{"id":"W4407868937","doi":"10.5194/gmd-2024-175-rc1","title":"Comment on gmd-2024-175","year":2025,"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":"Defence Research and Development Canada; Memorial University of Newfoundland","funders":"","keywords":"Statistics; Environmental science; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001737374,0.001033407,0.001101121,0.001293977,0.002318369,0.005205569,0.002556112,0.01896223,0.3463189],"category_scores_gemma":[0.009185205,0.0005062029,0.001596209,0.001647644,0.001254491,0.0024624,0.002024634,0.009584629,0.3088817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003781539,"about_ca_system_score_gemma":0.003689719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03388121,"about_ca_topic_score_gemma":0.03899718,"domain_scores_codex":[0.9985988,0.00009393669,0.00009461567,0.0001772052,0.0007385181,0.0002969429],"domain_scores_gemma":[0.9971399,0.0006042864,0.0001358496,0.0002865187,0.001380009,0.0004533015],"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":[0.0000230535,0.000009896946,0.00003363686,0.00003384031,0.000001135008,0.00003084314,0.000004852361,0.00001572984,0.00004802408,0.000643925,0.9959805,0.003174604],"study_design_scores_gemma":[0.00001904981,0.000007627073,0.0003773226,0.0000510256,0.000001548011,0.00001009058,0.00001343475,0.00003185001,0.00005510747,0.0004634029,0.9989616,0.000007902988],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.0006232903,0.001466181,0.0008471195,0.184855,0.2254946,0.0008000782,0.02803304,0.004384023,0.5534967],"genre_scores_gemma":[0.002362895,0.0005761566,0.000544547,0.2796326,0.02364046,0.0005575925,0.005076669,0.0009275473,0.6866814],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.3463189,"threshold_uncertainty_score":0.9323967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02258866357280915,"score_gpt":0.3638109593603314,"score_spread":0.3412222957875223,"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."}}