{"id":"W2271695776","doi":"10.1103/physreve.94.062405","title":"Thermal unfolding of myoglobin in the Landau-Ginzburg-Wilson approach","year":2016,"lang":"en","type":"article","venue":"Physical review. E","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Narodowe Centrum Nauki; Vetenskapsrådet; Fundacja na rzecz Nauki Polskiej","keywords":"Myoglobin; Folding (DSP implementation); Crystallography; Molten globule; Chemistry; Protein folding; Atmospheric temperature range; Chemical physics; Physics; Thermodynamics; Nuclear magnetic resonance; Circular dichroism","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":[0.0004709162,0.0005400291,0.00059832,0.0005336349,0.000626419,0.0005645157,0.0008192581,0.0007466332,0.001405526],"category_scores_gemma":[0.000446222,0.0002627604,0.0006367372,0.0003502076,0.001197458,0.0009465448,0.0006392261,0.0005278285,0.0003151576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00110227,"about_ca_system_score_gemma":0.0006750997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001514592,"about_ca_topic_score_gemma":0.00118036,"domain_scores_codex":[0.9998775,0.00004989058,0.000004212479,0.00001961869,0.00003009933,0.00001871884],"domain_scores_gemma":[0.9999425,0.0000174295,0.000009167778,0.00001043783,0.00000939516,0.00001097444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004911554,0.00004053959,0.0004821655,0.0001429726,0.00003447478,0.0003507381,0.0002125837,0.2327311,0.028564,0.7302976,0.0004603098,0.006634305],"study_design_scores_gemma":[0.0000222943,0.00006206792,0.0003889259,0.00001484696,0.00001028832,0.00009612551,0.00004443466,0.7160147,0.001835945,0.2791878,0.002300888,0.00002167583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3761284,0.005412893,0.5747858,0.001279619,0.0002279519,0.0002416253,0.0001529678,0.0003073733,0.04146342],"genre_scores_gemma":[0.9267208,0.002814305,0.05894047,0.0002458008,0.00008639238,0.0003444833,0.00007793238,0.0001062452,0.01066358],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001514592,"threshold_uncertainty_score":0.007997572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008675284711630335,"score_gpt":0.2850327058764254,"score_spread":0.2763574211647951,"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."}}