{"id":"W4296126108","doi":"10.1016/j.virusres.2022.198925","title":"More tools for our toolkit: The application of HEL-299 cells and dsRNA-nanoparticles to study human coronaviruses in vitro","year":2022,"lang":"en","type":"article","venue":"Virus Research","topic":"Animal Virus Infections Studies","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Agency of Canada; Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Public Health Agency of Canada","keywords":"Biology; In vitro; Coronavirus; Virology; Inducer; Cell biology; Gene; Coronavirus disease 2019 (COVID-19); Medicine; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00262746,0.0009942586,0.001489554,0.001307141,0.0007162686,0.002214354,0.001805992,0.001970689,0.01799431],"category_scores_gemma":[0.002609696,0.0008483595,0.00158278,0.0005798286,0.0007904691,0.003232621,0.002728933,0.003985394,0.007401822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004894991,"about_ca_system_score_gemma":0.0006330398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001266677,"about_ca_topic_score_gemma":0.002047321,"domain_scores_codex":[0.9981833,0.0005938378,0.0001462876,0.0002266108,0.0006922252,0.0001577977],"domain_scores_gemma":[0.9979668,0.0008465022,0.00008274965,0.0005945879,0.0003013762,0.0002078843],"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":[0.0002723964,0.0003121727,0.001102613,0.0009862868,0.0001997421,0.0005587972,0.000580052,0.0008562029,0.8800603,0.006954161,0.0251096,0.08300778],"study_design_scores_gemma":[0.0001773389,0.0004058612,0.002675198,0.000241734,0.0001738795,0.002398617,0.0003345088,0.004539124,0.6621068,0.01389672,0.3127374,0.0003127766],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04476248,0.01385735,0.8722566,0.01339628,0.003162567,0.0005805542,0.00567149,0.03071969,0.01559303],"genre_scores_gemma":[0.1306422,0.0111294,0.808318,0.006087758,0.000715994,0.001275381,0.006942277,0.006091579,0.02879746],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01799431,"threshold_uncertainty_score":0.060197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2060230197655328,"score_gpt":0.4176133049684125,"score_spread":0.2115902852028797,"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."}}