{"id":"W4413417070","doi":"10.5194/egusphere-2025-2991-ac1","title":"Reply on CC2","year":2025,"lang":"en","type":"peer-review","venue":"","topic":"Neuroendocrine Tumor Research Advances","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001495285,0.0008002227,0.000834095,0.0009735099,0.002238659,0.003452724,0.002189223,0.01473992,0.4008938],"category_scores_gemma":[0.01796868,0.0004094189,0.001090223,0.0005883317,0.001293924,0.002702035,0.002399678,0.01182606,0.2575069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002070772,"about_ca_system_score_gemma":0.002046374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004975825,"about_ca_topic_score_gemma":0.006405605,"domain_scores_codex":[0.9985857,0.000224629,0.0001373201,0.000238849,0.00053965,0.0002739133],"domain_scores_gemma":[0.9957646,0.001074277,0.0001517323,0.0002548377,0.001822521,0.0009321396],"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":[0.00001257038,0.000004325422,0.00003440373,0.00001216409,9.042201e-7,0.00005207848,0.000005673008,0.000004855403,0.00001868991,0.0002184486,0.9967096,0.002926196],"study_design_scores_gemma":[0.00001235466,0.000008242397,0.0001682369,0.00004349923,0.00000161254,0.00006352254,0.00004227904,0.00003281049,0.00005457369,0.0003786247,0.9991872,0.000007190894],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004700504,0.001740359,0.000510912,0.5183281,0.3429469,0.0003374482,0.001988068,0.001414009,0.1322642],"genre_scores_gemma":[0.004205839,0.001138181,0.000333009,0.4318857,0.09031785,0.0002924209,0.0007846918,0.0005654435,0.4704767],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.4008938,"threshold_uncertainty_score":0.8545523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04957946135609263,"score_gpt":0.4158501313227214,"score_spread":0.3662706699666287,"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."}}