{"id":"W2000850767","doi":"10.1063/1.4905692","title":"Osteocyte culture in microfluidic devices","year":2015,"lang":"en","type":"article","venue":"Biomicrofluidics","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Key Research and Development Program of China; National High-tech Research and Development Program; Beijing Nova Program; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Osteocyte; Microfluidics; Propidium iodide; Calcein; Cell growth; Biophysics; Viability assay; Nanotechnology; Cell biology; Chemistry; Coating; Cell culture; Materials science; Matrigel; Biomedical engineering; Cell; Apoptosis; Osteoblast; In vitro; Biology; Programmed cell death; Biochemistry; Membrane","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":[],"consensus_categories":[],"category_scores_codex":[0.0006505176,0.0002062033,0.0002248397,0.0002540225,0.00003004051,0.00006819177,0.000463987,0.0002472459,0.00003447738],"category_scores_gemma":[0.0001789515,0.0001933894,0.00005247546,0.0006791155,0.0001250938,0.0001207298,0.0001440815,0.0003422165,0.0006177502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002906129,"about_ca_system_score_gemma":0.0001113551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005826016,"about_ca_topic_score_gemma":0.000008025179,"domain_scores_codex":[0.9984394,0.00005342634,0.000334839,0.000252392,0.0003618029,0.0005581283],"domain_scores_gemma":[0.9992132,0.00004133858,0.00002021216,0.000321154,0.00007718079,0.0003269046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002258933,0.00004537237,0.008988607,0.0001222047,0.00002942669,0.00006971793,0.0007700978,0.000007910074,0.6823165,0.0001783983,0.2973443,0.01010485],"study_design_scores_gemma":[0.0008612555,0.00004274831,0.001656097,0.00007021512,0.00000549022,0.00002035889,0.0001899755,0.0005608433,0.2978177,0.0001497062,0.6983342,0.0002914503],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9104307,0.07395494,0.00127398,0.0003077227,0.001147488,0.0003389042,0.00002317538,0.0006080132,0.01191509],"genre_scores_gemma":[0.9915641,0.005499759,0.001684434,0.0002218539,0.0002763211,0.00002656352,0.00003814818,0.00008281314,0.000606033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4009899,"threshold_uncertainty_score":0.7940136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03478941085849758,"score_gpt":0.2752398860438408,"score_spread":0.2404504751853432,"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."}}