{"id":"W4399766041","doi":"10.32920/26052835.v1","title":"Characterization of Liposomal Release Temperature Using a Low Field Magnetic Resonance System","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Fiber-reinforced polymer composites","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Western University","funders":"","keywords":"Characterization (materials science); Liposome; Materials science; Field (mathematics); Nuclear magnetic resonance; Magnetic field; Nanotechnology; Physics","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":[0.0003851903,0.000162156,0.0001453788,0.0002440724,0.0001270434,0.000245944,0.0001245458,0.0001897507,0.0008754372],"category_scores_gemma":[0.0005090566,0.000104315,0.0001315605,0.0001479478,0.0002318351,0.0002589942,0.0001104401,0.0003334434,0.0004884972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002014193,"about_ca_system_score_gemma":0.0001164204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004400205,"about_ca_topic_score_gemma":0.0003395589,"domain_scores_codex":[0.9998384,0.00003106003,0.00001767214,0.00004804936,0.00004471646,0.00002017631],"domain_scores_gemma":[0.9997473,0.00007412625,0.00006868206,0.00002737529,0.00006219974,0.00002034502],"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":[0.00004048176,0.000005942173,0.00007770552,0.00001254052,0.000001227986,0.00001181799,0.00001641308,0.00005137466,0.9991776,0.00001684903,0.00001089753,0.0005770611],"study_design_scores_gemma":[0.000003617124,0.0001042496,0.001241515,0.000003066165,0.000005189807,0.00003169307,0.00001178538,0.0009358119,0.9972152,0.000009851229,0.0004338635,0.000004297244],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765954,0.0009140566,0.02060832,0.00006628549,0.00002240527,0.00007242505,0.000381299,0.000193456,0.001146425],"genre_scores_gemma":[0.9841034,0.0005812545,0.01213983,0.00007303128,0.0000106952,0.0001037944,0.0004600196,0.00009176893,0.002436091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008754372,"threshold_uncertainty_score":0.002928674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004440985267260874,"score_gpt":0.186581420375387,"score_spread":0.1821404351081262,"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."}}