{"id":"W1997542535","doi":"10.2174/187221511796392079","title":"MicroRNAs Patents: The Road From Bench to Bedsides for Cancer Treatment","year":2011,"lang":"en","type":"review","venue":"Recent Patents on DNA & Gene Sequences","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"microRNA; Translation (biology); Biology; Computational biology; Cancer; Gene silencing; Cancer research; Untranslated region; Bioinformatics; Gene; Medicine; RNA; Genetics; Messenger RNA","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":[0.001350374,0.0005431123,0.0005558062,0.0006609131,0.0003928435,0.002097472,0.0005339017,0.001672019,0.02133346],"category_scores_gemma":[0.001597372,0.0001571189,0.0004285325,0.0007382614,0.000827015,0.002707963,0.0009372025,0.003664635,0.007997799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0011699,"about_ca_system_score_gemma":0.001384643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000307957,"about_ca_topic_score_gemma":0.0005976343,"domain_scores_codex":[0.999363,0.0001628601,0.00003684636,0.00008021946,0.0002765109,0.00008064533],"domain_scores_gemma":[0.9994424,0.0001929469,0.00008695983,0.00002937153,0.0001281564,0.0001200477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003121358,0.0001597684,0.0003900406,0.001777743,0.00004834009,0.0005445746,0.0001223647,0.0003998212,0.0168159,0.07549337,0.1723099,0.731626],"study_design_scores_gemma":[0.00004333457,0.0002767324,0.0002710739,0.0002621707,0.00001866697,0.000671253,0.00003598859,0.0001647997,0.00321759,0.01016759,0.9848558,0.00001496107],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.008089634,0.7794694,0.01063698,0.07595534,0.01009455,0.0001967131,0.0008817133,0.0006702887,0.1140054],"genre_scores_gemma":[0.07771712,0.770233,0.01299631,0.02957381,0.01216749,0.0002559041,0.001107359,0.0002417744,0.09570725],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02133346,"threshold_uncertainty_score":0.0713675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09806028832081819,"score_gpt":0.344375565704942,"score_spread":0.2463152773841238,"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."}}