{"id":"W4298314485","doi":"10.48550/arxiv.1604.03508","title":"Shannon Capacity of Signal Transduction for Multiple Independent\\n Receptors","year":2016,"lang":"","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Receptor; Signal transduction; Cell biology; Chemistry; SIGNAL (programming language); Cyclic adenosine monophosphate; Biology; Biological system; Biochemistry; Computer science","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":[0.001052252,0.0004982411,0.0004701214,0.0008601779,0.0004282766,0.001171143,0.00072229,0.0006224345,0.003139102],"category_scores_gemma":[0.004303989,0.000250027,0.0004773831,0.0004704947,0.001856786,0.002298227,0.0009517084,0.0007403084,0.0004478889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001162094,"about_ca_system_score_gemma":0.0008150039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001060913,"about_ca_topic_score_gemma":0.0005049343,"domain_scores_codex":[0.9995109,0.0001356114,0.00001764234,0.00005224508,0.0001895194,0.00009407765],"domain_scores_gemma":[0.9977379,0.001635994,0.0001235505,0.0001830059,0.0002160666,0.0001034357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005399086,0.00002507755,0.0003991375,0.0001260162,0.00002463325,0.0001300302,0.0001289761,0.2471283,0.008209171,0.7348734,0.001933108,0.006968238],"study_design_scores_gemma":[0.000005474567,0.00001639868,0.0002140562,0.00001797088,0.000007189398,0.00006046681,0.00002160895,0.802371,0.002348458,0.1937002,0.001214526,0.00002262759],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2868533,0.002362318,0.6203974,0.001595155,0.0002426599,0.0000823971,0.0003495766,0.0003386322,0.08777856],"genre_scores_gemma":[0.9691236,0.001297576,0.01788882,0.0001835534,0.0001501643,0.0001039676,0.0001269857,0.00007424846,0.0110511],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003139102,"threshold_uncertainty_score":0.01050138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04786299073955963,"score_gpt":0.2032655122390943,"score_spread":0.1554025214995347,"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."}}