{"id":"W2169507008","doi":"10.1109/led.2010.2103044","title":"High-Gain Multiple-Gate Photodetector With Nanowires in the Channel","year":2011,"lang":"en","type":"article","venue":"IEEE Electron Device Letters","topic":"Nanowire Synthesis and Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalsa Corporation; University of Waterloo","funders":"","keywords":"Photodetector; Photocurrent; Nanowire; Optoelectronics; Materials science; Channel (broadcasting); Silicon; Logic gate; Silicon nanowires; Photoconductivity; Electronic engineering; Electrical engineering; Engineering","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":[0.0001500321,0.0001993182,0.0001669374,0.00009059138,0.00006612372,0.00002678359,0.0003309954,0.000050448,0.00001597207],"category_scores_gemma":[0.000005520497,0.0001400794,0.00004326419,0.0003191403,0.00003588084,0.00009758911,0.000005642443,0.0002319745,0.00005951336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005649815,"about_ca_system_score_gemma":0.000009376307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002917984,"about_ca_topic_score_gemma":0.0008222717,"domain_scores_codex":[0.9989843,0.0000462292,0.0001760855,0.00020651,0.0001475984,0.0004392129],"domain_scores_gemma":[0.9994909,0.00009940077,0.00003325799,0.0003276651,0.00001134459,0.00003749117],"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":[0.00004248123,0.00007607571,0.0003581197,0.00004615282,0.00007340605,0.00002583468,0.001992942,0.006558444,0.9857113,0.0001533059,0.003026832,0.001935147],"study_design_scores_gemma":[0.000507161,0.0000612304,0.004130651,0.00004341151,0.00002747618,0.00001355307,0.00008850307,0.003796275,0.9876152,0.00005621851,0.003263463,0.0003968254],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995839,0.000105834,0.00215443,0.0009536341,0.00008621351,0.0003579198,0.000004954106,0.0001839512,0.000314079],"genre_scores_gemma":[0.9975125,0.00002236987,0.0004729592,0.00149283,0.0001054525,0.000331084,0.000003166435,0.00004688007,0.00001275528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003772531,"threshold_uncertainty_score":0.5712272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0131930983764839,"score_gpt":0.1892331382368823,"score_spread":0.1760400398603983,"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."}}