{"id":"W2808402227","doi":"10.1039/c8tc01484a","title":"Charge transfer doping in functionalized silicon nanosheets/P3HT hybrid material for applications in electrolyte-gated field-effect transistors","year":2018,"lang":"en","type":"article","venue":"Journal of Materials Chemistry C","topic":"Semiconductor materials and devices","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Studienstiftung des Deutschen Volkes; Deutsche Forschungsgemeinschaft; Technische Universität München; Public Health Agency of Canada","keywords":"Materials science; Silicon; Substrate (aquarium); Doping; Electrolyte; Hydrosilylation; Surface modification; Field-effect transistor; Transistor; Nanotechnology; Hybrid material; Thermal; Optoelectronics; Chemical engineering; Electrode; Organic chemistry; Catalysis; Electrical engineering; Voltage","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004649409,0.0002274299,0.0005512119,0.00009776364,0.00003683542,0.00007497615,0.0001847714,0.0001495769,0.001894564],"category_scores_gemma":[0.00003990633,0.000205098,0.00009735866,0.0001047631,0.00002647291,0.0001722125,0.000006472203,0.00009875722,0.000004504663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001106191,"about_ca_system_score_gemma":0.00003885608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001134625,"about_ca_topic_score_gemma":0.000005684872,"domain_scores_codex":[0.9985453,0.00004070009,0.0008120523,0.0001662885,0.0001363288,0.0002992727],"domain_scores_gemma":[0.9995131,0.0001185144,0.00009756329,0.000130957,0.00007549943,0.00006431858],"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":[0.000630112,0.00003365132,0.00005048885,0.0005250669,0.00003670327,0.00000416476,0.00008545939,0.00003348792,0.9982633,0.000005417698,0.0002275828,0.000104543],"study_design_scores_gemma":[0.001742096,0.0001090089,0.0001212495,0.0001351875,0.00003174478,0.00004330501,0.00001574474,0.00003264004,0.9936767,0.00005850529,0.003835243,0.0001985785],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978924,0.0001687797,0.0001930243,0.00003592547,0.001128943,0.0003043163,0.00009331861,0.00004463389,0.0001386419],"genre_scores_gemma":[0.9985764,0.00005623297,0.0000603744,0.00002922411,0.001094679,0.00006916597,0.00005820014,0.00003934719,0.00001636415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004586626,"threshold_uncertainty_score":0.9990178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007166298002585265,"score_gpt":0.2223990049369568,"score_spread":0.2152327069343715,"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."}}