{"id":"W2054684978","doi":"10.3390/s90200859","title":"Performance of a Diaphragmed Microlens for a Packaged Microspectrometer","year":2009,"lang":"en","type":"article","venue":"Sensors","topic":"Advanced optical system design","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Institute of Biomedical Imaging and Bioengineering; National Heart, Lung, and Blood Institute","keywords":"Microlens; Fabrication; Materials science; Optics; Microelectromechanical systems; Lens (geology); Calibration; Focal length; Molding (decorative); Measure (data warehouse); Lithography; Interferometry; Optoelectronics; Computer science; Physics","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":[0.0005737443,0.0005939334,0.0003516439,0.0002894248,0.000237457,0.0004169855,0.0008837504,0.0008681071,0.0009778435],"category_scores_gemma":[0.0009436884,0.0003926056,0.0003048943,0.0001419476,0.0002767974,0.0006009131,0.000337861,0.000410892,0.0006365512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004734809,"about_ca_system_score_gemma":0.0003405886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005078532,"about_ca_topic_score_gemma":0.0008035701,"domain_scores_codex":[0.9992932,0.00005539004,0.00003883879,0.000192729,0.0003545942,0.00006513484],"domain_scores_gemma":[0.9988519,0.0003125843,0.0002474951,0.0001677087,0.0002854525,0.0001347786],"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":[0.00004693619,0.00001938411,0.0003529704,0.00003990925,0.000007095433,0.00004932177,0.00002619055,0.0001635558,0.9959238,0.00006818671,0.00006294482,0.003239766],"study_design_scores_gemma":[0.000009336759,0.0004671497,0.00288543,0.000004439651,0.00001851168,0.0002108383,0.00001221337,0.004184801,0.9908008,0.00001545258,0.001377748,0.0000132347],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9362438,0.001203215,0.05913484,0.0002071312,0.0001636483,0.0001104289,0.000348843,0.001223024,0.001365136],"genre_scores_gemma":[0.8898928,0.0002814646,0.106888,0.0001246502,0.00004527428,0.00006010121,0.0002893013,0.000125915,0.002292433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009778435,"threshold_uncertainty_score":0.003435373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00619124377316498,"score_gpt":0.2006632943135214,"score_spread":0.1944720505403564,"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."}}