{"id":"W4404488372","doi":"10.1016/j.sna.2024.116069","title":"Acoustotaxis‑based pump-less separation of highly motile human sperm by a SAW-in-capillary acoustofluidic platform","year":2024,"lang":"en","type":"article","venue":"Sensors and Actuators A Physical","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Tarbiat Modares University; Tarbiat Moallem University; University of Toronto","keywords":"Sperm; Separation (statistics); Capillary action; Task (project management); Materials science; Engineering; Computer science; Andrology; Composite material; Systems engineering; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001037186,0.0002008193,0.000211113,0.0001587453,0.000184625,0.0002376749,0.0003762116,0.0003310213,0.001144692],"category_scores_gemma":[0.000129832,0.0001525819,0.0001388301,0.0001168404,0.0001631393,0.000260733,0.0003897675,0.0003479702,0.0004854919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001759109,"about_ca_system_score_gemma":0.0004093524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000576136,"about_ca_topic_score_gemma":0.001231259,"domain_scores_codex":[0.9998893,0.000007149057,0.000006247709,0.00003040052,0.00005209521,0.00001488049],"domain_scores_gemma":[0.9999332,0.00001833711,0.00001440151,0.000004949326,0.00001858996,0.00001042092],"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":[0.00002624281,0.000005715443,0.00005019635,0.00001955932,0.000001507634,0.00002430784,0.00001157774,0.00004496119,0.9967185,0.0001298268,0.00009092193,0.002876678],"study_design_scores_gemma":[0.00001492831,0.000140744,0.001050399,0.000002299153,0.000007515051,0.0001545079,0.00002036139,0.004798104,0.9910533,0.00004915229,0.002697413,0.00001133345],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9311751,0.001752428,0.06059764,0.0006213444,0.0002511096,0.0001028029,0.0003545206,0.0005764946,0.004568649],"genre_scores_gemma":[0.9173419,0.0008495825,0.06992507,0.0002809629,0.0001029866,0.00009857195,0.0003296453,0.00004485454,0.01102631],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001144692,"threshold_uncertainty_score":0.0038293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009168714058221207,"score_gpt":0.2360995116865887,"score_spread":0.2269307976283675,"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."}}