{"id":"W2162175281","doi":"10.1021/ma800470j","title":"Morphology of Comb-Shaped Proton Exchange Membrane Copolymers Based on a Neutron Scattering Study","year":2008,"lang":"en","type":"article","venue":"Macromolecules","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Steacie Institute for Molecular Sciences","funders":"Division of Materials Research; National Institute of Standards and Technology; U.S. Department of Commerce; National Science Foundation","keywords":"Neutron scattering; Small-angle neutron scattering; Ionomer; Neutron diffraction; Membrane; Proton; Structure factor; Materials science; Neutron; Swelling; Scattering; Morphology (biology); Proton exchange membrane fuel cell; Copolymer; Chemical physics; Crystallography; Chemistry; Composite material; Crystal structure; Optics; Physics; Polymer; Nuclear physics","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":[0.00008860735,0.0002050119,0.0003221644,0.0001324608,0.00005720117,0.000009750652,0.0001518511,0.00009941793,0.0003036817],"category_scores_gemma":[0.000004838759,0.000187702,0.00006056407,0.0001263928,0.00008267302,0.00002678162,0.00003331642,0.0001176276,0.00004223519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002447819,"about_ca_system_score_gemma":0.00001034991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000694006,"about_ca_topic_score_gemma":0.000002916274,"domain_scores_codex":[0.999041,0.00006262012,0.0002706346,0.0002025725,0.0001559509,0.000267244],"domain_scores_gemma":[0.9995795,0.00002793172,0.00005104268,0.0002648489,0.00001880885,0.00005779292],"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":[0.00009776858,0.000295733,0.0005230351,0.001146484,0.00006259363,0.0003438446,0.000504592,0.01242515,0.9844283,0.000002057778,0.00009494331,0.00007548546],"study_design_scores_gemma":[0.002731068,0.0009585498,0.002222872,0.0001182783,0.00005110105,0.00005575,0.0001239777,0.0184859,0.9742221,0.000005339406,0.0005943264,0.0004307897],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946392,0.0004230706,0.00003635294,0.00003032702,0.0003196201,0.0007895633,0.00001831618,0.0001807809,0.003562756],"genre_scores_gemma":[0.999383,0.0001804503,0.0001085417,0.00005888364,0.00003074706,0.0001195113,0.00001428165,0.00005669513,0.00004787965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01020626,"threshold_uncertainty_score":0.7654266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01299525152167532,"score_gpt":0.2152416467171827,"score_spread":0.2022463951955074,"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."}}