{"id":"W2952296879","doi":"10.1101/679233","title":"Cryo-EM structure of the complete and ligand-saturated insulin receptor ectodomain","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Leibniz-Rechenzentrum; Max-Planck-Institut für Bildungsforschung; Academy of Finland; Bayerische Akademie der Wissenschaften; China Scholarship Council; Leibniz-Gemeinschaft; Technische Universität Dresden; Deutsche Forschungsgemeinschaft","keywords":"Ectodomain; Insulin receptor; Insulin; IRS2; Insulin receptor substrate; Biophysics; GRB10; Receptor; Chemistry; Biology; Cell biology; Biochemistry; Endocrinology; Insulin resistance","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001676835,0.000486838,0.0005020043,0.00007118074,0.0001083223,0.00008351901,0.0006521908,0.0008917187,0.000009209364],"category_scores_gemma":[0.0001732828,0.0003898955,0.0001522756,0.0002169846,0.0001978427,0.000006027636,0.0009932959,0.0006200301,0.00000344455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004296756,"about_ca_system_score_gemma":0.0003944905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002315535,"about_ca_topic_score_gemma":0.00000949949,"domain_scores_codex":[0.9980348,0.0001510967,0.0004183932,0.0008035096,0.0002464556,0.0003457532],"domain_scores_gemma":[0.9976241,0.00001905408,0.000484743,0.001429364,0.0003252872,0.0001174517],"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":[0.00007720887,0.00001663407,0.003341771,0.000279044,0.0001244412,0.000001349274,0.000007171823,0.0001079591,0.9956763,0.00013235,0.0002329102,0.00000282435],"study_design_scores_gemma":[0.0006255097,0.00007962635,0.05559883,0.0001772528,0.00007451243,6.246919e-8,0.000003054741,0.0001184949,0.9387436,0.00001350469,0.004040941,0.0005246041],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938067,0.00253118,0.000385897,0.0000830347,0.001030609,0.0007748736,0.001348252,0.00003544655,0.000004002509],"genre_scores_gemma":[0.9961247,0.000324367,0.002783836,0.0002258395,0.0004264699,0.00001587775,0.000005269017,0.00008491542,0.000008673368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05693273,"threshold_uncertainty_score":0.9998553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006010541164965487,"score_gpt":0.1952536043515372,"score_spread":0.1892430631865717,"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."}}