{"id":"W2517611802","doi":"10.1109/pn.2016.7537969","title":"Supporting silicon photonics R&amp;D in Canada","year":2016,"lang":"en","type":"article","venue":"","topic":"solar cell performance optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CMC Microsystems (Canada)","funders":"","keywords":"Photonics; Silicon photonics; Microsystem; Silicon; Engineering; Wafer fabrication; Wafer; Computer science; Manufacturing engineering; Materials science; Optoelectronics; Nanotechnology; Electrical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004345107,0.00005348956,0.00005540133,0.00002906104,0.000008175393,0.000004620441,0.00004465483,0.00002037991,0.0006081028],"category_scores_gemma":[0.00001609274,0.00004050842,0.000007080272,0.00007914037,0.000002865669,0.0001046838,0.000007698213,0.00003474135,0.00003926801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003744866,"about_ca_system_score_gemma":0.0001006368,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2113642,"about_ca_topic_score_gemma":0.9370354,"domain_scores_codex":[0.9995602,0.000002675889,0.0001307598,0.00006032769,0.00006369587,0.0001823835],"domain_scores_gemma":[0.9998338,0.0000194327,0.0000105449,0.0000989341,0.000008214638,0.00002909724],"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":[0.000006754296,0.0000105782,0.3672257,0.00006624538,0.00001840745,0.00001301823,0.000275209,0.4956207,0.07168123,0.00009769158,0.01372868,0.05125577],"study_design_scores_gemma":[0.0004391162,0.000004302856,0.0112687,0.00003305807,0.000002060864,0.000003596014,0.00009713518,0.9415629,0.02911476,0.00002090482,0.01719697,0.0002564912],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982295,0.00003190684,0.003673155,0.00004769039,0.0001762115,0.000057528,0.000001396553,0.00008659578,0.01363047],"genre_scores_gemma":[0.996989,0.00004145582,0.002503105,0.00004776997,0.000007389659,0.00000472465,0.000001931079,0.00001428023,0.0003903456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7256712,"threshold_uncertainty_score":0.7938874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006535977241151114,"score_gpt":0.1976300127701995,"score_spread":0.1910940355290484,"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."}}