{"id":"W4389274134","doi":"10.1016/j.omto.2023.100754","title":"Gaining insights into virotherapy with canine models","year":2023,"lang":"en","type":"article","venue":"Molecular Therapy — Oncolytics","topic":"Virus-based gene therapy research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"Université de Sherbrooke","keywords":"Oncolytic virus; Vesicular stomatitis virus; Osteosarcoma; Medicine; Oncology; Internal medicine; Context (archaeology); Cancer; Virotherapy; Cancer research; Virus; Immunology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003627975,0.0004098072,0.0003183535,0.000228808,0.0002189711,0.00008034261,0.000565257,0.0002490353,0.00003732357],"category_scores_gemma":[0.00001802528,0.0003522407,0.0001492581,0.0007710738,0.0001863499,0.00001214742,0.0001150452,0.0002501787,0.00007728142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007603686,"about_ca_system_score_gemma":0.0003866093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004642427,"about_ca_topic_score_gemma":0.0002291518,"domain_scores_codex":[0.9975126,0.0001989014,0.0003053402,0.0007113199,0.0006129305,0.0006588727],"domain_scores_gemma":[0.9984478,0.00002571392,0.0001021398,0.0009883886,0.0002035873,0.0002324187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002756039,0.0001181646,0.0001051265,0.00001284332,0.0003143228,0.0001352965,0.0006747106,0.02218438,0.9555686,0.0002100193,0.0004934572,0.01742707],"study_design_scores_gemma":[0.003834662,0.008297502,0.00006977174,0.00003534363,0.00001523594,0.00001683962,0.0001942834,0.01040134,0.940768,0.001899414,0.03376471,0.0007028824],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839162,0.002799755,0.01029886,0.0004732572,0.00008093828,0.0006701947,0.000006770804,0.0001396255,0.001614438],"genre_scores_gemma":[0.9903595,0.004088078,0.001077755,0.002154273,0.0002299621,0.0001796153,0.0001933039,0.0002156173,0.001501909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03327125,"threshold_uncertainty_score":0.999893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02780661046385247,"score_gpt":0.3065705279593866,"score_spread":0.2787639174955341,"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."}}