{"id":"W2569437901","doi":"10.1039/c6lc01535b","title":"Chromatin immunoprecipitation in microfluidic droplets: towards fast and cheap analyses","year":2017,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"European Research Council; Agence Nationale de la Recherche","keywords":"Chromatin immunoprecipitation; Chromatin; Histone; Immunoprecipitation; ChIP-sequencing; Microfluidics; ChIP-on-chip; Chip; Chemistry; Nanotechnology; DNA; Cell biology; Biophysics; Biology; Nucleosome; Materials science; Computer science; Gene; Biochemistry; Gene expression","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":[],"consensus_categories":[],"category_scores_codex":[0.0008858661,0.0005929958,0.0005965826,0.0004669277,0.0001869825,0.0006748124,0.0008667962,0.0005691205,0.0009716201],"category_scores_gemma":[0.0007265724,0.000374318,0.0002771069,0.000388702,0.0004152797,0.0007027552,0.0006999056,0.0006369395,0.0006489123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004963585,"about_ca_system_score_gemma":0.0003146113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003040881,"about_ca_topic_score_gemma":0.0004574956,"domain_scores_codex":[0.9993345,0.00009956244,0.00003751079,0.0001895483,0.0002821456,0.00005673546],"domain_scores_gemma":[0.9996862,0.0001422128,0.00004486343,0.0000401331,0.00005564409,0.00003091919],"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":[0.00003871137,0.00001680195,0.0002613265,0.0001041821,0.000009451354,0.00002875287,0.00001613397,0.0002174552,0.991967,0.0004095195,0.0001806181,0.006750059],"study_design_scores_gemma":[0.00002296178,0.000110567,0.001099739,0.0000118787,0.00002029408,0.0001426444,0.00001216928,0.007177244,0.9849486,0.0003897075,0.006044959,0.00001912964],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2555811,0.01057174,0.7243268,0.0006937807,0.0004743132,0.0006922587,0.002384031,0.002513895,0.002762199],"genre_scores_gemma":[0.3908382,0.007069792,0.5949639,0.000458166,0.0001999356,0.0006987219,0.002120669,0.000306457,0.00334417],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0009716201,"threshold_uncertainty_score":0.004684925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01856400319155134,"score_gpt":0.2972912295442158,"score_spread":0.2787272263526644,"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."}}