{"id":"W2778695364","doi":"","title":"Lab-on-a-Chip Coming of Age","year":2017,"lang":"en","type":"article","venue":"Research-Technology Management","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microscale chemistry; Lab-on-a-chip; Microfluidics; Chip; Microelectromechanical systems; Computer science; Sample (material); Nanotechnology; Phone; Scientific instrument; Engineering; Computer hardware; Telecommunications; Materials science; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007134504,0.0001394762,0.0002113894,0.0009385417,0.0003607848,0.00005020648,0.00137996,0.0002134284,0.00001289163],"category_scores_gemma":[0.000193665,0.0001378979,0.00004374095,0.0002840704,0.0007396282,0.00005277514,0.000689292,0.0006744068,0.0001048434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000914595,"about_ca_system_score_gemma":0.000006570958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001406285,"about_ca_topic_score_gemma":0.000007741311,"domain_scores_codex":[0.99865,0.00002337807,0.0001935327,0.0002555414,0.0002633011,0.0006142638],"domain_scores_gemma":[0.9983549,0.00005218507,0.00004443275,0.001472439,0.00004632006,0.00002972395],"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":[0.00002428862,0.000113258,0.001103327,0.0005200693,0.0003634093,0.000517622,0.00008109365,0.00006452036,0.166682,0.38408,0.03779862,0.4086518],"study_design_scores_gemma":[0.0007061764,0.0002804544,0.002102525,0.0003154561,0.00001804803,0.000007229241,0.0006910101,0.0001446495,0.8716711,0.04257871,0.08120675,0.0002778263],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8958419,0.001625429,0.0006322687,0.003457329,0.0001870641,0.0004816556,0.000004943158,0.001979501,0.09578992],"genre_scores_gemma":[0.995606,0.001777764,0.00117221,0.000009310739,0.00001705745,0.00006754293,0.000001536081,0.00003128622,0.001317293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7049891,"threshold_uncertainty_score":0.5623312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04570857669674564,"score_gpt":0.3314225426716215,"score_spread":0.2857139659748759,"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."}}