{"id":"W4312155657","doi":"10.1039/d2py01244h","title":"Asymmetric side-chain engineering in semiconducting polymers: a platform for greener processing and post-functionalization of organic electronics","year":2022,"lang":"en","type":"article","venue":"Polymer Chemistry","topic":"Organic Electronics and Photovoltaics","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Basic Energy Sciences; Natural Sciences and Engineering Research Council of Canada; Ministry of Science and Technology, Taiwan; University of Windsor; Canada Foundation for Innovation; Ontario Research Foundation; U.S. Department of Energy","keywords":"Side chain; Surface modification; Polymer; Alkyl; Electronics; Organic electronics; Materials science; Chemistry; Polymer chemistry; Nanotechnology; Chemical engineering; Combinatorial chemistry; Organic chemistry; Electrical engineering; Engineering; Transistor","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":[0.0001035156,0.0003440159,0.0001206462,0.00014473,0.00009492703,0.0002110496,0.0001917757,0.0001989019,0.0007377249],"category_scores_gemma":[0.0001461209,0.0001030935,0.0001043189,0.0001563534,0.0001801126,0.0003026111,0.0001647934,0.0005630608,0.0003443884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001411815,"about_ca_system_score_gemma":0.0001587695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001023904,"about_ca_topic_score_gemma":0.0002293661,"domain_scores_codex":[0.9999126,0.00001279761,0.000004537351,0.00001895835,0.00003217733,0.00001887747],"domain_scores_gemma":[0.9999163,0.00001427663,0.00003122239,0.00000949274,0.00001547529,0.00001320807],"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":[0.00001615771,0.00001386067,0.00003777751,0.00003318529,0.000001086758,0.00003359604,0.000009866033,0.0001548147,0.9947432,0.0006530968,0.00003583838,0.004267499],"study_design_scores_gemma":[0.000003297685,0.0001110012,0.000205212,0.000001837212,0.000002937604,0.0001198936,0.000003380078,0.00072192,0.9962769,0.0001307983,0.002419992,0.000002636593],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9328807,0.001972805,0.0539931,0.0002357357,0.00006063368,0.00006512804,0.0002136106,0.0002651583,0.01031314],"genre_scores_gemma":[0.9729268,0.001543541,0.02087399,0.00008870239,0.00002913471,0.00003721456,0.0002105801,0.00006024044,0.004229785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007377249,"threshold_uncertainty_score":0.00246793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006015704704411724,"score_gpt":0.1869954157315618,"score_spread":0.1809797110271501,"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."}}