{"id":"W2165869851","doi":"10.1002/jcp.21062","title":"<i>Retracted:</i> Novel approaches for gene‐specific interference via manipulating actions of microRNAs: Examination on the pacemaker channel genes <i>HCN2</i> and <i>HCN4</i>","year":2007,"lang":"en","type":"article","venue":"Journal of Cellular Physiology","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":193,"is_retracted":true,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"","keywords":"Gene; microRNA; Channel (broadcasting); Computational biology; Biology; Interference (communication); RNA interference; Genetics; Computer science; Telecommunications; RNA","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":{"nature":"Retraction","reason":"Breach of Policy by Author;Duplication of Data;Duplication of/in Image;Falsification/Fabrication of Data;Investigation by Company/Institution;","date":"11/23/2011 0:00","openalex_flagged":true},"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00108554,0.0006678941,0.0002585523,0.0005266455,0.0008986292,0.0009765103,0.001213909,0.002017286,0.0106391],"category_scores_gemma":[0.001973654,0.0002388082,0.0004692576,0.000234944,0.001097024,0.0009175202,0.0007526281,0.00264732,0.004372719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001090498,"about_ca_system_score_gemma":0.0009416739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002158201,"about_ca_topic_score_gemma":0.002890188,"domain_scores_codex":[0.9993309,0.0001194568,0.0000590524,0.0001190405,0.0003016868,0.00006988899],"domain_scores_gemma":[0.9988856,0.0002695782,0.0001202301,0.0001173687,0.0004564479,0.0001508119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004825291,0.0001835308,0.002431223,0.001028358,0.00008246688,0.002561073,0.0007617233,0.0006543351,0.295361,0.02414746,0.5002128,0.1720935],"study_design_scores_gemma":[0.00005211217,0.000441886,0.001959132,0.0001173781,0.0000474005,0.001927723,0.0002050611,0.001753101,0.152298,0.003179973,0.8379476,0.00007061893],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.09866659,0.0912395,0.1410273,0.2397877,0.2205252,0.001540661,0.002211185,0.008826752,0.1961754],"genre_scores_gemma":[0.2597702,0.04123328,0.07814409,0.0939183,0.01892921,0.001032074,0.001434345,0.001800549,0.503738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9979827,"threshold_uncertainty_score":0.03559136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05324221655907384,"score_gpt":0.2474955270772135,"score_spread":0.1942533105181397,"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."}}