{"id":"W3080136269","doi":"10.4103/1673-5374.290891","title":"Stem cell heterogeneity and regenerative competence: the enormous potential of rare cells","year":2020,"lang":"en","type":"article","venue":"Neural Regeneration Research","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto; University Health Network","funders":"","keywords":"Regenerative medicine; Stem cell; Neuroscience; Biology; Data science; Computer science; Medicine; Computational biology; Cell 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005918124,0.0001574009,0.0001695834,0.00005648969,0.0003603835,0.00009243569,0.0004280707,0.0001341226,0.00001945318],"category_scores_gemma":[0.00003802871,0.0001154373,0.00007989194,0.0002714039,0.0003661147,0.00001118604,0.0004635791,0.0003402264,0.00001509404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001594193,"about_ca_system_score_gemma":0.0001399666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002686326,"about_ca_topic_score_gemma":0.00003618842,"domain_scores_codex":[0.9971423,0.00088114,0.0002820322,0.0005252564,0.0007730795,0.0003961586],"domain_scores_gemma":[0.9987748,0.00005241278,0.00007828994,0.0003887268,0.0004967034,0.000209098],"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":[0.0001528228,0.00003086736,0.0001858418,0.00005102523,0.00001731803,0.00001070358,0.0001122968,0.001993855,0.9923307,0.00004554852,0.003539958,0.001529054],"study_design_scores_gemma":[0.0003984495,0.0006321298,0.0002547992,0.000003721012,0.00000562738,0.000009993836,0.0002068925,0.01189577,0.9840267,0.000005679982,0.002451937,0.0001083464],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935731,0.002175379,0.0005358915,0.00274442,0.00006944562,0.0005597325,0.00005083139,0.000008744685,0.0002824761],"genre_scores_gemma":[0.9976516,0.000631169,0.0001602928,0.0002137797,0.000316335,0.00003605545,0.00006828493,0.00002260012,0.0008999312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009901918,"threshold_uncertainty_score":0.4707395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04852862437789484,"score_gpt":0.312566241356435,"score_spread":0.2640376169785402,"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."}}