{"id":"W2184270297","doi":"10.1021/acsnano.5b06038","title":"Tunable Affinity and Molecular Architecture Lead to Diverse Self-Assembled Supramolecular Structures in Thin Films","year":2015,"lang":"en","type":"article","venue":"ACS Nano","topic":"Block Copolymer Self-Assembly","field":"Materials Science","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Basic Energy Sciences; Division of Materials Research; Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Silsesquioxane; Nanostructure; Copolymer; Self-assembly; Chemical engineering; Polystyrene; Nanotechnology; Thin film; Supramolecular chemistry; Polymer chemistry; Molecule; Chemistry; Polymer; Organic chemistry; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008147651,0.0002005539,0.0001132771,0.0001223415,0.00007460388,0.0001965725,0.0001453688,0.0001582989,0.0003832156],"category_scores_gemma":[0.0001638851,0.0001600373,0.00007910244,0.00009013966,0.0001255002,0.0001952068,0.0001279546,0.0001902034,0.0001590923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001903413,"about_ca_system_score_gemma":0.00008903473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000168753,"about_ca_topic_score_gemma":0.0005376993,"domain_scores_codex":[0.9999431,0.000008224871,0.00000574988,0.00001448023,0.00001470632,0.00001377591],"domain_scores_gemma":[0.9999084,0.00002428285,0.00002701976,0.000007446532,0.00001542358,0.00001739808],"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":[0.000007684466,0.000003397024,0.00004600762,0.000009232104,0.000001378046,0.00001032987,0.000005190801,0.00003924394,0.9994742,0.00004126445,0.000006733552,0.0003553653],"study_design_scores_gemma":[0.000002713724,0.00002990429,0.0004407122,0.000001196308,0.000004990069,0.00003600262,0.000004855475,0.0007018339,0.9983996,0.00001623556,0.0003608049,0.000001182978],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967197,0.0005304096,0.001810616,0.00002821303,0.000005887752,0.00000888085,0.00003161186,0.00005898073,0.0008055497],"genre_scores_gemma":[0.9968144,0.0003137132,0.002119029,0.00002319032,0.000003308529,0.000008561758,0.00004843526,0.00001281813,0.0006564832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0003832156,"threshold_uncertainty_score":0.001381099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01243281115040419,"score_gpt":0.2426529570958551,"score_spread":0.2302201459454509,"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."}}