{"id":"W1991060545","doi":"10.1121/1.4708348","title":"Surface acoustic waves (SAW) accelerated microfluidic mixing for improved microcalorimetry in biochips","year":2012,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Insect Pheromone Research and Control","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Biochip; Isothermal microcalorimetry; Materials science; Microfluidics; Mixing (physics); Substrate (aquarium); Surface acoustic wave; Lab-on-a-chip; Thermocouple; Microreactor; Piezoelectricity; Analytical Chemistry (journal); Optoelectronics; Composite material; Optics; Enthalpy; Thermodynamics; Chemistry; Nanotechnology; Chromatography","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":[0.001041579,0.0006471851,0.000553429,0.0004884255,0.0002433562,0.0006548963,0.0008211433,0.0004696576,0.0009009169],"category_scores_gemma":[0.001178709,0.0006140964,0.0003278258,0.0004787093,0.0005309638,0.0007425949,0.0004977434,0.0009356759,0.0004740664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004803872,"about_ca_system_score_gemma":0.0003060496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000300046,"about_ca_topic_score_gemma":0.0006949843,"domain_scores_codex":[0.9992297,0.0001472704,0.00006132027,0.0001831366,0.0003278501,0.00005073961],"domain_scores_gemma":[0.9992951,0.0004198623,0.0001168062,0.00006422723,0.00007622525,0.00002765811],"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":[0.00002647522,0.00001075941,0.00007824555,0.00003683967,0.00000267199,0.0000132324,0.00001675761,0.0002150716,0.9946969,0.0001946329,0.00004322511,0.004665207],"study_design_scores_gemma":[0.000008945788,0.00007894831,0.0003314971,0.00000269633,0.00000683196,0.00004639021,0.000004508098,0.005348991,0.9932131,0.00007201012,0.0008768839,0.000009108251],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4976575,0.003250364,0.4940043,0.0004909492,0.0002854193,0.0003058752,0.000294613,0.002082202,0.001628647],"genre_scores_gemma":[0.4533349,0.001306671,0.5429521,0.0001284705,0.0001192517,0.0002639054,0.0001467957,0.0001423557,0.001605498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001041579,"threshold_uncertainty_score":0.005508423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02444596266274094,"score_gpt":0.257674215826852,"score_spread":0.2332282531641111,"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."}}