{"id":"W2045856074","doi":"10.1038/nbt.2973","title":"Harmonizing standards for producing clinical-grade therapies from pluripotent stem cells","year":2014,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":65,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; International Society for Cellular Therapy","funders":"","keywords":"Induced pluripotent stem cell; Stem cell; Computational biology; Biology; Embryonic stem cell; Cell biology; Genetics; Gene","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1834665,0.001059491,0.00181584,0.006626714,0.003261167,0.01027777,0.007961468,0.007148956,0.002231551],"category_scores_gemma":[0.1511593,0.0009867497,0.001744209,0.003509857,0.005751463,0.003404762,0.006608418,0.008979711,0.002459571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007561745,"about_ca_system_score_gemma":0.02217903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003424184,"about_ca_topic_score_gemma":0.003831777,"domain_scores_codex":[0.8482587,0.05360926,0.02723576,0.006117771,0.06066968,0.00410879],"domain_scores_gemma":[0.8318952,0.04620126,0.01031711,0.03297725,0.07597192,0.002637249],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007165078,0.000976947,0.008584459,0.003416423,0.0002906208,0.0005143563,0.004528043,0.01192058,0.1551897,0.3353729,0.05561443,0.4228751],"study_design_scores_gemma":[0.0002961565,0.00194287,0.01462272,0.005048534,0.0004577174,0.0013229,0.003012991,0.008573305,0.3426518,0.1331968,0.4885137,0.0003605051],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05566236,0.01363519,0.7884883,0.03269158,0.004063979,0.008121118,0.001988288,0.002995208,0.09235405],"genre_scores_gemma":[0.2125028,0.008976282,0.7386721,0.01192004,0.0007588168,0.007036586,0.006407126,0.001205113,0.01252125],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8165335,"threshold_uncertainty_score":0.9702751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02780385446257864,"score_gpt":0.3147591834996329,"score_spread":0.2869553290370543,"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."}}