{"id":"W4414320843","doi":"10.1063/5.0275644","title":"Synergy of robotics and microfluidics for intelligent micro- and nanomanipulation","year":2025,"lang":"en","type":"article","venue":"Biomicrofluidics","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China","keywords":"Microfluidics; Robotics; Drone; Intersection (aeronautics); Robot; Key (lock)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003146431,0.0001433257,0.0002151255,0.0002336554,0.0000591245,0.00003435139,0.0001344758,0.0001679612,0.000002922165],"category_scores_gemma":[0.0001262448,0.0001486386,0.00004048067,0.0002329092,0.0002106814,0.00003751714,0.0001277653,0.00009104859,0.000001124338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000575042,"about_ca_system_score_gemma":0.0000419709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001561563,"about_ca_topic_score_gemma":0.000001128994,"domain_scores_codex":[0.9990929,0.00001756637,0.0003450931,0.0001978916,0.00009767015,0.0002488667],"domain_scores_gemma":[0.999385,0.0002344294,0.00002938205,0.0001839223,0.00008872635,0.00007853958],"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":[0.00001749706,0.00001899379,0.001877286,0.0006348729,0.00006727549,5.705352e-7,0.00006033802,0.00002388297,0.9595366,0.005544124,0.00520735,0.02701122],"study_design_scores_gemma":[0.0004037132,0.00004348023,0.001382414,0.0001300201,0.00003308191,0.000003949879,0.00004510392,0.005802909,0.9337966,0.001001907,0.05720311,0.0001537092],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6619017,0.03667752,0.2989666,0.0005543521,0.0007006961,0.000609836,0.00005505175,0.0001518321,0.0003825059],"genre_scores_gemma":[0.9613156,0.01823361,0.01978819,0.00008984066,0.00006619732,0.00002449014,0.00004502551,0.00005258279,0.0003844451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.299414,"threshold_uncertainty_score":0.6061305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01696463074800516,"score_gpt":0.2700553494871025,"score_spread":0.2530907187390973,"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."}}