{"id":"W2517611802","doi":"10.1109/pn.2016.7537969","title":"Supporting silicon photonics R&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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002619875,0.0008481164,0.0003281069,0.001541616,0.00422617,0.003763524,0.00111537,0.002079009,0.04224439],"category_scores_gemma":[0.002644562,0.0003334161,0.0004626432,0.001853449,0.001342047,0.001117774,0.001676294,0.001307497,0.01203864],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0317666,"about_ca_system_score_gemma":0.1577034,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8658762,"about_ca_topic_score_gemma":0.9205014,"domain_scores_codex":[0.9968375,0.0001005751,0.00004405353,0.0001900641,0.001982392,0.0008453424],"domain_scores_gemma":[0.9942178,0.0002426002,0.0001471414,0.0001697581,0.003821323,0.001401447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002566969,0.0001272804,0.002605905,0.0004543235,0.00002180054,0.0006452129,0.0005528587,0.00183437,0.01755311,0.0794566,0.666225,0.2302668],"study_design_scores_gemma":[0.00003807765,0.00005130768,0.001600273,0.00008085954,0.000007831127,0.0001090683,0.0002211521,0.001619821,0.006168671,0.001525693,0.9885583,0.00001903834],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02121546,0.009644438,0.02041062,0.04972247,0.003137082,0.0004044234,0.004258511,0.002923762,0.8882832],"genre_scores_gemma":[0.09486517,0.009269269,0.0233696,0.004127981,0.0002543996,0.0001134008,0.00213277,0.0002732638,0.8655943],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9682334,"threshold_uncertainty_score":0.2698273,"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."}}