{"id":"W2321813948","doi":"10.1038/protex.2015.007","title":"Ultra-low-input native ChIP-seq for rare cell populations","year":2015,"lang":"en","type":"article","venue":"Protocol Exchange","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Chip; Computational biology; Biology; Computer science; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013206,0.0001412831,0.0001055842,0.00003844991,0.00005761535,0.00001965175,0.0001278801,0.0001058898,0.0000225005],"category_scores_gemma":[0.00007147066,0.0001368036,0.00007150632,0.00006946261,0.00001976299,0.000003627818,0.00004119947,0.00005140355,0.000009886849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001739421,"about_ca_system_score_gemma":0.00004871085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009764753,"about_ca_topic_score_gemma":0.0000319776,"domain_scores_codex":[0.9992576,0.00002014771,0.0001445285,0.000251225,0.00009963764,0.0002268838],"domain_scores_gemma":[0.9994709,0.000006082053,0.00004819022,0.0002253764,0.000128526,0.0001208793],"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":[0.0007164404,0.0006000362,0.003250576,0.001513169,0.0000934916,0.00000653118,0.002617025,0.002203658,0.8895105,0.0004036122,0.08507212,0.01401286],"study_design_scores_gemma":[0.002113116,0.0004916631,0.0004423369,0.0000226113,0.00001147301,0.000003920977,0.0001230049,0.000401069,0.685986,0.0003219485,0.3097834,0.0002994683],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.04330143,0.0006583767,0.2675982,0.0006721644,0.0009473351,0.6567571,0.0004355774,0.0002229612,0.02940691],"genre_scores_gemma":[0.3181503,0.000003357572,0.006402924,0.0001949116,0.0009129317,0.6708029,0.0002691028,0.00006240221,0.003201202],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.2748489,"threshold_uncertainty_score":0.5578687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0404860428240576,"score_gpt":0.364777399994359,"score_spread":0.3242913571703014,"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."}}