{"id":"W3175189220","doi":"10.82308/40554","title":"Novel nanoparticles for breast cancer targeted delivery: preparation and in vitro characterization","year":2009,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Faculty of Medicine, McGill University; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Breast cancer; Nanoparticle; Nanotechnology; Cancer; Medicine; Computer science; Materials science; Internal medicine","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":[0.00045939,0.0003232796,0.0002954066,0.0001854815,0.0002346216,0.0003130963,0.0001708314,0.0004458599,0.0009998888],"category_scores_gemma":[0.0002963151,0.0002110844,0.0002872465,0.0001802642,0.0001452251,0.0003216104,0.0001835018,0.0003521788,0.0006221128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003396371,"about_ca_system_score_gemma":0.0003631787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007596311,"about_ca_topic_score_gemma":0.001755167,"domain_scores_codex":[0.9997734,0.00003586386,0.00001798263,0.00005400227,0.00009049986,0.00002824264],"domain_scores_gemma":[0.9998864,0.00003113882,0.00002425195,0.00000900958,0.00004086299,0.00000836966],"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":[0.00005026501,0.00003131114,0.00009680493,0.0001459951,0.000005096241,0.00003611511,0.00004634088,0.0002347885,0.9955435,0.00009677742,0.00008666142,0.003626358],"study_design_scores_gemma":[0.000005358054,0.0002347505,0.0005557295,0.000008142848,0.00001126128,0.0001048492,0.00001859939,0.0009284736,0.9934582,0.00002789616,0.00464077,0.000006046278],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9179627,0.01062367,0.06194056,0.0003907136,0.0001705212,0.0004710884,0.000569806,0.0002558544,0.007615045],"genre_scores_gemma":[0.8940876,0.01029047,0.07136218,0.0002503148,0.00005329617,0.0006470444,0.0009361287,0.0001129915,0.02226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009998888,"threshold_uncertainty_score":0.003345013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01313421669695876,"score_gpt":0.2354868100859177,"score_spread":0.2223525933889589,"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."}}