{"id":"W4283651012","doi":"10.2351/7.0000663","title":"Laser engineering of ITO/ZnO/ITO structures for photodetector applications","year":2022,"lang":"en","type":"article","venue":"Journal of Laser Applications","topic":"ZnO doping and properties","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Materials science; Photodetector; Optoelectronics; Fluence; Laser; Responsivity; Band gap; Wavelength; Nanosecond; Nanomaterials; Optics; Nanotechnology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003367388,0.00009587815,0.0001994947,0.0001180429,0.0002445691,0.00003155926,0.0004108648,0.00002944262,0.0002769311],"category_scores_gemma":[0.00002752449,0.00008364684,0.0001147578,0.0002053736,0.00003622277,0.00009182082,0.00006559765,0.0001427005,0.000007214546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005761983,"about_ca_system_score_gemma":0.0001012229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001141847,"about_ca_topic_score_gemma":0.000002302521,"domain_scores_codex":[0.9989962,0.00002895035,0.000442409,0.0001315401,0.0002501086,0.0001507903],"domain_scores_gemma":[0.9989697,0.0001475479,0.0003518228,0.0002586011,0.0002009899,0.00007128048],"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":[0.00009546148,0.0001903204,0.0001461773,0.0001679104,0.00005785305,7.497295e-7,0.0004354364,0.1501194,0.8402242,0.002038694,0.004619807,0.001904],"study_design_scores_gemma":[0.0005228125,0.0001807794,0.0002407228,0.00001556927,0.0000766063,0.00004807939,0.0003219864,0.002608194,0.6521215,0.001982282,0.3417015,0.0001799594],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8165524,0.0009349718,0.1786779,0.0007292308,0.0005071225,0.001508224,0.0007085784,0.00008254925,0.000299051],"genre_scores_gemma":[0.9830752,0.00001463702,0.01528781,0.00007619652,0.0003241734,0.001010173,0.000008823535,0.00002149538,0.0001814788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3370817,"threshold_uncertainty_score":0.3411019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01504219573032137,"score_gpt":0.2482997820487406,"score_spread":0.2332575863184193,"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."}}