{"id":"W1536102301","doi":"10.1016/s0076-6879(03)72007-2","title":"Liposomes as Models for Antimicrobial Peptides","year":2003,"lang":"en","type":"article","venue":"Methods in enzymology on CD-ROM/Methods in enzymology","topic":"Antimicrobial Peptides and Activities","field":"Immunology and Microbiology","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Hamilton Health Sciences; McMaster University Medical Centre","funders":"Consiglio Nazionale delle Ricerche","keywords":"Antimicrobial peptides; Peptide; Isothermal titration calorimetry; Membrane; Liposome; Chemistry; Lipid bilayer; Antimicrobial; Vesicle; Biological membrane; Tryptophan; Biophysics; Biochemistry; Combinatorial chemistry; Amino acid; Biology; Organic chemistry","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.008829008,0.001158054,0.00266343,0.00164054,0.0004302461,0.00004919036,0.001106297,0.00256288,0.0007365653],"category_scores_gemma":[0.004627164,0.001158631,0.0006204432,0.0008528589,0.001976055,0.0003498454,0.0003315425,0.002219463,0.0001994667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003265938,"about_ca_system_score_gemma":0.0003554373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000600254,"about_ca_topic_score_gemma":0.0006142634,"domain_scores_codex":[0.9800932,0.01342253,0.001903936,0.002055393,0.00008531335,0.002439585],"domain_scores_gemma":[0.9870697,0.01078076,0.0006422048,0.001211334,0.0001832933,0.0001127449],"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":[0.001334888,0.00121463,0.001052625,0.0001200303,0.0003182575,0.0001230012,0.001365992,0.001732692,0.8282661,0.1350871,0.004608364,0.02477633],"study_design_scores_gemma":[0.009329554,0.002741914,0.004324976,0.000258736,0.000192474,0.002526281,0.001407209,0.0001001831,0.6833115,0.2316456,0.06187933,0.002282203],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6678609,0.005248073,0.2858056,0.001512366,0.0119829,0.003299137,0.0002003622,0.0004932329,0.0235975],"genre_scores_gemma":[0.2431424,0.0004046279,0.7474769,0.003035939,0.000134825,0.0004205457,0.00008572164,0.00017359,0.005125424],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4616713,"threshold_uncertainty_score":0.9990864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0513832355860004,"score_gpt":0.3827537221246905,"score_spread":0.3313704865386901,"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."}}