{"id":"W4295973422","doi":"10.3390/photonics9080557","title":"Development of High Refractive Index Polydimethylsiloxane Waveguides Doped with Benzophenone via Solvent-Free Fabrication for Biomedical Pressure Sensing","year":2022,"lang":"en","type":"article","venue":"Photonics","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Hôpital du Sacré-Cœur de Montréal; École de Technologie Supérieure","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Polydimethylsiloxane; Materials science; Refractive index; Cladding (metalworking); Fabrication; Optoelectronics; Optics; High-refractive-index polymer; Waveguide; Optical power; Laser; Composite material","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":[0.0002150328,0.0001566576,0.0002601307,0.00008614685,0.0001735145,0.00001199926,0.0001643907,0.00004893243,0.00004074518],"category_scores_gemma":[0.00007145181,0.000152043,0.0000276624,0.0001841543,0.0000371415,0.00007747339,0.0000976688,0.000121512,6.894269e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000110622,"about_ca_system_score_gemma":0.00006107872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008153433,"about_ca_topic_score_gemma":0.00001954958,"domain_scores_codex":[0.9989206,0.0000280099,0.0003384697,0.000202089,0.0002708957,0.000239993],"domain_scores_gemma":[0.9993396,0.00009196455,0.0001258629,0.0002918336,0.00008907098,0.00006171],"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":[0.0002325196,0.00006936768,0.000006631036,0.0001718265,0.0002102789,0.000004013298,0.0009476903,0.1968327,0.7935944,0.0001468181,0.0001491235,0.007634697],"study_design_scores_gemma":[0.001370973,0.0001575939,0.0003082073,0.00004328015,0.00008368331,0.00002137056,0.000319118,0.09976976,0.8656548,0.001107117,0.03077644,0.0003876605],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7146392,0.0001825316,0.2838152,0.00003231998,0.0004437538,0.000368127,0.0001127287,0.0002059012,0.0002002325],"genre_scores_gemma":[0.7943425,0.000004567773,0.2053438,0.00001462672,0.00003371755,0.00004869065,0.0001063181,0.00004343145,0.00006230258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09706293,"threshold_uncertainty_score":0.6200134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01282590217483055,"score_gpt":0.2263149645714745,"score_spread":0.213489062396644,"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."}}