{"id":"W2012805636","doi":"10.1126/science.1245475","title":"RNAi, Antiviral After All","year":2013,"lang":"en","type":"letter","venue":"Science","topic":"Plant Virus Research Studies","field":"Agricultural and Biological Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"RNA interference; Virology; Computational biology; Biology; Business; Genetics; Gene; 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":[0.002182094,0.000816302,0.001176986,0.0004043565,0.001698643,0.001996573,0.001163252,0.01124095,0.007471336],"category_scores_gemma":[0.004818916,0.0003305221,0.0005210583,0.0003724344,0.004210503,0.003080545,0.001054523,0.02324611,0.009450344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003258447,"about_ca_system_score_gemma":0.001372152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001422523,"about_ca_topic_score_gemma":0.003157585,"domain_scores_codex":[0.9986303,0.000343539,0.00009408767,0.0002955724,0.0005021679,0.0001343982],"domain_scores_gemma":[0.9972035,0.001370268,0.0002044749,0.0002066638,0.0006047603,0.0004104322],"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":[0.00008320944,0.00003200685,0.0002218844,0.0002074555,0.0000206844,0.0008456822,0.00007849972,0.00004328726,0.002354208,0.01215136,0.9150501,0.0689117],"study_design_scores_gemma":[0.00002826044,0.00004566742,0.0002541454,0.00008931625,0.000009896836,0.0009752381,0.00006659562,0.00004851296,0.0004116431,0.0115311,0.9865257,0.00001398948],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004350246,0.05544261,0.0006290957,0.9053612,0.02779923,0.00001421179,0.0001153504,0.00009677536,0.01010642],"genre_scores_gemma":[0.007871578,0.03496786,0.0008172113,0.8724639,0.04487653,0.00006444184,0.0001287162,0.00005253254,0.03875724],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01124095,"threshold_uncertainty_score":0.02499408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04232213281224422,"score_gpt":0.2657637889448788,"score_spread":0.2234416561326346,"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."}}