078,0.001843839,0.9909003,0.00002015454,0.0009629464,0.000006962414],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947709,0.0004542046,0.003598537,0.00006634924,0.00002889445,0.0001976271,0.0002746645,0.00004938299,0.0005592692],"genre_scores_gemma":[0.9939077,0.0006888554,0.003535933,0.00003465138,0.00001005347,0.0001683184,0.0003157246,0.00002723657,0.001311476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001061554,"threshold_uncertainty_score":0.002605796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02218445543724656,"score_gpt":0.2576554906604664,"score_spread":0.2354710352232199,"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."}}