{"id":"W2223764505","doi":"10.1161/atvbaha.115.305680","title":"<i>PHACTR1</i>","year":2015,"lang":"en","type":"letter","venue":"Arteriosclerosis Thrombosis and Vascular Biology","topic":"Chromatin Remodeling and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science","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":[0.001256455,0.001088456,0.00136051,0.0008171452,0.002696787,0.003104035,0.001329681,0.02364562,0.01167474],"category_scores_gemma":[0.006273757,0.000605776,0.001323184,0.0005620187,0.003078931,0.001404917,0.001395298,0.02051152,0.009099653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003862879,"about_ca_system_score_gemma":0.001742095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001976404,"about_ca_topic_score_gemma":0.003297383,"domain_scores_codex":[0.9990122,0.0001664362,0.00009144939,0.0001789191,0.0003413695,0.000209655],"domain_scores_gemma":[0.998435,0.0006316467,0.0001933529,0.0001136984,0.0002341537,0.000392164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008489542,0.0000298049,0.0005123483,0.00004998608,0.000022352,0.00482292,0.00003686066,0.00007443382,0.0006421858,0.002926274,0.9789295,0.01186853],"study_design_scores_gemma":[0.0002936656,0.000178571,0.002297019,0.000254695,0.0000844465,0.01000612,0.0001655665,0.0007897585,0.002377114,0.01500423,0.9684629,0.00008596617],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.001019993,0.003594498,0.0002767089,0.9455543,0.04025343,0.00003306248,0.0002282741,0.0001690712,0.008870639],"genre_scores_gemma":[0.01428124,0.003298884,0.0006254851,0.8564475,0.1079104,0.0001491153,0.0002301552,0.00007870107,0.01697861],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.02364562,"threshold_uncertainty_score":0.03905588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04161502162340689,"score_gpt":0.2860823863998425,"score_spread":0.2444673647764356,"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."}}