{"id":"W3034015444","doi":"10.3389/fbioe.2020.00534","title":"Automated Hypothesis Generation to Identify Signals Relevant in the Development of Mammalian Cell and Tissue Bioprocesses, With Validation in a Retinal Culture System","year":2020,"lang":"en","type":"article","venue":"Frontiers in Bioengineering and Biotechnology","topic":"Retinal Development and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Children's Hospital; University of Alberta; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Children's Hospital Research Institute; CNIB","keywords":"Biology; Signal transduction; Computational biology; Transcriptome; Receptor; Activin receptor; ACVR2B; Cell biology; Cell type; Immunochemistry; Cell culture; Cell fate determination; Cell; Bioinformatics; Gene expression; Genetics; Gene; TGF beta signaling pathway; Transcription factor","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":[0.003868623,0.001848799,0.001072963,0.001856857,0.0005469382,0.001883278,0.001540038,0.001138515,0.004528615],"category_scores_gemma":[0.009812244,0.0005921978,0.002144191,0.0007905256,0.001065273,0.001223706,0.001199543,0.0009697223,0.001024839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001082194,"about_ca_system_score_gemma":0.003115927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001923998,"about_ca_topic_score_gemma":0.002499369,"domain_scores_codex":[0.9980439,0.0005841818,0.0001467921,0.0005591427,0.0005453831,0.0001205766],"domain_scores_gemma":[0.9917973,0.006635562,0.0004520729,0.000377277,0.0006028645,0.0001348425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001786722,0.0007087567,0.02260945,0.003058334,0.0009271246,0.00221982,0.0005034453,0.4732737,0.151058,0.01778723,0.009910185,0.3161573],"study_design_scores_gemma":[0.0001278843,0.0002446806,0.001613816,0.00005551437,0.0001222426,0.0001621269,0.00008280386,0.9296618,0.050828,0.0136366,0.003435264,0.00002926415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06598675,0.0004824417,0.912104,0.0005706211,0.00006727227,0.0003224992,0.002709682,0.01643154,0.001325267],"genre_scores_gemma":[0.3739696,0.0003918396,0.6163253,0.0003561584,0.00005217904,0.0008588594,0.006691876,0.0004977704,0.0008564515],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004528615,"threshold_uncertainty_score":0.02045947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00878782625307072,"score_gpt":0.2156444993979272,"score_spread":0.2068566731448565,"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."}}