{"id":"W4416853838","doi":"10.1016/j.bpj.2025.11.2688","title":"Counting conformations by calorimetry","year":2025,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"thermodynamics and calorimetric analyses","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"","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":[0.001717658,0.001726943,0.001151363,0.002941274,0.001050644,0.001295913,0.002212469,0.0007489927,0.006895425],"category_scores_gemma":[0.002791596,0.000854462,0.0006168357,0.002136473,0.001179377,0.001721003,0.001162135,0.003561668,0.002294602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004610184,"about_ca_system_score_gemma":0.0003788272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003207212,"about_ca_topic_score_gemma":0.000686124,"domain_scores_codex":[0.9975232,0.0005552478,0.0001388439,0.0007847885,0.0007489083,0.0002489126],"domain_scores_gemma":[0.997777,0.0008317992,0.0002279653,0.0006166928,0.0004280625,0.0001184035],"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":[0.0003166512,0.0002075042,0.002775001,0.0002750706,0.0001214971,0.00008360612,0.0002642538,0.001906323,0.9174145,0.01432391,0.002156063,0.06015562],"study_design_scores_gemma":[0.00001160355,0.0001688466,0.00234961,0.00003334329,0.00008170029,0.0001623508,0.00005993241,0.01422712,0.9720926,0.003468307,0.007293534,0.00005103623],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3547983,0.003145322,0.6149911,0.0003752747,0.0006158053,0.0003301261,0.00209233,0.004008348,0.01964345],"genre_scores_gemma":[0.6736173,0.00564863,0.2938438,0.00077009,0.0001903268,0.0012747,0.003636268,0.001294872,0.01972393],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006895425,"threshold_uncertainty_score":0.02306747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006798032912285938,"score_gpt":0.2516105576232236,"score_spread":0.2448125247109376,"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."}}