{"id":"W4365135058","doi":"10.1093/database/baad021","title":"NbThermo: a new thermostability database for nanobodies","year":2023,"lang":"en","type":"article","venue":"Database","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Thermostability; Database; Computer science; Melting temperature; Chemistry; Materials science; 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":[0.001143465,0.00221271,0.002501157,0.005632596,0.0006894242,0.002386185,0.003045434,0.001909922,0.01338791],"category_scores_gemma":[0.003348531,0.0009251279,0.001433043,0.00506337,0.0003424149,0.002537517,0.002387124,0.001665467,0.01973696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009856838,"about_ca_system_score_gemma":0.001637808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001254222,"about_ca_topic_score_gemma":0.001542978,"domain_scores_codex":[0.999183,0.00007448268,0.0002113034,0.0002127534,0.0002465346,0.00007192164],"domain_scores_gemma":[0.998789,0.0002883525,0.0003200614,0.000274572,0.0001961204,0.0001319525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004411415,0.0004739144,0.01068499,0.02136287,0.0008000938,0.001149944,0.0007765946,0.00667956,0.2726443,0.01146927,0.4543134,0.2152337],"study_design_scores_gemma":[0.0003038802,0.0002283223,0.007524828,0.0007428761,0.0003127386,0.0009323839,0.000102157,0.004231927,0.0366157,0.005868768,0.9429784,0.0001578857],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0194656,0.01349948,0.05412858,0.0003676747,0.0002677742,0.000336646,0.8032154,0.09859713,0.01012178],"genre_scores_gemma":[0.01742396,0.003624172,0.03939733,0.0003168896,0.00004280646,0.0007433844,0.9318912,0.0045211,0.00203913],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01338791,"threshold_uncertainty_score":0.04478705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1107826829314793,"score_gpt":0.3938353857990054,"score_spread":0.2830527028675262,"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."}}