{"id":"W930525851","doi":"","title":"Cost-effectiveness of single-use technologies for commercial cell therapy manufacture","year":2013,"lang":"en","type":"article","venue":"UCL Discovery (University College London)","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Business; Risk analysis (engineering); Operations management; Manufacturing engineering; 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":[0.00686658,0.0007400132,0.0004631277,0.001730289,0.0009028207,0.002541232,0.001441499,0.001342603,0.02017251],"category_scores_gemma":[0.007441002,0.0003613676,0.0008542373,0.0007216663,0.001527572,0.00186918,0.001780107,0.002057904,0.007502399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003007688,"about_ca_system_score_gemma":0.002117557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005085425,"about_ca_topic_score_gemma":0.0008367793,"domain_scores_codex":[0.9925754,0.001726206,0.000286887,0.0005070916,0.004641657,0.0002627449],"domain_scores_gemma":[0.9934109,0.002980833,0.001075344,0.0009854661,0.001224652,0.0003229495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004839214,0.0008409237,0.00279961,0.002016717,0.00006583047,0.0009081534,0.0006230933,0.003587424,0.2817163,0.09782842,0.01646618,0.5926634],"study_design_scores_gemma":[0.0001559038,0.003764926,0.0085751,0.001142819,0.0001720486,0.005859657,0.001122951,0.007782739,0.4346417,0.0259719,0.5106894,0.0001208555],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1506746,0.04221124,0.5218292,0.01364394,0.00246245,0.005645397,0.001156227,0.002027427,0.2603495],"genre_scores_gemma":[0.564366,0.02133198,0.348893,0.001717658,0.00116186,0.004300175,0.001439321,0.0004374204,0.05635251],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02017251,"threshold_uncertainty_score":0.06748378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04069177749638276,"score_gpt":0.2547932630548048,"score_spread":0.2141014855584221,"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."}}