{"id":"W2026866753","doi":"10.1016/j.bpj.2012.06.004","title":"Membrane-Active Peptides and the Clustering of Anionic Lipids","year":2012,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Lipid Membrane Structure and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":131,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research","keywords":"Chemistry; Cluster analysis; Membrane lipids; Membrane; Biochemistry; Biophysics; Chromatography; Biology; Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001317274,0.00009046654,0.0001342129,0.00001414538,0.00008684824,0.0000170665,0.0001004085,0.00005559927,0.00001298356],"category_scores_gemma":[0.00002592304,0.00005171508,0.0001038912,0.00003669487,0.0001993648,0.000008809868,0.00007679302,0.0001257601,0.000001620888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004442881,"about_ca_system_score_gemma":0.0000183955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005570218,"about_ca_topic_score_gemma":0.000001131711,"domain_scores_codex":[0.9994507,0.00006012828,0.0001349716,0.00008112517,0.0001020041,0.0001710269],"domain_scores_gemma":[0.9996556,0.00001602598,0.00008647532,0.0001134145,0.00004100483,0.00008746809],"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":[0.0002026336,0.00003135531,0.0002321587,0.000009682289,0.00003533527,3.472063e-7,0.0001265006,0.000002509935,0.9964086,0.0001780547,0.00004011656,0.002732753],"study_design_scores_gemma":[0.0009216175,0.0001052091,0.006734733,0.00001068134,0.00005635236,0.0001786026,0.0001278297,0.00002227585,0.9897227,0.000007307378,0.002026427,0.00008623743],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989502,0.0000679621,0.0001846437,0.0001175538,0.0003002803,0.00005996048,0.000004527,0.000002288864,0.0003125445],"genre_scores_gemma":[0.9976987,0.0001603035,0.0001479602,0.00008583812,0.001820012,0.000002323869,0.00000310138,0.00000878631,0.00007298368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006685826,"threshold_uncertainty_score":0.210888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01048562822937588,"score_gpt":0.2512759824500281,"score_spread":0.2407903542206522,"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."}}