{"id":"W4403585735","doi":"10.5194/sp-2024-8-rc1","title":"Comment on sp-2024-8","year":2024,"lang":"en","type":"peer-review","venue":"","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Environmental 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003242375,0.0009005419,0.001091276,0.001833866,0.003526184,0.00454406,0.002791816,0.02299536,0.2417126],"category_scores_gemma":[0.0340929,0.0005780361,0.001494331,0.001683525,0.001932885,0.002920439,0.002184158,0.01229191,0.226749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003065783,"about_ca_system_score_gemma":0.003931831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02142114,"about_ca_topic_score_gemma":0.02434562,"domain_scores_codex":[0.9967405,0.0002621902,0.0003223937,0.0003422773,0.001847734,0.0004848406],"domain_scores_gemma":[0.9841472,0.003402997,0.0005364175,0.001157755,0.008957122,0.001798564],"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":[0.00001404635,0.000004904696,0.00003791992,0.00002510997,0.000001186888,0.0000497021,0.000006999824,0.00000556846,0.00003102869,0.0004129231,0.9976107,0.001799861],"study_design_scores_gemma":[0.00001525881,0.000008816857,0.0004051382,0.00007683913,0.000001937904,0.00003195949,0.00002781552,0.00003653266,0.00007037001,0.0005410376,0.9987748,0.000009483948],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"commentary","genre_scores_codex":[0.0004652448,0.0008021356,0.0006993713,0.4043088,0.4111189,0.0005442054,0.004664557,0.002332926,0.1750639],"genre_scores_gemma":[0.003327489,0.000821266,0.0005749886,0.3684553,0.08404625,0.0005643284,0.002092926,0.0008649772,0.5392525],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.2417126,"threshold_uncertainty_score":0.8086093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02691372981744284,"score_gpt":0.3648783989836359,"score_spread":0.3379646691661931,"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."}}