{"id":"W4250494250","doi":"10.1038/sj.cr.7310129","title":"Gene Regulation","year":2006,"lang":"en","type":"article","venue":"Cell Research","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Biology; Computational biology; Gene; Genetics","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":[0.000224735,0.0004895577,0.0003568214,0.0007335683,0.0005583519,0.00126465,0.0006015274,0.0004389652,0.01120961],"category_scores_gemma":[0.0003847629,0.0002179883,0.0005951949,0.0005950097,0.0005991183,0.0006341083,0.0007141304,0.000821371,0.005886103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000994721,"about_ca_system_score_gemma":0.0005649961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001438046,"about_ca_topic_score_gemma":0.001082582,"domain_scores_codex":[0.9995475,0.00003820948,0.00001247944,0.000206975,0.0001240842,0.00007074905],"domain_scores_gemma":[0.9998209,0.00002089569,0.00001695714,0.00005542918,0.00005215971,0.0000336542],"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":[0.0001523769,0.00007263379,0.002158749,0.0001974741,0.00004137215,0.0001898598,0.0002030033,0.000816149,0.8074546,0.08851664,0.008100637,0.09209654],"study_design_scores_gemma":[0.00003694566,0.0002063355,0.02140077,0.00007368257,0.00009044987,0.001089851,0.0002305196,0.006002712,0.5661208,0.0253487,0.3793595,0.00003977861],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.229429,0.02122315,0.2115164,0.003835183,0.002215059,0.0005100959,0.006840145,0.004369101,0.5200618],"genre_scores_gemma":[0.7871751,0.007222297,0.02454704,0.001488936,0.0003328136,0.000309573,0.005054076,0.0003701088,0.1735001],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01120961,"threshold_uncertainty_score":0.03749985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02352716592781067,"score_gpt":0.303233269060006,"score_spread":0.2797061031321953,"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."}}