{"id":"W2078537943","doi":"10.1117/12.732528","title":"A comprehensive model to predict solid state lighting performance","year":2007,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Semiconductor Lasers and Optical Devices","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Philips (Canada)","funders":"","keywords":"Junction temperature; Dissipation; Thermal; Feed forward; Computer science; Light-emitting diode; Thermal management of electronic devices and systems; Bandwidth (computing); Heat sink; Control theory (sociology); Materials science; Mechanical engineering; Optoelectronics; Control engineering; Engineering; Physics; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0004079661,0.0008572449,0.0008742477,0.000575325,0.000511312,0.0008825727,0.00118176,0.001460564,0.005622958],"category_scores_gemma":[0.001214414,0.000630378,0.001020997,0.0005024603,0.0004043795,0.001513809,0.0004153466,0.0009402224,0.002011489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001148805,"about_ca_system_score_gemma":0.001342319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009542245,"about_ca_topic_score_gemma":0.007564791,"domain_scores_codex":[0.999715,0.00003388964,0.00001099421,0.00004855513,0.0001540331,0.00003750633],"domain_scores_gemma":[0.9996431,0.0001295675,0.00003199929,0.00003877547,0.0001374004,0.00001907681],"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":[0.000009529045,0.0000162825,0.0002201934,0.00002385211,0.000008889817,0.0000195588,0.0000111148,0.992409,0.001913373,0.002011185,0.0004304848,0.002926593],"study_design_scores_gemma":[0.000002417754,0.000007698216,0.00008320443,0.000002372845,0.000002888379,0.000005752872,0.000001435486,0.9981754,0.0004580707,0.0006848852,0.0005728871,0.000002967989],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07555863,0.0006652301,0.8809546,0.0005583915,0.000144175,0.0002050798,0.001957696,0.004057117,0.03589906],"genre_scores_gemma":[0.9026981,0.0008806478,0.06032317,0.0001622891,0.00007307301,0.0005910417,0.001388312,0.000504966,0.03337843],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009542245,"threshold_uncertainty_score":0.01897341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01427299999570975,"score_gpt":0.2336204861519491,"score_spread":0.2193474861562393,"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."}}