{"id":"W4376130188","doi":"10.1101/2023.05.11.540323","title":"Development and Biophysical Characterization of a Humanized FSH–Blocking Monoclonal Antibody Therapeutic Formulated at an Ultra–High Concentration","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Protein purification and stability","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Harrington Discovery Institute, University Hospitals; National Institutes of Health; York University","keywords":"Thermal stability; Differential scanning calorimetry; Chemistry; Dynamic light scattering; Fourier transform infrared spectroscopy; Chromatography; Materials science; Nanoparticle; Chemical engineering; Nanotechnology; Physics; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002369866,0.000173827,0.00009595801,0.0001193024,0.0001034011,0.000178455,0.0001767315,0.0002930519,0.0004617778],"category_scores_gemma":[0.0002241777,0.00008186708,0.0001610073,0.00007453255,0.0001504613,0.0001333539,0.0001078953,0.0004740281,0.0002084434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002138433,"about_ca_system_score_gemma":0.0001300358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005646594,"about_ca_topic_score_gemma":0.0004357624,"domain_scores_codex":[0.9998945,0.00001992328,0.000007982179,0.0000189472,0.0000446945,0.0000139738],"domain_scores_gemma":[0.9999204,0.00001353533,0.00002017304,0.000005895032,0.00002078188,0.00001926484],"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":[0.00002256185,0.00001542532,0.00006939982,0.000009618037,0.000001869206,0.000012735,0.000009266582,0.0000555474,0.9989517,0.00002952872,0.00002435387,0.0007980139],"study_design_scores_gemma":[0.000009327909,0.0003402067,0.001093243,0.000002543886,0.000008922552,0.0001368607,0.000008614483,0.001014108,0.9950047,0.00001792514,0.002359441,0.000004119308],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811995,0.001306612,0.01582326,0.0001710898,0.00004018509,0.00007574329,0.0001786501,0.00004986789,0.001155115],"genre_scores_gemma":[0.9830478,0.0006938257,0.0135825,0.0001375675,0.00001939738,0.00005087388,0.0003868164,0.00001948268,0.002061552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005646594,"threshold_uncertainty_score":0.001551569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.020244802720043,"score_gpt":0.2495300707199258,"score_spread":0.2292852679998828,"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."}}