{"id":"W4396589580","doi":"10.5194/gmd-2023-241-rc2","title":"Comment on gmd-2023-241","year":2024,"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":"Environment and Climate Change Canada","funders":"","keywords":"Environmental science; Statistics; 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":[],"consensus_categories":[],"category_scores_codex":[0.001595657,0.0009658442,0.000965542,0.001074908,0.002397086,0.003859271,0.002592745,0.02295908,0.2473567],"category_scores_gemma":[0.01077202,0.0004970777,0.001452942,0.001263166,0.001488645,0.002121978,0.001861189,0.01165235,0.2359172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003554726,"about_ca_system_score_gemma":0.003049861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02808168,"about_ca_topic_score_gemma":0.02700998,"domain_scores_codex":[0.9985499,0.0001061023,0.0001119708,0.0001896878,0.0007615167,0.0002808767],"domain_scores_gemma":[0.9968066,0.0006794609,0.0001413816,0.0003366934,0.001529629,0.0005061582],"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":[0.00002445189,0.00001155673,0.00004908486,0.00002696072,0.000001184803,0.00005363692,0.00000751674,0.00001238193,0.00006266714,0.0004373159,0.9963922,0.002921135],"study_design_scores_gemma":[0.00001948478,0.00001012257,0.0004177356,0.00005839342,0.000001534671,0.00001468959,0.00002307227,0.00003388113,0.00006760577,0.0003780204,0.9989676,0.000007823576],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.0008194183,0.001257918,0.0007495921,0.3105181,0.2849444,0.0009644087,0.0131658,0.004010633,0.3835697],"genre_scores_gemma":[0.002762016,0.0005184893,0.0004732173,0.4103394,0.03232481,0.0005394594,0.002386357,0.0006442171,0.5500121],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.2473567,"threshold_uncertainty_score":0.8274904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06925270775452697,"score_gpt":0.4142449824973909,"score_spread":0.3449922747428639,"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."}}