{"id":"W2131525177","doi":"10.1186/1471-2164-13-274","title":"Defining new criteria for selection of cell-based intestinal models using publicly available databases","year":2012,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université de Lausanne; Université de Genève; RIKEN; Oncosuisse; Institute for Oil Sands Innovation, University of Alberta; University of Bern; Helsingin Yliopisto; Universidad Nacional de La Plata; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Cell culture; Biology; Phenotype; Intestinal epithelium; Database; Epithelial–mesenchymal transition; Epithelium; Computational biology; Bioinformatics; Cancer research; Gene; Genetics; Downregulation and upregulation; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01307971,0.001966749,0.003376762,0.01209129,0.001371269,0.007547663,0.004106435,0.001861929,0.003152623],"category_scores_gemma":[0.03968244,0.0006202547,0.003004727,0.009205581,0.0006942284,0.002402479,0.004924837,0.00188179,0.00230199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001429279,"about_ca_system_score_gemma":0.003382772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003652947,"about_ca_topic_score_gemma":0.005298114,"domain_scores_codex":[0.9870505,0.003305757,0.002633323,0.002173027,0.0040138,0.0008235271],"domain_scores_gemma":[0.9742027,0.0125614,0.002459213,0.004837738,0.004860498,0.001078482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.006689398,0.003344664,0.2466856,0.01593442,0.004705648,0.004856049,0.001715531,0.07872698,0.1105855,0.02336039,0.08672668,0.4166692],"study_design_scores_gemma":[0.0007867566,0.002133718,0.1328279,0.003543072,0.003242304,0.00346305,0.00325887,0.5618079,0.08977758,0.0346989,0.1638951,0.0005648587],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3173872,0.007967869,0.4233058,0.002267101,0.00038914,0.003079682,0.2125622,0.02070631,0.01233475],"genre_scores_gemma":[0.3109985,0.002056807,0.3300801,0.0004885956,0.0001212135,0.004786435,0.3492704,0.001149954,0.001047986],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01307971,"threshold_uncertainty_score":0.06917298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1686903902787067,"score_gpt":0.3361731869211504,"score_spread":0.1674827966424437,"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."}}