{"id":"W4392198347","doi":"10.3390/photonics11030212","title":"On-Chip Lasers for Silicon Photonics","year":2024,"lang":"en","type":"article","venue":"Photonics","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Optoelectronics; Photonics; Laser; Silicon photonics; Silicon; Materials science; Chip; Silicon chip; Optics; Semiconductor laser theory; Computer science; Telecommunications; Physics; Semiconductor","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":[0.0001587583,0.000226782,0.0002120955,0.00008562957,0.00005933021,0.0001116287,0.0002043963,0.0001333273,0.0001765431],"category_scores_gemma":[0.00004742218,0.0002093468,0.0001726261,0.0001940632,0.00003675799,0.0001069732,0.00002248682,0.0002786229,0.0003574062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001260577,"about_ca_system_score_gemma":0.00005578973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006065609,"about_ca_topic_score_gemma":0.00002176097,"domain_scores_codex":[0.998898,0.000007096527,0.0002145284,0.000289159,0.0001628678,0.0004283061],"domain_scores_gemma":[0.9991412,0.0003983323,0.00001066478,0.0002899652,0.00002284073,0.0001370208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002590102,0.0002984762,0.00002903081,0.005037869,0.001126249,0.0002005541,0.001967232,0.133692,0.04338116,0.7289504,0.06286211,0.02219591],"study_design_scores_gemma":[0.0002032743,0.00007557654,0.000009376396,0.0000852265,0.00003450648,0.000004991998,0.0000262951,0.7413719,0.02891438,0.005161772,0.2238746,0.0002381021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7985121,0.009481292,0.003306933,0.0003166795,0.004525268,0.001294364,0.0003754897,0.00299068,0.1791972],"genre_scores_gemma":[0.9962559,0.0005596755,0.001788577,0.0004789865,0.00005463654,0.0001895951,0.00003671317,0.0001073053,0.0005285911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7237886,"threshold_uncertainty_score":0.8536913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01260680228119334,"score_gpt":0.2424943170580881,"score_spread":0.2298875147768948,"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."}}