{"id":"W4288066486","doi":"10.1007/s10561-022-10027-3","title":"Optimization of bovine embryonic fibroblast feeder layer prepared by Mitomycin C","year":2022,"lang":"en","type":"article","venue":"Cell and Tissue Banking","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Agriculture","funders":"National Key Research and Development Program of China; Graduate Research and Innovation Projects of Jiangsu Province; Jiangsu Agricultural Science and Technology Innovation Fund","keywords":"Mitomycin C; Fibroblast; Molecular biology; clone (Java method); Alkaline phosphatase; Viability assay; Andrology; In vitro; Cell counting; Biology; Staining; Cell; Chemistry; Biochemistry; Gene; Enzyme; Cell cycle; Medicine; 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":[0.000512161,0.0007387918,0.000555247,0.000578275,0.0004349882,0.0005407636,0.0004082271,0.0004876005,0.001424047],"category_scores_gemma":[0.0005917551,0.0001635283,0.0003370031,0.0005318155,0.000163708,0.0002617335,0.0002380957,0.0003827855,0.000557908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003751109,"about_ca_system_score_gemma":0.0004916471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003528801,"about_ca_topic_score_gemma":0.004898881,"domain_scores_codex":[0.9995141,0.00008939766,0.00008566157,0.0001132472,0.0001378405,0.00005978522],"domain_scores_gemma":[0.9997436,0.00007870579,0.00004200894,0.00002588412,0.00007927515,0.00003054546],"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":[0.0000615325,0.00002504442,0.0001917623,0.00006491465,0.000004409176,0.00005379319,0.0000215156,0.0001311301,0.9972826,0.00005202103,0.00006733345,0.002043906],"study_design_scores_gemma":[0.000007662967,0.00008817157,0.001716248,0.00001104706,0.00003435617,0.0001060838,0.00002754605,0.0003755882,0.9944732,0.00002128764,0.003129808,0.00000899893],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9236618,0.004795482,0.05982157,0.0004677799,0.000322391,0.0007098404,0.002259217,0.0008631214,0.007098773],"genre_scores_gemma":[0.8918274,0.005068512,0.08907655,0.0002573961,0.00007999627,0.0007593787,0.004900384,0.0003410624,0.007689373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003528801,"threshold_uncertainty_score":0.00701654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007719714871021266,"score_gpt":0.2360267733771596,"score_spread":0.2283070585061384,"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."}}