{"id":"W4410057024","doi":"10.18103/mra.v13i4.6346","title":"GHR106, the First in Class Antibody-based GnRH Antagonist for Broad Clinical Applications","year":2025,"lang":"en","type":"article","venue":"Medical Research Archives","topic":"Sexual Differentiation and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Class (philosophy); Antibody; Antagonist; Medicine; Computer science; Pharmacology; Mathematics; Internal medicine; Artificial intelligence; Immunology; Receptor","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002806685,0.0005007741,0.0003971459,0.0003223716,0.0001240997,0.000337024,0.0004326187,0.0005570467,0.002720781],"category_scores_gemma":[0.0002252281,0.0001486518,0.0003078637,0.000221003,0.0001854201,0.0002011037,0.0002762092,0.0009187764,0.001624645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004202824,"about_ca_system_score_gemma":0.0003171872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006128618,"about_ca_topic_score_gemma":0.0007148634,"domain_scores_codex":[0.9998546,0.00002346116,0.000009805626,0.00002931543,0.00005625044,0.00002658203],"domain_scores_gemma":[0.9999094,0.00001562661,0.00001535336,0.00000586579,0.00002999914,0.00002372828],"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":[0.000760852,0.000369907,0.001228927,0.001817276,0.0001331984,0.0008243291,0.0001093264,0.0006477867,0.5813395,0.002740747,0.01958598,0.3904422],"study_design_scores_gemma":[0.0004869844,0.004947529,0.004863963,0.000137503,0.000206794,0.005377805,0.00003773029,0.001206071,0.3472493,0.0005079382,0.6349189,0.00005946869],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3224438,0.5302999,0.04074105,0.006060871,0.004301604,0.001001844,0.002079061,0.001820442,0.09125154],"genre_scores_gemma":[0.6504788,0.2307992,0.0396461,0.008264485,0.001290036,0.0004847962,0.004735616,0.0002798719,0.06402096],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002720781,"threshold_uncertainty_score":0.009101868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04634167391080934,"score_gpt":0.4702715513249667,"score_spread":0.4239298774141573,"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."}}