{"id":"W2030370188","doi":"10.1038/mt.2010.60","title":"Oncolytic Viruses: Now Interviewing for the All-Star Game","year":2010,"lang":"en","type":"letter","venue":"Molecular Therapy","topic":"Virus-based gene therapy research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Oncolytic virus; Scopus; Mindset; Political science; Operations research; Psychology; Library science; Virus; Medicine; Virology; Computer science; MEDLINE; Law; Artificial intelligence; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003606302,0.001335516,0.001279405,0.001398096,0.005116146,0.007394063,0.001267412,0.004472854,0.04072871],"category_scores_gemma":[0.008051908,0.0005643183,0.001147028,0.001090973,0.003148914,0.01044399,0.005273168,0.01127933,0.02843851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002402011,"about_ca_system_score_gemma":0.00318578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005243687,"about_ca_topic_score_gemma":0.01593938,"domain_scores_codex":[0.9971189,0.001085727,0.0001525217,0.0002519797,0.000919325,0.0004715226],"domain_scores_gemma":[0.9960705,0.0007523985,0.0001941108,0.0001618828,0.0009108637,0.001910197],"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":[0.00004763864,0.00003216667,0.000231924,0.000187062,0.000007951428,0.00009915556,0.001797317,0.00001550847,0.0005005896,0.002570839,0.9580875,0.03642217],"study_design_scores_gemma":[0.000005416535,0.00003762456,0.0001820105,0.0001223578,0.000004881057,0.0001655565,0.002967215,0.00002239333,0.0001447956,0.001695084,0.9946372,0.00001545022],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.004939045,0.08113696,0.00748413,0.6724912,0.1351907,0.0002242015,0.001459668,0.001538084,0.09553595],"genre_scores_gemma":[0.03380172,0.07453771,0.01171726,0.37831,0.03340685,0.0004743683,0.002329865,0.002256991,0.4631653],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.04072871,"threshold_uncertainty_score":0.1362512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05305975109218408,"score_gpt":0.3468203427701626,"score_spread":0.2937605916779785,"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."}}