{"id":"W4410586772","doi":"10.1002/smll.202411997","title":"Cap‐Drop: A Pre‐Programmed, Self‐Powered Capillary Microfluidic System for Passive Droplet Generation and 3D Cell Culture Modeling","year":2025,"lang":"en","type":"article","venue":"Small","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Microfluidics; Software portability; Capillary action; Nanotechnology; Drop (telecommunication); Materials science; Computer science; 3D cell culture; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001838267,0.0002459735,0.0002349993,0.0001600706,0.0001441207,0.00007065526,0.0001243093,0.0002293699,0.000002026926],"category_scores_gemma":[0.000011618,0.0002420871,0.00004902629,0.0003595707,0.00002718359,0.0000879914,0.00004488624,0.0001786518,0.000002467272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002414707,"about_ca_system_score_gemma":0.00005381436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002851635,"about_ca_topic_score_gemma":0.000002081367,"domain_scores_codex":[0.9989147,0.0000181407,0.0003877711,0.0003033785,0.00008223639,0.0002938021],"domain_scores_gemma":[0.9993795,0.00001198959,0.00005428448,0.0002298822,0.0002914857,0.00003287121],"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":[0.00001726354,0.00003009686,0.00003452539,0.001157999,0.00009427749,0.00000420333,0.0009680663,0.0001659999,0.9668258,0.004648964,0.01960057,0.006452228],"study_design_scores_gemma":[0.0008534565,0.00007357272,0.000006326409,0.0001557715,0.00008768274,0.00001608119,0.0004840574,0.2354552,0.7232417,0.0001420391,0.039111,0.0003731355],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.133814,0.007887167,0.8548726,0.00004367165,0.0004329692,0.0009758795,0.00004447231,0.0007606816,0.001168611],"genre_scores_gemma":[0.9814045,0.0003594584,0.01673011,0.00012507,0.0001762026,0.0003233067,0.000409655,0.00004914638,0.0004225633],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8475905,"threshold_uncertainty_score":0.9872027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01008413618181193,"score_gpt":0.2148747338409261,"score_spread":0.2047905976591141,"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."}}