{"id":"W4231694622","doi":"10.1063/1.2353116.1","title":"10.1063/1.2353116.1","year":2006,"lang":"en","type":"dataset","venue":"Default Digital Object Group","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Breakup; Drop (telecommunication); Mechanics; Capillary action; Drag; Materials science; Drop impact; Volumetric flow rate; Microfluidics; Flow focusing; Viscoelasticity; Capillary number; Rheology; Instability; Pressure drop; Nanotechnology; Composite material; Physics; Mechanical engineering; Engineering","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001506331,0.0006988267,0.0005622451,0.0004798491,0.00007697057,0.0003224578,0.0005867123,0.0006461195,0.0009412438],"category_scores_gemma":[0.0000554404,0.0007210762,0.0001865745,0.0009563829,0.0001346724,0.0004658691,0.0001495914,0.0007074731,0.00412341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003388861,"about_ca_system_score_gemma":0.00004242043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005788887,"about_ca_topic_score_gemma":0.00000463153,"domain_scores_codex":[0.997727,0.00001085722,0.0007623757,0.0004829,0.0004357147,0.0005811951],"domain_scores_gemma":[0.9987624,0.00005042937,0.0001490469,0.0008155375,0.0001620469,0.00006050896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001000392,0.00005926497,0.000001239746,0.0002014785,0.00007514868,0.00004973303,0.000003560932,0.000005691215,0.0002421422,0.00009201001,0.9908708,0.008388901],"study_design_scores_gemma":[0.0002293689,0.0001013654,0.00001527315,0.00009959939,0.00003421863,0.00004421896,0.000006077607,0.00003326298,0.001609407,0.0002279256,0.9967966,0.0008026978],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003632312,0.0004296928,0.007259982,0.00000571106,0.0005015349,0.0003629059,0.9466172,0.001126246,0.04366042],"genre_scores_gemma":[0.002041273,0.00001680241,0.00007001742,0.00008357295,0.000529971,0.0000911723,0.9929217,0.0001227554,0.004122796],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04630445,"threshold_uncertainty_score":0.999972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006561130931211702,"score_gpt":0.2143774323635789,"score_spread":0.2078163014323672,"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."}}