{"id":"W2783679870","doi":"10.1021/acsnano.7b08687","title":"Highly Asymmetric Phase Behaviors of Polyhedral Oligomeric Silsesquioxane-Based Multiheaded Giant Surfactants","year":2018,"lang":"en","type":"article","venue":"ACS Nano","topic":"Silicone and Siloxane Chemistry","field":"Materials Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Ministry of Science and Technology of the People's Republic of China; Division of Materials Research; Ministry of Education of the People's Republic of China; Natural Sciences and Engineering Research Council of Canada; Government of Jiangxi Province; National Natural Science Foundation of China","keywords":"Silsesquioxane; Materials science; Lamellar structure; Gyroid; Phase (matter); Amphiphile; Self-assembly; Polystyrene; Copolymer; Molecular dynamics; Chemical engineering; Polymer chemistry; Nanotechnology; Chemistry; Polymer; Composite material; Organic chemistry; Computational chemistry","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":[0.0002860583,0.0002674898,0.0004358221,0.0002102636,0.0001321385,0.00004484602,0.0005122253,0.000144036,0.0006974779],"category_scores_gemma":[0.0002026214,0.0002407571,0.0001134393,0.0008892079,0.0004160697,0.0001859703,0.00007878866,0.0001013847,0.0003697522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000685577,"about_ca_system_score_gemma":0.000215255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005053316,"about_ca_topic_score_gemma":0.00001086621,"domain_scores_codex":[0.9979064,0.00006259225,0.0005367897,0.0004733879,0.0004619161,0.0005588551],"domain_scores_gemma":[0.9985126,0.0001423428,0.0002734712,0.0006673004,0.0002095998,0.0001946462],"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":[0.0001504978,0.0004987003,0.002241479,0.00003461504,0.00000732641,0.00002675259,0.0001069772,0.000001953982,0.99525,0.00001045435,0.0003820967,0.001289159],"study_design_scores_gemma":[0.002242119,0.0004338733,0.002138712,0.00003445799,0.00004725352,0.00001420134,0.00007582399,0.00003531282,0.9945084,0.000008864735,0.0001780528,0.0002829157],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982179,0.0001570176,0.00003186789,0.00007363473,0.0005649308,0.0001800297,0.0001133816,0.0001193535,0.0005418665],"genre_scores_gemma":[0.9984694,0.00000656816,0.0008555454,0.0001594237,0.0001599691,0.00001392295,0.00002460401,0.00003287326,0.0002776743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002091621,"threshold_uncertainty_score":0.9817789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02040648357906309,"score_gpt":0.2922966082941814,"score_spread":0.2718901247151183,"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."}}