{"id":"W2749458340","doi":"10.1016/j.bbapap.2017.08.006","title":"Back to the future: Rational maps for exploring acetylcholine receptor space and time","year":2017,"lang":"en","type":"review","venue":"Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics","topic":"Nicotinic Acetylcholine Receptors Study","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nicotinic acetylcholine receptor; Acetylcholine receptor; Cooperativity; Acetylcholine; Interdependence; Nicotinic agonist; Sequence space; Muscarinic acetylcholine receptor M5; Receptor; Amino acid; Biology; Computational biology; Amino acid residue; Peptide sequence; Muscarinic acetylcholine receptor M3; Biochemistry; Pharmacology; Sociology; Gene; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006937989,0.0009190658,0.001304998,0.00009838495,0.0006103053,0.0003613895,0.000888976,0.0005836703,0.00001872473],"category_scores_gemma":[0.0001899847,0.0006636958,0.0004741171,0.0001487729,0.000226995,0.00003251323,0.0009793726,0.0005286182,0.00008187769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004735295,"about_ca_system_score_gemma":0.0004097638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000964351,"about_ca_topic_score_gemma":0.000009154423,"domain_scores_codex":[0.9968739,0.0002547184,0.0006903186,0.001332329,0.0002525568,0.0005962161],"domain_scores_gemma":[0.9974528,0.00006732137,0.0007547222,0.001287212,0.0001612454,0.0002766914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009913321,0.0006058619,8.331742e-7,0.009514065,0.002079964,6.056017e-7,0.0005363345,0.000001722214,0.5475852,0.001011524,0.05252992,0.3851426],"study_design_scores_gemma":[0.0006198598,0.0005521766,0.00000140078,0.0009377094,0.000255632,0.00001838008,0.00002107669,0.000006485023,0.07496087,0.00002519069,0.9218076,0.0007935602],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02969906,0.9296988,0.0006815996,0.01014658,0.001099,0.02462585,0.003674022,0.00006636885,0.0003087786],"genre_scores_gemma":[0.0001686514,0.9685293,0.01803004,0.000231295,0.005067696,0.003968547,0.001638,0.0002125232,0.002153877],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8692778,"threshold_uncertainty_score":0.9995815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05904859021659837,"score_gpt":0.3233589399860803,"score_spread":0.264310349769482,"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."}}