{"id":"W4240569711","doi":"10.1063/1.2353116.3","title":"10.1063/1.2353116.3","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; Drop impact; Materials science; Volumetric flow rate; Flow focusing; Microfluidics; Capillary number; Rheology; Viscoelasticity; Instability; 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":[],"category_scores_codex":[0.0001495524,0.000698426,0.000561811,0.0004800156,0.00007702431,0.0003221992,0.0005802045,0.0006460325,0.0008881208],"category_scores_gemma":[0.00005533174,0.0007207453,0.0001865498,0.0009566077,0.0001334127,0.0004655028,0.0001493211,0.0007072999,0.004179305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003379168,"about_ca_system_score_gemma":0.00004222989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005758856,"about_ca_topic_score_gemma":0.000004569141,"domain_scores_codex":[0.997728,0.00001086059,0.0007620513,0.0004826025,0.0004356479,0.0005808048],"domain_scores_gemma":[0.9987638,0.00005031139,0.000148937,0.000814435,0.0001621203,0.0000604039],"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":[0.000009990229,0.00005954063,0.000001280332,0.0002032862,0.00007512647,0.00005036088,0.000003546117,0.000005637022,0.0002350713,0.0000925792,0.9910086,0.00825496],"study_design_scores_gemma":[0.0002291549,0.0001009761,0.00001519217,0.0001000011,0.00003415304,0.00004526233,0.000006022196,0.00003282053,0.001625886,0.0002248713,0.9967842,0.0008015042],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003710743,0.0004332449,0.007083346,0.000005734772,0.0005020014,0.0003648237,0.948641,0.00119877,0.04173399],"genre_scores_gemma":[0.002067204,0.00001710243,0.00006907682,0.00008455396,0.0005250596,0.00009290791,0.9930667,0.0001280075,0.003949388],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04442572,"threshold_uncertainty_score":0.9995244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006565539605828207,"score_gpt":0.2144242964640628,"score_spread":0.2078587568582346,"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."}}