{"id":"W4388331912","doi":"10.3390/photonics10111233","title":"Comparative Study of Photonic Platforms and Devices for On-Chip Sensing","year":2023,"lang":"en","type":"article","venue":"Photonics","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Silicon photonics; Sensitivity (control systems); Footprint; Figure of merit; Waveguide; Resonator; Computer science; Reliability (semiconductor); Materials science; Silicon nitride; Chip; Photonics; Electronic engineering; Silicon; Optoelectronics; Telecommunications; Engineering; Physics","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":[0.0001743794,0.0001658542,0.0003475662,0.0001021698,0.0000757091,0.00002317423,0.0001011698,0.00005660916,0.000006918533],"category_scores_gemma":[0.00001753579,0.0001424316,0.00004534374,0.0002553171,0.00003823368,0.00007839003,0.00003791037,0.0001272053,0.00001916268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002743478,"about_ca_system_score_gemma":0.00001550559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001727023,"about_ca_topic_score_gemma":0.0002358868,"domain_scores_codex":[0.9991381,0.000006406126,0.0002407,0.0001922894,0.0001498509,0.0002726342],"domain_scores_gemma":[0.9993105,0.0003560002,0.00004000904,0.0001846282,0.00003718209,0.00007167926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002688182,0.00365835,0.01166832,0.009835771,0.007749836,0.0002479456,0.2087288,0.5126836,0.1641044,0.04173375,0.005447612,0.03145345],"study_design_scores_gemma":[0.001217262,0.0005366964,0.004445172,0.00007379564,0.0000617945,0.000003355637,0.006104323,0.9546195,0.03008808,0.001027406,0.001541823,0.0002808562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947425,0.0001806518,0.00004526264,0.000006329282,0.0001622794,0.000640462,0.00002567441,0.0002177843,0.003979082],"genre_scores_gemma":[0.9992552,0.00007693302,0.0005348701,0.00003180309,0.00001186761,0.00002923347,0.000009496219,0.0000256664,0.00002487485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4419359,"threshold_uncertainty_score":0.5808193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04490055079507485,"score_gpt":0.2906493817234257,"score_spread":0.2457488309283508,"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."}}