{"id":"W2039856946","doi":"10.1117/12.514731","title":"Biochips with integrated optics and fluidics","year":2003,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Biochip; Microsystem; Microchannel; Fluidics; Fabrication; Optofluidics; Microfluidics; Materials science; Lab-on-a-chip; Integrated optics; Nanotechnology; Microfabrication; Optical fiber; Photonics; Optoelectronics; Optics; Engineering; 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":[0.0007838674,0.001875946,0.0009968019,0.001231744,0.0007809909,0.002176802,0.002021022,0.002055408,0.00688986],"category_scores_gemma":[0.0009728336,0.001176289,0.0009151381,0.001080143,0.0007268289,0.001898358,0.001961431,0.002603304,0.009375906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001154922,"about_ca_system_score_gemma":0.0009957056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008197579,"about_ca_topic_score_gemma":0.0008321104,"domain_scores_codex":[0.9985684,0.00009457978,0.00008377426,0.0002321747,0.0008717666,0.0001492863],"domain_scores_gemma":[0.9996131,0.00009068153,0.00005308874,0.00006246279,0.0001308121,0.00004981373],"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":[0.000161303,0.0001268085,0.0004227523,0.001169038,0.00007740923,0.0004290869,0.0001326446,0.001186345,0.7510922,0.03775587,0.01143397,0.1960124],"study_design_scores_gemma":[0.00005903747,0.0002566387,0.0005271184,0.0001322984,0.00008916933,0.001640717,0.00003022055,0.004963762,0.635638,0.005358364,0.3512275,0.00007715941],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02370641,0.07360096,0.8095855,0.002940638,0.004156474,0.001159088,0.001623545,0.01091771,0.07230961],"genre_scores_gemma":[0.09101588,0.03021348,0.7863183,0.003621107,0.0008205039,0.001493118,0.002416858,0.0008799843,0.08322075],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00688986,"threshold_uncertainty_score":0.02304882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007082913587961038,"score_gpt":0.1940429079017329,"score_spread":0.1869599943137718,"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."}}