{"id":"W1562891387","doi":"10.1063/1.4928296","title":"Live-streaming: Time-lapse video evidence of novel streamer formation mechanism and varying viscosity","year":2015,"lang":"en","type":"article","venue":"Biomicrofluidics","topic":"Bacterial biofilms and quorum sensing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Viscosity; Microfluidics; Live streaming; Elongation; Biofilm; Porous medium; Mechanism (biology); Materials science; Nanotechnology; Chemical physics; Mechanics; Biological system; Porosity; Chemistry; Physics; Geology; Computer science; Composite material; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017852,0.0002791798,0.0001813987,0.000218524,0.0001705295,0.0002152002,0.0003258714,0.000437319,0.001232333],"category_scores_gemma":[0.0002583286,0.0001263427,0.0001098566,0.0001629353,0.0002429195,0.0002937372,0.0001502758,0.0005267193,0.0001703056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000220599,"about_ca_system_score_gemma":0.0001819399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008170499,"about_ca_topic_score_gemma":0.0007200035,"domain_scores_codex":[0.9999342,0.000005757533,0.00000443428,0.00002047116,0.00001897454,0.00001618227],"domain_scores_gemma":[0.9997984,0.00007273263,0.00004370995,0.00001481463,0.00003366683,0.00003676319],"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":[0.00003190796,0.00001037414,0.0001266623,0.00001842784,0.000001085201,0.000054969,0.00001585991,0.0000434371,0.998673,0.00009156683,0.0000405844,0.0008922086],"study_design_scores_gemma":[0.00001237733,0.0001193416,0.00709905,0.000008625518,0.00000598251,0.0003008152,0.00002961804,0.005221145,0.9860414,0.0001390074,0.001013958,0.000008788849],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728819,0.0009735125,0.02335109,0.0001712313,0.0000458626,0.00006105744,0.0006609592,0.000255459,0.001598949],"genre_scores_gemma":[0.9762856,0.0005592856,0.02099363,0.00007065059,0.00002592094,0.00006475903,0.0004290775,0.00003872802,0.001532305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001232333,"threshold_uncertainty_score":0.004122555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03347625331225237,"score_gpt":0.2578826436735301,"score_spread":0.2244063903612778,"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."}}