{"id":"W4225544007","doi":"10.18609/cgti.2022.024","title":"Developing stem cell therapies: expansion strategies and lessons learned","year":2022,"lang":"en","type":"article","venue":"Cell and Gene Therapy Insights","topic":"Mesenchymal stem cell research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stem cell; Medicine; Psychology; Biology; Cell biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002697667,0.0002059292,0.0002959257,0.0001439851,0.0005991237,0.00009519412,0.0001130335,0.00006781453,0.0002395922],"category_scores_gemma":[0.000001295356,0.0001557336,0.00004480207,0.0002236148,0.00009790043,0.0001109189,0.0001385823,0.0003210385,0.000008783789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005826619,"about_ca_system_score_gemma":0.0002982268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005814555,"about_ca_topic_score_gemma":0.000008552766,"domain_scores_codex":[0.9984248,0.0002127576,0.0002114419,0.0004252719,0.0004118596,0.0003138151],"domain_scores_gemma":[0.9993369,0.0001073152,0.00006442632,0.0002667979,0.00006073626,0.0001638504],"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":[0.0005867386,0.0001731551,0.0003265284,0.0001834149,0.00005766847,0.0001189631,0.01642209,0.00002197889,0.8890049,0.001087337,0.0001655701,0.09185158],"study_design_scores_gemma":[0.006467543,0.002552644,0.005108342,0.00005947878,0.00003464008,0.0001141344,0.04310576,0.0004148801,0.7163913,0.004551366,0.2205082,0.0006916978],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9532667,0.04023818,0.0001425539,0.001120791,0.00008688918,0.0004353477,0.000002554111,0.0000517394,0.004655279],"genre_scores_gemma":[0.9751542,0.01893509,0.0003017863,0.0003938217,0.00006911371,0.0000567682,0.0000147487,0.00003379891,0.005040669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2203427,"threshold_uncertainty_score":0.6350631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.112592952582567,"score_gpt":0.330714023287791,"score_spread":0.218121070705224,"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."}}