{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005589921,0.00006846122,0.00006567274,0.00008736693,0.0001279104,0.0000268917,0.0001641886,0.0001044467,0.0001011569],"category_scores_gemma":[0.00001363046,0.00006828662,0.00006449329,0.0002645557,0.0000851317,0.000001320256,0.0001059192,0.00008357027,0.0001215502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002113545,"about_ca_system_score_gemma":0.000058357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004354407,"about_ca_topic_score_gemma":0.00003813778,"domain_scores_codex":[0.9988584,0.0001338424,0.0001169879,0.0002813869,0.0003018087,0.0003075685],"domain_scores_gemma":[0.9993045,0.00001109153,0.00002225917,0.0004216812,0.0001855457,0.00005488692],"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":[0.00001342229,0.00003331949,0.00260637,0.0000052128,0.000007295875,0.000001687027,0.000002678644,0.001558186,0.9607472,0.00006021301,0.03371416,0.001250273],"study_design_scores_gemma":[0.0001535277,0.00004969623,0.01049796,0.000001337158,0.000004804436,0.000001909724,0.000009031133,0.000442518,0.9002309,0.0005206613,0.08800542,0.00008221984],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725421,0.001535667,0.00071321,0.00007846527,0.00003177153,0.00009567994,0.000001428282,0.000008304887,0.02499337],"genre_scores_gemma":[0.9702961,0.00005932821,0.0005596722,0.00001187979,0.0005800958,0.00001178209,0.0001502732,0.00001701219,0.02831381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06051625,"threshold_uncertainty_score":0.2784648,"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."}}