{"id":"W2013560735","doi":"10.1021/ac403723t","title":"Real-Time Monitoring of Membrane-Protein Reconstitution by Isothermal Titration Calorimetry","year":2013,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Lipid Membrane Structure and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Austrian Science Fund; University of Toronto; Deutsche Forschungsgemeinschaft","keywords":"Chemistry; Isothermal titration calorimetry; Titration; Calorimetry; Isothermal process; Membrane; Amperometric titration; Chromatography; Thermodynamics; Inorganic chemistry; Biochemistry; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001484817,0.0007603988,0.0008561931,0.0006834112,0.0004341543,0.0006811818,0.00100572,0.0006252546,0.0008840241],"category_scores_gemma":[0.002072225,0.0003177644,0.0003377911,0.001007519,0.0007047786,0.0007135087,0.0005167627,0.001682257,0.0004682959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008765946,"about_ca_system_score_gemma":0.000523327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008921085,"about_ca_topic_score_gemma":0.0007724583,"domain_scores_codex":[0.9988763,0.0002639623,0.00007393259,0.0002379138,0.0004285982,0.0001193081],"domain_scores_gemma":[0.9990244,0.0004085703,0.0001414249,0.0001092857,0.0002337701,0.00008249409],"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":[0.0001392007,0.00008212867,0.000407693,0.00004710212,0.00001470907,0.00001862778,0.00005614845,0.0005836425,0.9953754,0.0001989819,0.00006804695,0.003008221],"study_design_scores_gemma":[0.00000767175,0.00006762781,0.0006111147,0.00000333932,0.000007878075,0.00002297666,0.00001133167,0.008802091,0.9899248,0.00007741339,0.0004501634,0.00001363678],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8307968,0.00253604,0.1587942,0.000283075,0.0001628232,0.0003402584,0.00187698,0.002842359,0.00236741],"genre_scores_gemma":[0.9181643,0.002216334,0.07625476,0.0001111415,0.00005133046,0.000635703,0.001018962,0.0002090442,0.001338498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001484817,"threshold_uncertainty_score":0.007852554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007093430459349966,"score_gpt":0.2375557471478704,"score_spread":0.2304623166885205,"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."}}