{"id":"W3010471269","doi":"10.1021/acs.macromol.0c00068","title":"How a Small Change of Oligo(<i>p</i>-phenylenevinylene) Chain Length Affects Self-Seeding of Oligo(<i>p</i>-phenylenevinylene)-Containing Block Copolymers","year":2020,"lang":"en","type":"article","venue":"Macromolecules","topic":"Organic Electronics and Photovoltaics","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Youth Innovation Promotion Association of the Chinese Academy of Sciences; Science and Technology Commission of Shanghai Municipality; Ministry of Science and Technology of the People's Republic of China; Chinese Academy of Sciences; Shanghai Municipal Education Commission; National Natural Science Foundation of China","keywords":"Micelle; Seeding; Copolymer; Materials science; Self-assembly; Fiber; Crystallization; Chemical engineering; Methanol; Polymer chemistry; Crystallography; Polymer; Nanotechnology; Chemistry; Aqueous solution; Composite material; Organic chemistry; Thermodynamics","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":[0.0003445611,0.0007784048,0.001162289,0.0002435988,0.0001186005,0.00009336635,0.0008178985,0.0003493237,0.00002986982],"category_scores_gemma":[0.0001194758,0.0008557577,0.0003883305,0.0009191906,0.0001234907,0.000189728,0.0002706243,0.0005774394,0.000007744306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001443069,"about_ca_system_score_gemma":0.0001280103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001106143,"about_ca_topic_score_gemma":0.0001024744,"domain_scores_codex":[0.9967694,0.0001182608,0.0007123761,0.0006906117,0.0005496776,0.001159665],"domain_scores_gemma":[0.9982372,0.0001996813,0.0003619827,0.0006177617,0.0001475853,0.0004357923],"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":[0.00007883373,0.0001133163,0.001340795,0.001778634,0.0005628656,0.00006296672,0.005294528,0.0002608228,0.984812,0.001750432,0.0001857137,0.003759155],"study_design_scores_gemma":[0.001275458,0.0007828087,0.0002152224,0.0003285389,0.0002280237,0.00002535571,0.0007068144,0.008516738,0.9830853,0.00009511836,0.003852324,0.0008883242],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982166,0.01173456,0.001209844,0.0007746975,0.0004249758,0.0009281115,0.0001771654,0.0007815551,0.001803127],"genre_scores_gemma":[0.9946718,0.002027039,0.002048092,0.0004250554,0.0004260105,0.00007317379,0.00003356156,0.0002663289,0.00002895363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01250582,"threshold_uncertainty_score":0.9993893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01758908514463871,"score_gpt":0.1945915828813529,"score_spread":0.1770024977367142,"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."}}