{"id":"W1982915164","doi":"10.1371/journal.pone.0085864","title":"Pooled Screening for Synergistic Interactions Subject to Blocking and Noise","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Ottawa Hospital; McGill University","funders":"Ottawa Hospital Research Institute","keywords":"Pooling; Set (abstract data type); Computer science; Noise (video); Replication (statistics); Bayesian probability; Blocking (statistics); Computational biology; Biology; Statistics; Artificial intelligence; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001255931,0.00009158641,0.0001405684,0.00005218288,0.00009397036,0.00002361321,0.00007388224,0.0000431744,0.000007871205],"category_scores_gemma":[0.0002002895,0.00009698119,0.00005363769,0.00007218292,0.00001686898,0.000001753032,0.00006666212,0.00003560388,0.000003951257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006305653,"about_ca_system_score_gemma":0.000008787257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009019375,"about_ca_topic_score_gemma":0.00007244595,"domain_scores_codex":[0.9993666,0.00003016758,0.0001171614,0.0002484174,0.00007502593,0.0001626134],"domain_scores_gemma":[0.9995382,0.0000322416,0.00004117618,0.0002212014,0.00007673996,0.0000904546],"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":[0.00004225348,0.0000816367,0.002654792,0.00002216511,0.0003535358,1.793711e-7,0.00001692627,0.0008155419,0.9941022,0.00003059894,0.0002186417,0.001661552],"study_design_scores_gemma":[0.0006389926,0.0003722071,0.004619659,0.0001353948,0.0009294937,0.000002925897,0.0000435334,0.03466623,0.9534597,0.0001085396,0.00463958,0.0003837109],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9526377,0.0001343477,0.04667891,0.0002066695,0.00001926777,0.0001455512,0.000004952346,0.00001256387,0.0001600336],"genre_scores_gemma":[0.9870278,0.000008346898,0.01175265,0.0001922711,0.0003552631,0.00004502892,0.00003979772,0.00002009957,0.0005587564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04064244,"threshold_uncertainty_score":0.3954778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02499952631398698,"score_gpt":0.2429412617125458,"score_spread":0.2179417353985589,"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."}}