{"id":"W2563816781","doi":"","title":"Investigation of Porphyrin and Lipid Supramolecular Assemblies for Cancer Imaging and Therapy","year":2015,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Mitacs","keywords":"Porphyrin; Supramolecular chemistry; Cancer; Cancer therapy; Nanotechnology; Medicine; Materials science; Chemistry; Internal medicine; Biochemistry; Organic chemistry; Molecule","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001399946,0.0001267218,0.0001109107,0.0001202126,0.0001297312,0.0002557539,0.0001221864,0.0002209128,0.0009085693],"category_scores_gemma":[0.00008171865,0.00008460531,0.00009435719,0.0001023321,0.0001112017,0.0002349265,0.0001349612,0.0002563244,0.0002075284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002411489,"about_ca_system_score_gemma":0.0002065636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002622928,"about_ca_topic_score_gemma":0.0003471525,"domain_scores_codex":[0.9999515,0.000007193822,0.000001411162,0.00001199902,0.00001843901,0.000009421741],"domain_scores_gemma":[0.9999802,0.000006951101,0.000004087628,0.00000113257,0.000003253624,0.0000044029],"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":[0.00002987967,0.00003711613,0.0001067344,0.0001546843,0.000004448678,0.00006359151,0.00005027332,0.0005267488,0.9891522,0.001611022,0.0001972933,0.008066032],"study_design_scores_gemma":[0.00001270477,0.0003736788,0.0009943087,0.0000241598,0.00001127449,0.0001697056,0.00005643116,0.004307127,0.9801429,0.0003844957,0.01351717,0.000006127575],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9181405,0.04138019,0.02005703,0.0009544326,0.00007574957,0.0002211487,0.0002225035,0.0001661334,0.01878243],"genre_scores_gemma":[0.9414264,0.02028348,0.02101997,0.0002700295,0.00003400521,0.0002019791,0.0001852734,0.00002910692,0.01654974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009085693,"threshold_uncertainty_score":0.003039539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01475373270456313,"score_gpt":0.240243256509502,"score_spread":0.2254895238049389,"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."}}