{"id":"W4310493726","doi":"10.1073/pnas.2207824119","title":"Highly efficient reprogrammable mouse lines with integrated reporters to track the route to pluripotency","year":2022,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; Public Health Ontario; University of British Columbia; Université Laval; Toronto Centre for Phenogenomics; University of Toronto; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"Breakthrough T1D Canada","keywords":"Reprogramming; Induced pluripotent stem cell; Transgene; Biology; Somatic cell; Cell biology; Cell culture; Embryonic stem cell; Genetics; Cell; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006081171,0.0007408426,0.0004341769,0.0006713076,0.0001764352,0.0005314803,0.0006022474,0.0005494333,0.002184188],"category_scores_gemma":[0.0002065973,0.0004339096,0.0003761115,0.0003338493,0.0003768243,0.0004121246,0.0004705523,0.001463205,0.001546028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003181952,"about_ca_system_score_gemma":0.0003675429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002440883,"about_ca_topic_score_gemma":0.000644238,"domain_scores_codex":[0.9994975,0.0000621523,0.00007048281,0.0001261068,0.0001746817,0.00006894246],"domain_scores_gemma":[0.9997349,0.0000436661,0.00008518073,0.0000548488,0.00003634166,0.00004502605],"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":[0.00001308817,0.00001267972,0.000060122,0.0000158547,0.000003107626,0.0000317126,0.00001679938,0.00004772462,0.9975413,0.0004183298,0.00008733213,0.001752023],"study_design_scores_gemma":[0.00002362474,0.0001266739,0.0010409,0.00001495261,0.00001360968,0.0004058906,0.00001448093,0.0006540099,0.9835594,0.0001360735,0.01399986,0.00001055114],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5867149,0.005614195,0.3808259,0.0009208628,0.00055849,0.001172537,0.006433154,0.004261957,0.01349803],"genre_scores_gemma":[0.7035291,0.01080039,0.2323244,0.0007530345,0.0001385473,0.001596434,0.01202567,0.001281226,0.03755125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002184188,"threshold_uncertainty_score":0.007306814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02574755493131088,"score_gpt":0.2924957092423521,"score_spread":0.2667481543110412,"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."}}