{"id":"W2335253323","doi":"10.2316/journal.210.2010.1.210-1013","title":"AN INTEGRATED BIOINFORMATICS APPROACH TO THE DISCOVERY OF CIS -REGULATORY ELEMENTS INVOLVED IN PLANT GRAVITROPIC SIGNAL TRANSDUCTION","year":2010,"lang":"en","type":"article","venue":"International Journal of Computational Bioscience","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Signal transduction; SIGNAL (programming language); Computational biology; Biology; Plant growth; Bioinformatics; Cell biology; Computer science; Botany","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001982206,0.001154259,0.001664236,0.002539094,0.0008873952,0.001533598,0.001384584,0.0007922088,0.001805926],"category_scores_gemma":[0.004363967,0.0004283895,0.00200115,0.002986153,0.0004561972,0.0007665276,0.001168998,0.001608267,0.0009781772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006809959,"about_ca_system_score_gemma":0.002460982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002980129,"about_ca_topic_score_gemma":0.004277914,"domain_scores_codex":[0.9985161,0.0004395754,0.0001315408,0.0005165995,0.0003013719,0.00009480963],"domain_scores_gemma":[0.9984787,0.0008547296,0.0001458503,0.0001445627,0.0002507371,0.0001254498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005215658,0.002089202,0.03043772,0.003988373,0.002221311,0.002731723,0.0009785162,0.1484051,0.3360497,0.02855714,0.01206297,0.4272626],"study_design_scores_gemma":[0.000654362,0.001089444,0.01587871,0.0001154889,0.001065097,0.0009545007,0.0004554011,0.864583,0.0437027,0.05118202,0.02019387,0.0001255263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08364148,0.001365488,0.8916293,0.001205564,0.0001162042,0.0003592191,0.009966127,0.009740973,0.00197565],"genre_scores_gemma":[0.2037499,0.0007130511,0.7725934,0.0004709969,0.00007946709,0.0005381776,0.02047778,0.0004139519,0.000963249],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002980129,"threshold_uncertainty_score":0.01048309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01028956888876572,"score_gpt":0.2471850008693223,"score_spread":0.2368954319805565,"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."}}