{"id":"W4399766042","doi":"10.32920/26052835","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); Field (mathematics); Liposome; Materials science; Nuclear magnetic resonance; Nanotechnology; Physics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00004034321,0.0003362194,0.0003819779,0.0002001703,0.000023485,0.0001040352,0.0002439952,0.0004695729,0.00006919527],"category_scores_gemma":[0.000008944445,0.0003396059,0.0001350853,0.0002016591,0.00001666168,0.00005586022,0.000335788,0.00068538,0.00003418266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001054029,"about_ca_system_score_gemma":0.00006461436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007448656,"about_ca_topic_score_gemma":0.000004013339,"domain_scores_codex":[0.9987761,0.00002166454,0.0004723901,0.0003019586,0.0002022181,0.000225617],"domain_scores_gemma":[0.9992381,0.00003805487,0.00006171009,0.000537014,0.00005926074,0.00006587434],"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":[0.00001496553,0.000006131249,0.00003530052,0.009315342,0.00004489956,0.00003656874,0.0002683728,0.01498922,0.9725919,0.0006169496,0.0001786686,0.001901664],"study_design_scores_gemma":[0.00008966797,0.0000292306,0.0001121842,0.004247035,0.00007976386,0.0000303818,0.00001448917,0.4443581,0.5504457,0.00001429843,0.0002167083,0.0003624643],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855677,0.007816117,0.0006432587,0.00004164266,0.001863326,0.0004146808,0.0001215218,0.0008344905,0.002697297],"genre_scores_gemma":[0.9968408,0.00006169688,0.001198852,0.00003147177,0.0003031968,0.00002921159,0.0000950261,0.00009286719,0.001346857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4293689,"threshold_uncertainty_score":0.9999056,"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."}}