{"id":"W2043544950","doi":"10.1063/1.371979","title":"Intervalence band absorption in InP and related materials for optoelectronic device modeling","year":2000,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Semiconductor Quantum Structures and Devices","field":"Physics and Astronomy","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Optiwave Systems (Canada)","funders":"","keywords":"Optoelectronics; Valence band; Materials science; Electronic band structure; Absorption (acoustics); Spectral line; Range (aeronautics); Yield (engineering); Semimetal; Molecular physics; Band gap; Condensed matter physics; 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":[0.0001873911,0.0001157397,0.0002470397,0.00003350065,0.0000394036,0.0000482956,0.00009591597,0.00003577914,0.000200343],"category_scores_gemma":[0.000001098692,0.00009919193,0.0000497975,0.0000811466,0.00001650174,0.0001737738,0.000008344105,0.0001501974,0.000002605633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002600167,"about_ca_system_score_gemma":0.00003911071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001554576,"about_ca_topic_score_gemma":5.947293e-7,"domain_scores_codex":[0.9992147,0.00001094477,0.000386234,0.0001165549,0.0001074076,0.0001641583],"domain_scores_gemma":[0.9995948,0.00003497762,0.0002029057,0.00007203057,0.0000574722,0.00003779479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001104579,0.0002020058,0.0007374385,0.0001729715,0.0002959628,0.000002144799,0.00313451,0.1303361,0.7464957,0.04633252,0.0001456223,0.07104035],"study_design_scores_gemma":[0.004854083,0.0002983489,0.0006609873,0.000333931,0.0001811721,0.00001824638,0.001032334,0.07318131,0.260826,0.6574586,0.0005400223,0.0006149461],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983751,0.0001193927,0.0005517966,0.00001264987,0.00007389406,0.0001242498,0.000009130201,0.000003781433,0.0007299854],"genre_scores_gemma":[0.9993384,0.00003837872,0.0002707364,0.00002978343,0.0002871527,0.000005531264,0.000006944641,0.00001402792,0.000009010864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6111261,"threshold_uncertainty_score":0.4044929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01312172650249569,"score_gpt":0.2544482171413386,"score_spread":0.2413264906388429,"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."}}