{"id":"W4405989427","doi":"10.5194/gmd-2024-184-rc2","title":"Comment on gmd-2024-184","year":2025,"lang":"en","type":"peer-review","venue":"","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Mathematics; Statistics","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":[0.001918024,0.0009070738,0.0008825075,0.001186768,0.002488567,0.004003699,0.002508663,0.02305587,0.2786053],"category_scores_gemma":[0.01425351,0.0005077544,0.001289912,0.00126216,0.001578221,0.002481089,0.002228332,0.01114617,0.2411181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003598202,"about_ca_system_score_gemma":0.003237285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03039813,"about_ca_topic_score_gemma":0.02922992,"domain_scores_codex":[0.9983007,0.0001360662,0.0001161279,0.0002058987,0.0009423359,0.0002988458],"domain_scores_gemma":[0.9961509,0.001023128,0.0001817641,0.0003635018,0.00183218,0.0004485019],"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":[0.00002002239,0.000009314793,0.000042894,0.00002812768,9.920952e-7,0.00004445832,0.000009593929,0.00001383742,0.00005971832,0.0008498409,0.9961674,0.002753798],"study_design_scores_gemma":[0.00001253581,0.00000792936,0.0002522905,0.00005027786,0.000001160747,0.00001253677,0.00001917618,0.00002820779,0.00006122572,0.000448264,0.9991,0.000006539262],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.0008408917,0.001270378,0.001128026,0.3486144,0.1935122,0.0007285762,0.01428305,0.005302792,0.4343196],"genre_scores_gemma":[0.002695411,0.0005323629,0.0006276527,0.4126538,0.01787548,0.0004321044,0.00266259,0.0009478094,0.5615728],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.2786053,"threshold_uncertainty_score":0.9320274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05963117218407588,"score_gpt":0.415761518229958,"score_spread":0.3561303460458822,"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."}}