{"id":"W2737109035","doi":"10.1039/c7fd00111h","title":"Exploring the construction of multicompartmental micelles by halogen bonding of complementary macromolecules","year":2017,"lang":"en","type":"article","venue":"Faraday Discussions","topic":"Surfactants and Colloidal Systems","field":"Chemistry","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto Public Health","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Micelle; Macromolecule; Halogen bond; Aqueous solution; Halogen; Chemistry; Polystyrene; Solvent; Polymer chemistry; Derivative (finance); Chemical engineering; Materials science; Organic chemistry; Alkyl; Polymer","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":[0.00007444069,0.0001204522,0.0002122988,0.00001844583,0.000549369,0.00003406404,0.0003686803,0.00002454096,0.0002529702],"category_scores_gemma":[0.00001863646,0.00006855413,0.0001057504,0.00002669779,0.0002218785,0.000124169,0.0001477127,0.00007852128,0.00000313091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002633764,"about_ca_system_score_gemma":0.00001365094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007751306,"about_ca_topic_score_gemma":0.00006707854,"domain_scores_codex":[0.9991276,0.0000237291,0.0003254497,0.0001560512,0.0002027459,0.0001643804],"domain_scores_gemma":[0.9990951,0.00005646605,0.00032681,0.0004514334,0.0000199407,0.00005021394],"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":[0.00002565223,0.0001084017,0.05114361,0.00005550382,0.0001111705,0.000001798154,0.0006320209,0.000002695563,0.9413854,0.001275611,0.0007934625,0.004464636],"study_design_scores_gemma":[0.0008417977,0.00002082021,0.01065262,0.0002739381,0.00008038461,0.00001293805,0.02206442,0.0001340387,0.9459516,0.0001411153,0.01961496,0.0002113489],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945428,0.0001686689,0.00001432164,0.0003810367,0.0002519921,0.00008930355,0.0005357496,0.00001472029,0.004001445],"genre_scores_gemma":[0.9992446,0.00004098571,0.0001991482,0.000004212207,0.00004144309,0.00002372592,0.0000509699,0.00001222804,0.0003827282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04049099,"threshold_uncertainty_score":0.4225358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06431636444574407,"score_gpt":0.2768876619542323,"score_spread":0.2125712975084882,"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."}}