{"id":"W2743819800","doi":"10.1021/acsnano.7b02702","title":"Design and Characterization of a Therapeutic Non-phospholipid Liposomal Nanocarrier with Osteoinductive Characteristics To Promote Bone Formation","year":2017,"lang":"en","type":"article","venue":"ACS Nano","topic":"Cholesterol and Lipid Metabolism","field":"Medicine","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"National Institute of Dental and Craniofacial Research; National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institutes of Health","keywords":"Phospholipid; Liposome; Nanocarriers; In vivo; Drug delivery; Amphiphile; Oxysterol; Chemistry; In vitro; Biophysics; Phosphatidylcholine; Materials science; Cholesterol; Biochemistry; Nanotechnology; Membrane; Biology; Organic chemistry; Biotechnology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002888969,0.0002775468,0.000219467,0.0002916563,0.0001347222,0.0003057011,0.0002243193,0.0003547396,0.0003880778],"category_scores_gemma":[0.0002705436,0.0001286726,0.0002012469,0.0001169347,0.0001925924,0.0002443565,0.0002059809,0.0002234061,0.0002883182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004000867,"about_ca_system_score_gemma":0.000350536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006466296,"about_ca_topic_score_gemma":0.0005964519,"domain_scores_codex":[0.9998378,0.00002258003,0.00002159629,0.00003183451,0.00006298588,0.00002331591],"domain_scores_gemma":[0.9998418,0.00002075642,0.0000525231,0.00001345663,0.00004341364,0.00002802616],"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":[0.00002918079,0.00001907986,0.00007053604,0.00002900638,0.000002319768,0.00002156104,0.000008716791,0.0001838572,0.9980351,0.0001251451,0.00001451475,0.001461031],"study_design_scores_gemma":[0.00001303083,0.0002050974,0.0004971759,0.000003198879,0.000009343792,0.00008523484,0.000008642485,0.002149393,0.9951004,0.00002544643,0.001897637,0.000005280149],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9426069,0.002407053,0.05183968,0.0002271595,0.00003417485,0.0005197746,0.0003367736,0.0001363867,0.001892045],"genre_scores_gemma":[0.9530491,0.001182233,0.04238142,0.0001245021,0.00001222057,0.0003307357,0.0004294532,0.0000391662,0.002451213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006466296,"threshold_uncertainty_score":0.002902806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0170272137715105,"score_gpt":0.249104547659666,"score_spread":0.2320773338881555,"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."}}