{"id":"W2991687158","doi":"10.3233/jid-2007-11305","title":"DESIGN AND IMPLEMENTATION OF A GENE NETWORK REVERSE ENGINEERING METHOD BASED ON MUTUAL INFORMATION","year":2007,"lang":"en","type":"article","venue":"Journal of Integrated Design and Process Science","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Reverse engineering; Computer science; Systems engineering; Engineering; Programming language","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":[0.001840063,0.0007135199,0.000685768,0.001053869,0.0004818779,0.0006595945,0.001741098,0.0007694158,0.00261869],"category_scores_gemma":[0.004916133,0.0006064325,0.0008870744,0.0004821741,0.0006114659,0.0009881411,0.0008304738,0.001206135,0.0009290259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007736351,"about_ca_system_score_gemma":0.001027381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002121879,"about_ca_topic_score_gemma":0.00236403,"domain_scores_codex":[0.9988706,0.0003003273,0.00005386672,0.0002563958,0.0004501955,0.00006861737],"domain_scores_gemma":[0.9980745,0.001019719,0.0001888196,0.0002140306,0.0004406758,0.00006215533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003425315,0.0003035428,0.002226729,0.0002469883,0.0002052485,0.0002690653,0.0002548035,0.3754309,0.1153388,0.03410548,0.001369004,0.4699071],"study_design_scores_gemma":[0.00003294662,0.0000744622,0.0002010088,0.000004786334,0.0000175725,0.00007455578,0.00001317579,0.9755053,0.019327,0.002730384,0.002000605,0.00001813543],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001776348,0.000008837153,0.9975657,0.00001555382,0.000005330926,0.00003692239,0.000008474722,0.0004182393,0.0001645829],"genre_scores_gemma":[0.04367235,0.00002624562,0.9551795,0.00002358614,0.000009374628,0.0002206646,0.00006369447,0.00012137,0.0006832543],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00261869,"threshold_uncertainty_score":0.009731352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009852663611013486,"score_gpt":0.284954313781639,"score_spread":0.2751016501706255,"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."}}