{"id":"W2793450523","doi":"10.1016/j.bpj.2017.11.3137","title":"Homology Modelling of Sodium Iodide Symporter","year":2018,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Sodium-iodide symporter; Symporter; Nuclear transport; Homology modeling; Chemistry; Computational biology; NLS; Transporter; Biophysics; Biochemistry; Biology; Nuclear localization sequence; Cytoplasm; Gene","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":[0.0002353496,0.000731837,0.001242581,0.0004960227,0.001333229,0.001979757,0.001574737,0.002068517,0.01357777],"category_scores_gemma":[0.0006528684,0.000345124,0.0008742599,0.0006319131,0.0005271665,0.0007905331,0.0006351271,0.001000535,0.001767527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001405785,"about_ca_system_score_gemma":0.001780498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01191129,"about_ca_topic_score_gemma":0.007433884,"domain_scores_codex":[0.9998306,0.00003446173,0.000006822931,0.00003367633,0.00005392975,0.00004052676],"domain_scores_gemma":[0.999856,0.00006150095,0.00001531807,0.000009654087,0.00002588342,0.00003162894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009097872,0.0002541821,0.002007402,0.0006398943,0.0001641571,0.002237931,0.0005921526,0.8618225,0.03329308,0.07550307,0.005944249,0.01663166],"study_design_scores_gemma":[0.0001355414,0.00008130027,0.0005273583,0.00005444195,0.00004051844,0.0001808769,0.0002393514,0.9734992,0.003880854,0.01181444,0.009514528,0.00003154908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8115276,0.002307783,0.09934431,0.002669161,0.0003294233,0.0001544655,0.005010692,0.003417227,0.07523931],"genre_scores_gemma":[0.9661756,0.0009888052,0.02008891,0.0001874168,0.00003560691,0.0001172972,0.003543941,0.0003625112,0.008499981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01357777,"threshold_uncertainty_score":0.04542226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02785604532005626,"score_gpt":0.2649587763895291,"score_spread":0.2371027310694729,"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."}}