{"id":"W1967455232","doi":"10.1021/bm7009416","title":"Modular Biodegradable Biomaterials from Surfactant and Polyelectrolyte Mixtures","year":2007,"lang":"en","type":"article","venue":"Biomacromolecules","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Advanced Foods and Materials Network","keywords":"Polyelectrolyte; Chemistry; Pulmonary surfactant; Chitosan; Chemical engineering; Phase inversion; Polymer chemistry; Polymer; Membrane; Organic chemistry; Biochemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003000115,0.0002814805,0.0002358362,0.00008240747,0.0001703036,0.0000842982,0.0002759991,0.0002420259,0.00003172836],"category_scores_gemma":[0.00006604248,0.0002481467,0.0000849831,0.0001311565,0.000204174,0.000006724748,0.0001470992,0.00003435782,0.00003186781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001873418,"about_ca_system_score_gemma":0.00004859405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008723487,"about_ca_topic_score_gemma":0.0001269858,"domain_scores_codex":[0.9983441,0.00006609956,0.0003400604,0.000605941,0.0001648183,0.0004789827],"domain_scores_gemma":[0.9990968,0.00002019928,0.0001098154,0.0005478873,0.00005585813,0.0001695121],"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":[0.0001012974,0.00006213087,0.0004006497,0.000008610153,0.0001117477,0.00001208184,0.00002960433,5.034962e-7,0.9947999,0.00006408177,0.0002269402,0.004182479],"study_design_scores_gemma":[0.0002935254,0.0001006746,0.003985286,0.00001130292,0.00003386317,0.00003147099,0.00002373742,0.0000244927,0.9759154,0.0002600733,0.01899584,0.0003242778],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868327,0.008017252,0.004031458,0.0002149925,0.00009192758,0.0002500722,0.0001920816,0.00006274042,0.0003067894],"genre_scores_gemma":[0.9945289,0.0003205514,0.004275016,0.0002180389,0.0001986009,0.00002702338,0.0002526934,0.00005330753,0.0001258095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01888442,"threshold_uncertainty_score":0.9999971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01079856817107914,"score_gpt":0.2344039335265879,"score_spread":0.2236053653555088,"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."}}