{"id":"W2619179648","doi":"10.1038/natrevmats.2017.26","title":"Engineering charge transport by heterostructuring solution-processed semiconductors","year":2017,"lang":"en","type":"review","venue":"Nature Reviews Materials","topic":"Perovskite Materials and Applications","field":"Engineering","cited_by":148,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Semiconductor; Charge carrier; Optoelectronics; Diode; Materials science; Exciton; Nanotechnology; Electron; Degrees of freedom (physics and chemistry); Semiconductor device; Engineering physics; Physics; Condensed matter physics","routes":{"ca_aff":true,"ca_fund":false,"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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.000547104,0.001056478,0.003788642,0.0001534371,0.000177487,0.0003384432,0.001003545,0.001337966,0.0007093549],"category_scores_gemma":[0.00006693698,0.0008600852,0.0005075386,0.000145765,0.00003429624,0.0003400568,0.0000609651,0.0007103091,0.0004445667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001606743,"about_ca_system_score_gemma":0.00004770315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004971189,"about_ca_topic_score_gemma":9.818644e-7,"domain_scores_codex":[0.996935,0.00006616321,0.001536266,0.0006423054,0.0002058813,0.0006144109],"domain_scores_gemma":[0.9980454,0.00003267221,0.0005821684,0.001135088,0.00003590311,0.0001686997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000258888,0.00003357945,2.33837e-7,0.297538,0.0004099956,0.00001253702,0.00004416877,0.0000052355,0.2802981,0.0001443617,0.02320454,0.3983066],"study_design_scores_gemma":[0.00007833187,0.000003877426,5.558284e-7,0.01285864,0.0003898641,0.00003459512,1.848915e-7,0.000002085148,0.009699656,0.000004204842,0.9761353,0.0007927718],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000322269,0.9926786,0.00003281727,0.000005787488,0.002812714,0.001687891,0.001795139,0.0004613432,0.0002033765],"genre_scores_gemma":[0.0002981118,0.9949605,0.0002031003,0.00001504744,0.001000369,0.0009309846,0.002124201,0.0002588017,0.0002088491],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9529307,"threshold_uncertainty_score":0.9999585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04235690699358625,"score_gpt":0.3184700073404299,"score_spread":0.2761131003468437,"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."}}