{"id":"W2009124634","doi":"10.5966/sctm.2013-0050","title":"Concise Review: Guidance in Developing Commercializable Autologous/Patient-Specific Cell Therapy Manufacturing","year":2013,"lang":"en","type":"review","venue":"Stem Cells Translational Medicine","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Stemcell Technologies","funders":"National Institutes of Health; California Institute for Regenerative Medicine","keywords":"Commercialization; Process (computing); Scale (ratio); Bench to bedside; Product (mathematics); Regenerative medicine; Computer science; Engineering management; Engineering ethics; Medicine; Risk analysis (engineering); Engineering; Business; Medical physics; Stem cell; Marketing; Biology","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":[0.004006967,0.001228592,0.001798047,0.003422841,0.0004421597,0.001848026,0.00170156,0.003134974,0.005583091],"category_scores_gemma":[0.005879296,0.0005921695,0.0009150085,0.003052449,0.0009083273,0.002480875,0.001119897,0.002851299,0.005649715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001285194,"about_ca_system_score_gemma":0.005475937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00156798,"about_ca_topic_score_gemma":0.003032687,"domain_scores_codex":[0.9977977,0.0006210566,0.0004213564,0.000142844,0.0009282955,0.00008888282],"domain_scores_gemma":[0.9966636,0.001697729,0.0004563686,0.00008917927,0.0009836941,0.0001094358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004467754,0.00007366847,0.00008874029,0.05074603,0.00007568948,0.0005214094,0.0001726144,0.0003568288,0.002276534,0.01452804,0.2161404,0.7149754],"study_design_scores_gemma":[0.00001117434,0.00002843394,0.0001149809,0.006992428,0.00003930052,0.0004493697,0.00003105492,0.00003280855,0.0003427828,0.001480983,0.9904652,0.00001150795],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009457495,0.9876658,0.001454428,0.00341717,0.001649716,0.00010422,0.0001238487,0.00003661892,0.005453684],"genre_scores_gemma":[0.0004752823,0.9927966,0.002797093,0.001498179,0.000474312,0.0001076449,0.0001318693,0.000007500795,0.001711498],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005583091,"threshold_uncertainty_score":0.02119112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09918375327460947,"score_gpt":0.3470587022969429,"score_spread":0.2478749490223334,"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."}}