{"id":"W3003623154","doi":"10.69645/knqc9980","title":"What can we learn from conformational profiling of GPCRs?","year":2020,"lang":"en","type":"article","venue":"˜The œbiomedical & life sciences collection.","topic":"Receptor Mechanisms and Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Profiling (computer programming); G protein-coupled receptor; Computational biology; Chemistry; Computer science; Biology; Receptor; Biochemistry; Programming language","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":[0.01338013,0.0009237899,0.002349833,0.001831387,0.0009871343,0.00588615,0.002288423,0.003327886,0.00486418],"category_scores_gemma":[0.02359967,0.0006860021,0.001703836,0.001898951,0.004093846,0.01500383,0.002292955,0.008010137,0.003035596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001281417,"about_ca_system_score_gemma":0.002600092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00405101,"about_ca_topic_score_gemma":0.006055644,"domain_scores_codex":[0.9981111,0.0005361722,0.0001591635,0.000302536,0.000558118,0.0003327693],"domain_scores_gemma":[0.9856647,0.006957361,0.0008751132,0.002175237,0.002854604,0.001472948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000963128,0.0006242623,0.05627346,0.009208607,0.001198029,0.0009065794,0.001556943,0.00259457,0.02728029,0.03427588,0.1750523,0.690066],"study_design_scores_gemma":[0.0002209218,0.001418311,0.1033965,0.005852913,0.001143787,0.003098006,0.007919921,0.003393797,0.01726745,0.3747799,0.4808878,0.0006207314],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.05681909,0.5737523,0.01896893,0.3244825,0.007663707,0.00008448777,0.004999527,0.0006274855,0.01260188],"genre_scores_gemma":[0.1812038,0.6750053,0.01824794,0.1017337,0.01430065,0.0001860567,0.004141612,0.0001971705,0.00498385],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01338013,"threshold_uncertainty_score":0.0707618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02287072544558457,"score_gpt":0.2582954980852935,"score_spread":0.2354247726397089,"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."}}