{"id":"W4247233095","doi":"10.1063/1.2353116.2","title":"10.1063/1.2353116.2","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; Instability; Viscoelasticity; 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":[0.00015202,0.0006972312,0.0005607964,0.0004806056,0.00007783461,0.0003262414,0.0005837422,0.0006408816,0.0009205255],"category_scores_gemma":[0.00005634278,0.0007197962,0.0001858711,0.0009429918,0.0001357016,0.000459319,0.0001473013,0.0007110698,0.004093441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003402232,"about_ca_system_score_gemma":0.00004223483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005899323,"about_ca_topic_score_gemma":0.000004566391,"domain_scores_codex":[0.9977313,0.00001097801,0.000760129,0.0004828019,0.0004349353,0.0005798868],"domain_scores_gemma":[0.9987617,0.00005076072,0.0001489285,0.0008161353,0.0001625136,0.00005995953],"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":[0.000009854442,0.00005906096,0.00000119411,0.0001997171,0.00007505426,0.00004900466,0.000003667912,0.000005824118,0.0002275807,0.00009433764,0.9908364,0.008438273],"study_design_scores_gemma":[0.0002274597,0.0001014179,0.00001411795,0.0001008468,0.00003412861,0.0000442076,0.000006251258,0.00003346659,0.001557256,0.000222434,0.9968575,0.00080095],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003490118,0.000432722,0.007185018,0.000005600751,0.0005041303,0.0003558748,0.9454253,0.00114188,0.04491457],"genre_scores_gemma":[0.002035009,0.00001663231,0.00006790597,0.00008195516,0.0005337168,0.00009105937,0.9927124,0.000122704,0.004338645],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04728707,"threshold_uncertainty_score":0.9999928,"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."}}