{"id":"W2072323881","doi":"10.1088/0268-1242/24/12/125002","title":"Radiative defect state identification in semi-insulating GaAs using photo-carrier Radiometry","year":2009,"lang":"en","type":"article","venue":"Semiconductor Science and Technology","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Photoluminescence; Radiometry; Diffusion; Radiative transfer; Spontaneous emission; Materials science; Optoelectronics; Quantum efficiency; Optics; Carrier lifetime; Chemistry; Analytical Chemistry (journal); Physics; Silicon; Laser","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002922227,0.0002533826,0.0001780807,0.0003735561,0.0001168129,0.0004099119,0.000478852,0.0002380278,0.0003984157],"category_scores_gemma":[0.0007737539,0.0002010076,0.0001548629,0.0002162571,0.0004050647,0.0003130208,0.0002257071,0.0002387859,0.0001287757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001934421,"about_ca_system_score_gemma":0.0001430307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006882387,"about_ca_topic_score_gemma":0.000778168,"domain_scores_codex":[0.9998012,0.00004584273,0.00001219066,0.00004302133,0.00007436597,0.00002335075],"domain_scores_gemma":[0.9996297,0.0001375769,0.00008772386,0.00007272883,0.00005776602,0.00001441866],"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":[0.00004743924,0.00001145405,0.0009178466,0.00002793124,0.000004580006,0.00003074056,0.00003627686,0.0006994532,0.9947643,0.000193223,0.00001356192,0.003253084],"study_design_scores_gemma":[0.00000535387,0.0001482932,0.003132421,0.000004687469,0.00001047555,0.0001469675,0.0000330903,0.0147847,0.981353,0.0001360476,0.0002335507,0.00001127483],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855959,0.0002146042,0.01372607,0.00001633147,0.000005076013,0.00001334401,0.00006492187,0.00007527357,0.0002884014],"genre_scores_gemma":[0.9899128,0.0001228205,0.009622566,0.000004391251,0.000001339426,0.00001169324,0.00004897386,0.000009938092,0.0002656227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006882387,"threshold_uncertainty_score":0.001545489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009680205324618016,"score_gpt":0.2454537943410005,"score_spread":0.2357735890163825,"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."}}