{"id":"W2033449430","doi":"10.1021/ja100815a","title":"Analyzing Protein Folding Cooperativity by Differential Scanning Calorimetry and NMR Spectroscopy","year":2010,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Chemistry; Differential scanning calorimetry; Cooperativity; Folding (DSP implementation); Population; Nuclear magnetic resonance spectroscopy; Microsecond; Heat capacity; Protein folding; Downhill folding; Crystallography; Relaxation (psychology); Chemical physics; Native state; Phi value analysis; Thermodynamics; Stereochemistry","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":[0.001863206,0.0005601984,0.0007699967,0.0008174598,0.0003435374,0.0004211786,0.0006338931,0.0005100758,0.0003350881],"category_scores_gemma":[0.0018694,0.0003528819,0.0003446401,0.0007332807,0.0006720216,0.0005952825,0.00058683,0.0007732187,0.0001083178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005327475,"about_ca_system_score_gemma":0.0002817137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006258499,"about_ca_topic_score_gemma":0.0005818978,"domain_scores_codex":[0.9989676,0.0002359437,0.00007025303,0.0002855472,0.0003588626,0.0000817498],"domain_scores_gemma":[0.9982343,0.0009015821,0.0003358057,0.0002254364,0.0001962333,0.0001066175],"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":[0.00007857032,0.00005201563,0.002611392,0.00003948478,0.00002379928,0.0000261565,0.00006815933,0.001853851,0.990909,0.0002242523,0.00001779742,0.004095475],"study_design_scores_gemma":[0.00001790482,0.0004277464,0.01724319,0.000008299292,0.0000399789,0.0002382829,0.0000983548,0.04983252,0.9305629,0.0006599933,0.0008340178,0.00003684449],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9650884,0.0004210896,0.03382698,0.00004252558,0.000007934053,0.0000467122,0.0001156449,0.000127224,0.000323472],"genre_scores_gemma":[0.9565372,0.000514104,0.04221809,0.00004563115,0.00001501273,0.0001701818,0.0001977356,0.00004390067,0.0002580626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001863206,"threshold_uncertainty_score":0.009853721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003208131728326213,"score_gpt":0.2395121287502445,"score_spread":0.2363039970219183,"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."}}