{"id":"W2470977417","doi":"10.1038/srep28468","title":"Spatially resolved photoresponse on individual ZnO nanorods: correlating morphology, defects and conductivity","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"ZnO doping and properties","field":"Materials Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Science and Engineering Research Board; Indian Institute of Science Education and Research Mohali; University of Surrey; Department of Science and Technology, Ministry of Science and Technology, India; Queen's University Belfast; Indian Institute of Science Education and Research Thiruvananthapuram; UK-India Education and Research Initiative; Queen's University","keywords":"Nanorod; Morphology (biology); Conductivity; Materials science; Optoelectronics; Nanotechnology; Chemistry; Biology; Genetics","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":[],"consensus_categories":[],"category_scores_codex":[0.004125121,0.000182161,0.0002335191,0.000139147,0.0005239524,0.0003408434,0.0001569735,0.0001030465,0.0003627189],"category_scores_gemma":[0.001841785,0.0001117274,0.00004978381,0.0001555828,0.0008895736,0.0002940684,0.0001742549,0.00009537897,0.0001604968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004148043,"about_ca_system_score_gemma":0.0001835388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009539241,"about_ca_topic_score_gemma":0.00004121318,"domain_scores_codex":[0.9974692,0.0003175004,0.0003888709,0.000925716,0.0004957002,0.0004029576],"domain_scores_gemma":[0.9984077,0.0003203742,0.0003082948,0.0007185106,0.0001100985,0.000135064],"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":[0.00009144074,0.0000339126,0.007458886,0.00001090501,0.000004485292,0.0002236019,0.0005275615,0.00002770526,0.986515,0.00004983283,0.003503276,0.001553358],"study_design_scores_gemma":[0.0002994687,0.0001913125,0.006455977,0.0002002518,0.00001876788,0.0004361287,0.00005813442,0.00003744721,0.9795521,0.002407716,0.01006356,0.0002791748],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905564,0.0001813543,0.00009627859,0.0001912108,0.007956333,0.0002343998,0.00001276621,0.0001330702,0.0006381546],"genre_scores_gemma":[0.9960967,0.000003070277,0.0006130168,0.00007352777,0.00007420125,0.00001663372,0.000005194773,0.00001604712,0.003101575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007882132,"threshold_uncertainty_score":0.4556112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03530077976281408,"score_gpt":0.2524070801432839,"score_spread":0.2171063003804698,"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."}}