{"id":"W6957938658","doi":"10.6084/m9.figshare.12879260","title":"Additional file 1 of The living microarray: a high-throughput platform for measuring transcription dynamics in single cells","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Ontario Institute for Cancer Research; McGill University and Génome Québec Innovation Centre; McGill University","funders":"","keywords":"Dynamics (music); Transcription (linguistics); Table (database); Transcription factor; Living cell","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001746004,0.001690444,0.001764458,0.002620226,0.001304105,0.002034007,0.002795283,0.001458677,0.8668792],"category_scores_gemma":[0.01188349,0.001270812,0.00110917,0.004145529,0.0004129868,0.002152943,0.001247667,0.001677436,0.3092201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001216177,"about_ca_system_score_gemma":0.001934756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004696372,"about_ca_topic_score_gemma":0.007640753,"domain_scores_codex":[0.9992321,0.00009807605,0.00009003079,0.0002257168,0.0002425575,0.0001115685],"domain_scores_gemma":[0.99001,0.006922111,0.0005177764,0.0007885955,0.0013413,0.000420246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003276711,0.0001182104,0.0009911215,0.003013929,0.00005728258,0.00008859071,0.00005905298,0.0007918982,0.002000645,0.001205084,0.9798378,0.01150864],"study_design_scores_gemma":[0.002656963,0.0004145405,0.01343462,0.001301957,0.0002116721,0.0005763394,0.0002191402,0.002639652,0.007841107,0.01190313,0.9585607,0.0002401525],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000146194,0.00003583079,0.001303981,0.00008974401,0.00005061835,0.00008210193,0.9957053,0.001361242,0.001224896],"genre_scores_gemma":[0.004603553,0.0002240842,0.007494681,0.0005631339,0.0001125815,0.001431149,0.9735444,0.002705817,0.009320608],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8668792,"threshold_uncertainty_score":0.1898805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03754337247431297,"score_gpt":0.196541535151292,"score_spread":0.158998162676979,"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."}}