{"id":"W2907707792","doi":"10.1101/508705","title":"Cell Fate Simulation Reveals Cancer Cell Features in the Tumor Microenvironment","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Response Biomedical (Canada); Université Laval","funders":"National Institutes of Health","keywords":"Tumor microenvironment; Cell; Cell biology; Cell fate determination; Cancer; Cancer cell; Cancer research; Chemistry; Biology; Tumor cells; Biochemistry; Genetics; Gene; Transcription factor","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":[0.0001410239,0.0001875982,0.000227081,0.0001998566,0.0001826121,0.0004059322,0.0003155127,0.0004479128,0.0007962522],"category_scores_gemma":[0.0003956274,0.0001445966,0.000342312,0.0001737843,0.0002522543,0.0002139787,0.0002291042,0.0002367973,0.0001139153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005516194,"about_ca_system_score_gemma":0.0004581624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006198403,"about_ca_topic_score_gemma":0.003406003,"domain_scores_codex":[0.9999528,0.000007348762,0.000001919448,0.00001232594,0.00001494612,0.00001068932],"domain_scores_gemma":[0.999884,0.00005459591,0.00001468816,0.00001739374,0.00001748462,0.00001176289],"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":[0.00002865224,0.00002565102,0.005133285,0.00001457833,0.0000115679,0.00008334154,0.00006783281,0.9613132,0.02908321,0.00132412,0.00006912591,0.002845332],"study_design_scores_gemma":[0.000002239743,0.000007904755,0.0006042002,0.000001140269,0.000002498241,0.00001508595,0.00001306678,0.9938013,0.005180505,0.0002023757,0.0001670999,0.000002650811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9175106,0.00006770397,0.07981178,0.0000886156,0.00001460126,0.00001917383,0.0001934146,0.0001822969,0.002111829],"genre_scores_gemma":[0.985465,0.00005423311,0.013738,0.00001467034,0.000001824585,0.00002104011,0.00009520305,0.00001875487,0.0005912907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006198403,"threshold_uncertainty_score":0.01232463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008037817876074218,"score_gpt":0.2224865912195767,"score_spread":0.2144487733435025,"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."}}