{"id":"W2615563660","doi":"10.1038/ncomms15220","title":"An evolutionary switch in ND2 enables Src kinase regulation of NMDA receptors","year":2017,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; Hospital for Sick Children; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Proto-oncogene tyrosine-protein kinase Src; NMDA receptor; Receptor; Kinase; Cell biology; Neuroscience; Biology; Computational biology; Computer science; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001465376,0.0001646555,0.0001593902,0.00008206436,0.000176959,0.0002971641,0.0002719359,0.0002857698,0.001289914],"category_scores_gemma":[0.0001591074,0.00009020828,0.0001985869,0.00008249102,0.0002688022,0.0003310769,0.0003687137,0.0005337035,0.0003628632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000325021,"about_ca_system_score_gemma":0.0001314571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001887537,"about_ca_topic_score_gemma":0.0002365304,"domain_scores_codex":[0.9999213,0.00001423271,0.000005944662,0.00001862746,0.00002136847,0.00001853143],"domain_scores_gemma":[0.9999591,0.000008620113,0.00001015159,0.000007696352,0.000003591877,0.00001080934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001114695,0.00001737972,0.0002681901,0.00002116274,0.000004119094,0.0002017842,0.00003160577,0.0003051232,0.9937088,0.003851038,0.00004321257,0.001436014],"study_design_scores_gemma":[0.00007800234,0.0002449688,0.005693355,0.00001258653,0.00002452204,0.001573697,0.0001335915,0.009419351,0.9607931,0.00180694,0.02020149,0.00001845008],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915859,0.0003859219,0.004890921,0.0001871798,0.00004288379,0.000009994355,0.00005841151,0.00003420827,0.002804631],"genre_scores_gemma":[0.9963707,0.000269781,0.002049333,0.00004227924,0.00000890604,0.000009214003,0.00008001802,0.00001981095,0.001149943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001289914,"threshold_uncertainty_score":0.004315138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07700383259910248,"score_gpt":0.4103420685478755,"score_spread":0.333338235948773,"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."}}