{"id":"W4407426045","doi":"10.1021/acsmedchemlett.5c00027","title":"In This Issue, Volume 16, Issue 2","year":2025,"lang":"en","type":"article","venue":"ACS Medicinal Chemistry Letters","topic":"Stress Responses and Cortisol","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Discovery Centre","funders":"","keywords":"Volume (thermodynamics); Data science; Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004734857,0.0001750525,0.0002095425,0.00006575207,0.00007114621,0.0000294935,0.0004364209,0.00008592157,0.004252775],"category_scores_gemma":[0.0005073695,0.0001671894,0.00005019657,0.0004367129,0.0001932441,0.00009055981,0.00009374779,0.0003504595,0.0002203313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001160226,"about_ca_system_score_gemma":0.00005641057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002167895,"about_ca_topic_score_gemma":0.000003634741,"domain_scores_codex":[0.9985414,0.00004407799,0.0002628876,0.0004458954,0.000333867,0.0003719261],"domain_scores_gemma":[0.9992909,0.000180255,0.00006287575,0.0003662059,0.00001420152,0.00008558958],"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":[0.00008386844,0.00002801808,0.0007002262,0.00007103685,0.000003147825,0.0003025257,0.0001056583,0.000003857246,0.8041613,0.000008754067,0.1907135,0.003818135],"study_design_scores_gemma":[0.0004152854,0.00001004748,0.0003546875,0.00009656224,0.00001005195,0.00003074004,0.00009227313,0.00004347991,0.6880782,0.0000302642,0.3107158,0.0001225333],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8830345,0.0003348523,0.00008806487,0.06746409,0.0005661267,0.000132028,0.000006775547,0.00006992545,0.04830359],"genre_scores_gemma":[0.8912891,0.0002213706,0.00001888838,0.04750117,0.0004324822,0.00003465204,0.000003155932,0.00001495798,0.0604842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1200023,"threshold_uncertainty_score":0.9966575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025455142927,"score_gpt":0.2720859076652519,"score_spread":0.2618313562359819,"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."}}