{"id":"W2155920821","doi":"10.1016/j.bpj.2014.11.1570","title":"Can Activation and Desensitization Properties of iGluRs Be Predicted and Understood by Studying the LBD Dimer Dynamics?","year":2015,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Kainate receptor; AMPA receptor; Ionotropic effect; Chemistry; Biophysics; Dimer; NMDA receptor; Glutamate receptor; Receptor; Ion channel; Molecular dynamics; Biochemistry; Biology; Computational chemistry","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":[0.0007730405,0.0005816455,0.0008507541,0.0001926657,0.0003063447,0.0009532623,0.0008788456,0.001232687,0.001012123],"category_scores_gemma":[0.001469018,0.0004298521,0.0006114344,0.0001709962,0.001016766,0.003838198,0.0003344753,0.002146854,0.000480777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005301175,"about_ca_system_score_gemma":0.0003072793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000625547,"about_ca_topic_score_gemma":0.0005603509,"domain_scores_codex":[0.9998896,0.000011004,0.000009067111,0.00003139578,0.00001718408,0.00004172598],"domain_scores_gemma":[0.9996554,0.0001437903,0.00006353825,0.00007388575,0.00002829608,0.00003516362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009064974,0.000267932,0.01030342,0.0002537121,0.00008238728,0.0005863927,0.0002836105,0.009850255,0.9470284,0.01452764,0.0008284042,0.01508124],"study_design_scores_gemma":[0.0002525766,0.0004626049,0.04205091,0.0000672134,0.0001397015,0.001482813,0.000749509,0.4478916,0.4397223,0.06195182,0.005037754,0.0001913539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9645444,0.001370603,0.02910968,0.001639335,0.0000946704,0.00003334774,0.0002346657,0.0004119651,0.002561375],"genre_scores_gemma":[0.9921968,0.00135788,0.005043208,0.0004170843,0.0000301122,0.00002788394,0.0003485903,0.00005013976,0.0005283398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001232687,"threshold_uncertainty_score":0.004088283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1094292825053571,"score_gpt":0.3114521447146928,"score_spread":0.2020228622093356,"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."}}