{"id":"W2954335521","doi":"10.1007/s10616-019-00327-0","title":"Improving a fish intestinal barrier model by combining two rainbow trout cell lines: epithelial RTgutGC and fibroblastic RTgutF","year":2019,"lang":"en","type":"article","venue":"Cytotechnology","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; McMaster University","funders":"Eidgenössische Technische Hochschule Zürich; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Rainbow trout; Cell culture; Cell biology; Membrane; Mesenchymal stem cell; Biology; Fish physiology; Fibroblast; Biophysics; Biochemistry; Fish <Actinopterygii>; Fishery","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":[0.000519888,0.0004836632,0.000272429,0.0003899173,0.00026636,0.0003561005,0.0003067875,0.0004595884,0.0008033683],"category_scores_gemma":[0.0001825583,0.0001841614,0.000489361,0.0002359976,0.0002640908,0.0003276327,0.0004689014,0.0008025679,0.0003621021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003542173,"about_ca_system_score_gemma":0.0004401315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002663461,"about_ca_topic_score_gemma":0.005805166,"domain_scores_codex":[0.9996175,0.00003942522,0.00004811655,0.00008331495,0.0001541702,0.00005739596],"domain_scores_gemma":[0.9998206,0.00002756661,0.00003622816,0.00003396239,0.00004516879,0.00003646428],"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":[0.00001756577,0.000009214561,0.0001932308,0.00001852306,0.000002341466,0.00003537197,0.00002091659,0.00005487349,0.9992269,0.00006644621,0.00001711387,0.0003375455],"study_design_scores_gemma":[0.00001381375,0.0003946696,0.003996365,0.000008440396,0.00003507944,0.0004100032,0.00008417249,0.00173716,0.9892364,0.00004435595,0.004026034,0.00001350484],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9629309,0.001004389,0.03259828,0.0001708605,0.00010308,0.0001601247,0.0006981949,0.0002066468,0.002127652],"genre_scores_gemma":[0.9523728,0.0009538829,0.03923496,0.00008931751,0.00001745568,0.0002423465,0.001361219,0.00005747232,0.00567053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002663461,"threshold_uncertainty_score":0.005295873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009883678456377767,"score_gpt":0.2201901853611665,"score_spread":0.2103065069047887,"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."}}