{"id":"W4381839713","doi":"10.1021/acs.jpclett.3c00845","title":"Probing the Mechanism of Action of Small-Molecule Ice Recrystallization Inhibitors Using Proton Nuclear Magnetic Resonance Relaxation","year":2023,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry Letters","topic":"Freezing and Crystallization Processes","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canadian Blood Services","keywords":"Recrystallization (geology); Nuclear magnetic resonance; Molecule; Relaxation (psychology); Magnetic resonance imaging; Materials science; Chemistry; Physics; Geology; Medicine; Organic chemistry; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001837446,0.0002942381,0.0002205649,0.00007771732,0.00007152084,0.0001385233,0.0001929451,0.0002284076,0.0005006607],"category_scores_gemma":[0.0001792483,0.0001095553,0.0001758867,0.00004315004,0.00018253,0.000188678,0.00007524556,0.0003097258,0.0001311499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001825505,"about_ca_system_score_gemma":0.0001424465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005374505,"about_ca_topic_score_gemma":0.0007418006,"domain_scores_codex":[0.9999336,0.0000158498,0.000003645955,0.0000130942,0.00001412029,0.00001966539],"domain_scores_gemma":[0.9999177,0.00003310959,0.00002473856,0.000005670631,0.000009174547,0.00000952086],"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":[0.00005094365,0.000009242364,0.00005867735,0.00002341866,0.000003656216,0.00001249252,0.00000409749,0.0001730239,0.9987336,0.00003164012,0.00001949802,0.0008796355],"study_design_scores_gemma":[0.000009209039,0.0002565903,0.0009247552,0.000002332815,0.000005130473,0.00004225027,0.000004324542,0.0007695542,0.9974422,0.00001811743,0.0005225244,0.000003082283],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857007,0.004988962,0.007583519,0.0001372335,0.0000289971,0.00005199599,0.0002409366,0.0000838918,0.001183798],"genre_scores_gemma":[0.9946166,0.001564578,0.002718278,0.00007355112,0.000008451297,0.00003685099,0.0001803296,0.000008510013,0.0007928972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005374505,"threshold_uncertainty_score":0.001674831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01460299646096608,"score_gpt":0.2130201343118742,"score_spread":0.1984171378509081,"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."}}