{"id":"W1984593456","doi":"10.1016/j.bpj.2011.11.1059","title":"High Content Study of Vesicular Trafficking in Polarized Cells","year":2012,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Hôpital Maisonneuve-Rosemont","funders":"","keywords":"Epithelial polarity; Vesicle; Protein subcellular localization prediction; Cell biology; Population; Vesicular transport protein; Aquaporin; Cell polarity; Transport protein; Protein targeting; Biology; Green fluorescent protein; In vivo; Apical membrane; Fluorescence microscope; Membrane protein; Chemistry; Membrane; Cell; Biochemistry; Gene; Fluorescence; Physics; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001216964,0.0001280242,0.0001769661,0.0002596375,0.0003377837,0.0005860137,0.0002964024,0.000327056,0.001252471],"category_scores_gemma":[0.0001489971,0.000114306,0.0001038198,0.0002349588,0.0003234759,0.0005749494,0.0002960178,0.0005245763,0.0002814619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003807505,"about_ca_system_score_gemma":0.0001822785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005954519,"about_ca_topic_score_gemma":0.000375144,"domain_scores_codex":[0.9999259,0.00001248721,0.000002521436,0.0000147603,0.00002097704,0.00002340133],"domain_scores_gemma":[0.9998971,0.0000458773,0.00001058461,0.00001054601,0.0000192484,0.00001669902],"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":[0.0001555106,0.00003086375,0.0002404425,0.00003309246,0.000004236659,0.00007112035,0.00004099981,0.0001162018,0.9967903,0.001007172,0.00007275229,0.001437084],"study_design_scores_gemma":[0.00001905932,0.0000815633,0.003193786,0.000006657558,0.000009532292,0.0001571839,0.00008341172,0.004038522,0.9904426,0.0002715535,0.001690504,0.000005701412],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991659,0.000788326,0.004607903,0.0001437267,0.00002697772,0.00001253959,0.0001128352,0.00002086369,0.002627773],"genre_scores_gemma":[0.9946162,0.0004038785,0.002083286,0.0000570214,0.0000182324,0.00001488821,0.0001414077,0.00003254377,0.002632505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001252471,"threshold_uncertainty_score":0.004189909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02428594589433828,"score_gpt":0.2154431808142025,"score_spread":0.1911572349198642,"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."}}