{"id":"W2943032484","doi":"","title":"On the fate of perturbations in critical random Boolean networks","year":2009,"lang":"en","type":"article","venue":"IRIS UNIMORE (University of Modena and Reggio Emilia)","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Boolean network; Boolean function; Algorithm","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":[0.001297202,0.0004175926,0.0005049873,0.001061292,0.0007186222,0.001521273,0.0006520377,0.001061186,0.002900371],"category_scores_gemma":[0.0118406,0.0002659543,0.0003103784,0.0004332603,0.001962623,0.001623791,0.001015364,0.001027735,0.0001495883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001267613,"about_ca_system_score_gemma":0.0004071347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001116554,"about_ca_topic_score_gemma":0.0009686513,"domain_scores_codex":[0.9996012,0.0001724914,0.00001073434,0.00004147985,0.0001045046,0.0000696143],"domain_scores_gemma":[0.9931646,0.005350756,0.0004539423,0.0001786358,0.0004026123,0.0004494252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007626298,0.00008201326,0.004599648,0.0001882631,0.00005091726,0.0007020886,0.0004147908,0.2016633,0.01592277,0.7481579,0.004074982,0.02338074],"study_design_scores_gemma":[0.00004285905,0.00006549563,0.001044312,0.0000286978,0.00001913668,0.0001537646,0.0001601084,0.5632686,0.004307663,0.4299048,0.0009777829,0.00002678846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8363865,0.001494841,0.1320286,0.003589029,0.0001282458,0.00007875713,0.0002376377,0.0002755944,0.02578073],"genre_scores_gemma":[0.9920792,0.0004617542,0.003845403,0.0001223674,0.00004379535,0.00003203739,0.00006299114,0.00003900763,0.003313436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002900371,"threshold_uncertainty_score":0.009702682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01131090434228937,"score_gpt":0.2227788446959221,"score_spread":0.2114679403536328,"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."}}