{"id":"W2169115417","doi":"10.1016/j.bpj.2011.02.030","title":"Enhancing the Mechanical Stability of Proteins through a Cocktail Approach","year":2011,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Stability (learning theory); Chemistry; Protein stability; Biophysics; Computer science; Biochemistry; Biology; Machine learning","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001897607,0.0001118727,0.0001767554,0.000009947198,0.0001975352,0.00002520178,0.0003144667,0.00003204427,0.0003054079],"category_scores_gemma":[0.000003832858,0.00006838961,0.0001928574,0.0001379097,0.0001490514,0.00009386161,0.00007798341,0.0003310102,0.00001002291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000151332,"about_ca_system_score_gemma":0.00005185388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001411073,"about_ca_topic_score_gemma":5.889648e-7,"domain_scores_codex":[0.9991502,0.00005207629,0.0003068613,0.0001460583,0.0001484462,0.0001963133],"domain_scores_gemma":[0.9993744,0.00002411793,0.0001805515,0.0002762071,0.00008559908,0.00005912519],"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":[0.00001739297,0.0005446335,0.0001823573,0.000007276307,0.00003250983,1.753825e-7,0.0006529156,3.721712e-7,0.815799,0.1819866,0.00009373068,0.0006830698],"study_design_scores_gemma":[0.0001311904,0.0000969173,0.0002226764,0.00001368671,0.00002508001,0.000003549032,0.0005899481,0.0001265029,0.9781259,0.02013779,0.0004353657,0.00009143648],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4978057,0.000004685802,0.4937837,0.00007550703,0.00003005559,0.0003110206,0.00001790593,0.0000215906,0.007949735],"genre_scores_gemma":[0.9675403,0.000001255927,0.0321255,0.00002233018,0.00022475,0.00004990228,0.000002522178,0.00001091173,0.0000224917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4697346,"threshold_uncertainty_score":0.3344002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0332615101927539,"score_gpt":0.2717626013602862,"score_spread":0.2385010911675323,"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."}}