{"id":"W2900251972","doi":"10.1101/463448","title":"Single-cell transcriptome analysis of Physcomitrella leaf cells during reprogramming using microcapillary manipulation","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute for Basic Biology; Japan Society for the Promotion of Science; Ministry of Education, Culture, Sports, Science and Technology; Institute of Genetics; Nara Institute of Science and Technology","keywords":"Reprogramming; Transcriptome; Physcomitrella patens; Biology; Cell biology; Computational biology; Gene expression; Gene; Cell; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001727871,0.0002706455,0.0002898108,0.000299792,0.0002297182,0.0003517133,0.0002260273,0.0002469624,0.0004978321],"category_scores_gemma":[0.0001273743,0.0001311443,0.0002551572,0.0002568705,0.0002462117,0.0001671139,0.0002657152,0.0004664998,0.0002713651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003546168,"about_ca_system_score_gemma":0.0001720124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001201133,"about_ca_topic_score_gemma":0.002218632,"domain_scores_codex":[0.9998481,0.00001160135,0.00001233289,0.00005893497,0.00004814822,0.00002085569],"domain_scores_gemma":[0.9998498,0.00003676726,0.00003645123,0.00002827331,0.00002532417,0.00002343761],"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":[0.00000586174,0.000001957861,0.0001274181,0.000009642207,0.000001544545,0.00001327627,0.000009063796,0.00004277906,0.9992067,0.00001608829,0.000009330979,0.000556351],"study_design_scores_gemma":[0.000002385631,0.00002841274,0.01376794,0.000002847998,0.00001065192,0.00006583707,0.00002589604,0.001182444,0.9835036,0.00003481919,0.001366927,0.000008256168],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9565103,0.0007853828,0.03880692,0.000141602,0.00006576689,0.0001135669,0.001732396,0.0005074135,0.00133665],"genre_scores_gemma":[0.9717193,0.0007099903,0.02184511,0.000116459,0.00001862346,0.0001989378,0.002153188,0.0001027356,0.003135565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001201133,"threshold_uncertainty_score":0.002572954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0197777997298662,"score_gpt":0.2196775879256307,"score_spread":0.1998997881957645,"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."}}