{"id":"W2963739282","doi":"10.21103/ijbm.9.suppl_1.p6","title":"Abstract P-6: G-Protein Coupled Receptors Engineering for Structural Analysis","year":2019,"lang":"en","type":"article","venue":"International Journal of Biomedicine","topic":"Peptidase Inhibition and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research & Development Corporation","funders":"","keywords":"Receptor; G protein-coupled receptor; Protein engineering; Chemistry; Cell biology; Computational biology; Biology; Biochemistry","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":[0.0002172818,0.0004292046,0.0001822534,0.000145966,0.0001988611,0.000337313,0.0003952921,0.0004196477,0.00396144],"category_scores_gemma":[0.0001762699,0.0001160187,0.0003456629,0.0001339163,0.0002029016,0.0002859402,0.0003152998,0.001028684,0.002081142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001804016,"about_ca_system_score_gemma":0.0002505926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002584148,"about_ca_topic_score_gemma":0.0002115533,"domain_scores_codex":[0.9998766,0.00001849173,0.000006997755,0.00002393824,0.00005342442,0.00002045923],"domain_scores_gemma":[0.9999425,0.000007440673,0.00001081283,0.000008122379,0.00001559819,0.00001538042],"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":[0.0002022992,0.0000747122,0.0001502859,0.0001151754,0.00001057476,0.0002023285,0.00002231868,0.002452761,0.9815961,0.002508997,0.0009825357,0.01168199],"study_design_scores_gemma":[0.00006412011,0.0006006511,0.0005158526,0.00001897492,0.00002835667,0.0006787137,0.00002208653,0.01273345,0.9577956,0.001401548,0.02612148,0.00001915729],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7159359,0.003077107,0.2480697,0.002377916,0.0005975684,0.0002860847,0.002146614,0.002536411,0.02497263],"genre_scores_gemma":[0.8407339,0.00320984,0.1342629,0.0003850127,0.00007162696,0.0001192109,0.001936249,0.0004190876,0.01886213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00396144,"threshold_uncertainty_score":0.01325238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007862693269158474,"score_gpt":0.2857559925576659,"score_spread":0.2778932992885075,"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."}}