{"id":"W2408093871","doi":"","title":"Lab-on-a-chip technology: the future of point- of-care diagnostic ability","year":2014,"lang":"en","type":"article","venue":"","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microfluidics; Engineering; Lab-on-a-chip; Computer science; Systems engineering; Nanotechnology; Materials science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00636737,0.0009932909,0.001256542,0.001434587,0.000718814,0.004311281,0.002744802,0.006420381,0.01055317],"category_scores_gemma":[0.005731032,0.0005481753,0.0008380665,0.001337397,0.003398445,0.01183205,0.002263205,0.005177482,0.007113638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001536039,"about_ca_system_score_gemma":0.00161104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001121538,"about_ca_topic_score_gemma":0.0008043491,"domain_scores_codex":[0.9968247,0.0006272769,0.0001112467,0.0004047332,0.001707456,0.0003245613],"domain_scores_gemma":[0.9939674,0.002886506,0.000186651,0.0004145217,0.001875364,0.0006695354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003124846,0.0002057583,0.001137012,0.002049186,0.00008309181,0.000338784,0.000405164,0.002629363,0.02113344,0.2263482,0.1531564,0.5922012],"study_design_scores_gemma":[0.00003727783,0.0004892185,0.0005789559,0.000585418,0.00004666391,0.000766035,0.0002539931,0.00652844,0.009272604,0.07179283,0.9095075,0.0001409541],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.009026851,0.6233867,0.1914808,0.09854158,0.01348024,0.0001639194,0.000788466,0.002928149,0.06020324],"genre_scores_gemma":[0.1298413,0.5147515,0.2435148,0.04678334,0.01101781,0.0005832305,0.001453172,0.0005976576,0.05145713],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01055317,"threshold_uncertainty_score":0.03530389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002799489173443481,"score_gpt":0.1854035709693507,"score_spread":0.1826040817959072,"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."}}