{"id":"W4389669722","doi":"10.1007/s10854-023-11736-5","title":"Optoelectronic property correlation with structure and valence band spectra for Fe-doped Zn2SnO4-nanostructured films","year":2023,"lang":"en","type":"article","venue":"Journal of Materials Science Materials in Electronics","topic":"ZnO doping and properties","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"Aeronautics Research and Development Board","keywords":"Materials science; Band gap; Doping; Raman spectroscopy; Figure of merit; Refractive index; Optoelectronics; Valence (chemistry); Dopant; Analytical Chemistry (journal); Condensed matter physics; Optics; Chemistry; 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":[],"consensus_categories":[],"category_scores_codex":[0.003761366,0.0003692476,0.0007511725,0.0004817207,0.0004128756,0.0008324595,0.0007796891,0.0001577361,0.0002194118],"category_scores_gemma":[0.0004341167,0.0002184799,0.00004090401,0.0007654424,0.0005662167,0.001062671,0.00009978087,0.0002035737,0.00001151353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002911542,"about_ca_system_score_gemma":0.001118434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004179747,"about_ca_topic_score_gemma":0.00003461525,"domain_scores_codex":[0.9962954,0.0002234799,0.001006564,0.0005604893,0.0007604638,0.001153636],"domain_scores_gemma":[0.9982116,0.0001101061,0.000812288,0.0003269853,0.0003966614,0.0001423084],"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":[0.001035522,0.00002003483,0.0001016322,0.0001561623,0.00000986176,0.00001159643,0.0004368505,0.002397865,0.9950913,0.0003695767,0.0001981561,0.0001714352],"study_design_scores_gemma":[0.0009984161,0.00159762,0.000851806,0.0002673778,0.00003847116,0.0003863923,0.0001531266,0.000352802,0.9914546,0.003263809,0.0002840803,0.0003514953],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963343,0.0003989921,0.0001453386,0.0002937636,0.001973588,0.000659741,0.0001056097,0.00006598799,0.00002269048],"genre_scores_gemma":[0.9962539,0.0003671506,0.002818025,0.00006289483,0.0002500336,0.00002555956,0.00001603216,0.00004627596,0.0001601494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003636704,"threshold_uncertainty_score":0.8909353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01150431306701589,"score_gpt":0.2432062622776969,"score_spread":0.231701949210681,"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."}}