{"id":"W6990957574","doi":"","title":"Enabling Technologies for silicon-based microphotonics","year":2005,"lang":"en","type":"article","venue":"NPARC","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Key (lock); Process (computing); Set (abstract data type); Work (physics); Emerging technologies","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007798208,0.0002697048,0.0002392038,0.000673042,0.0009039686,0.001636646,0.0003997764,0.0007315612,0.0532505],"category_scores_gemma":[0.002068494,0.0002113976,0.000206516,0.0004474024,0.0003432966,0.001678602,0.0008199559,0.0007551559,0.01581776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004572281,"about_ca_system_score_gemma":0.0009071559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003500967,"about_ca_topic_score_gemma":0.001069061,"domain_scores_codex":[0.9994016,0.00005550207,0.00002356643,0.00004282578,0.0003850095,0.00009147892],"domain_scores_gemma":[0.9988983,0.0001807329,0.00006528587,0.0001316347,0.0006131131,0.0001109313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002456695,0.0001126339,0.00175698,0.001388033,0.00003114732,0.001011386,0.0007358564,0.0007623754,0.08669813,0.1549487,0.2459225,0.5063865],"study_design_scores_gemma":[0.00002759116,0.00008714748,0.001565805,0.0001507433,0.00001709619,0.0005834782,0.0002595404,0.001216545,0.04360811,0.02070519,0.9317572,0.00002156319],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06453548,0.02561137,0.06058748,0.03108819,0.02151595,0.0005547345,0.001487382,0.002446112,0.7921733],"genre_scores_gemma":[0.3992184,0.03190752,0.04221326,0.002585642,0.005738614,0.0002711469,0.001369427,0.0004217984,0.5162742],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0532505,"threshold_uncertainty_score":0.1781406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01007142898894211,"score_gpt":0.2208311810361709,"score_spread":0.2107597520472287,"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."}}