{"id":"W4404527135","doi":"10.5194/sp-2024-27-rc1","title":"Comment on sp-2024-27","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":"Environment and Climate Change Canada","funders":"","keywords":"Computer 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":[0.005075595,0.0009773369,0.001290559,0.002037027,0.003866521,0.005428943,0.003170081,0.02668088,0.1702746],"category_scores_gemma":[0.04636591,0.0006200602,0.001865938,0.001767063,0.002011601,0.003257837,0.002306697,0.01361888,0.1766718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004450999,"about_ca_system_score_gemma":0.006314266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02318537,"about_ca_topic_score_gemma":0.03250149,"domain_scores_codex":[0.9946979,0.0004324662,0.000529863,0.0005323449,0.003091102,0.0007162561],"domain_scores_gemma":[0.9751839,0.00488108,0.0008396637,0.001401857,0.0149323,0.002761216],"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":[0.00001110214,0.000003930922,0.00003089246,0.00002776549,0.000001204134,0.00004521024,0.00000606104,0.000004948452,0.00002517426,0.0003595845,0.9979392,0.001544913],"study_design_scores_gemma":[0.0000144257,0.000009029556,0.0004208368,0.00008119427,0.000002716628,0.00003772483,0.00002647427,0.00003799846,0.00006750727,0.0005233485,0.9987687,0.00001001397],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003925586,0.001267496,0.0006604748,0.4922942,0.381245,0.0005264484,0.004056626,0.002078176,0.1174791],"genre_scores_gemma":[0.002577069,0.001016979,0.0005485465,0.5047348,0.07684598,0.000603175,0.00159139,0.0007729072,0.411309],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1702746,"threshold_uncertainty_score":0.5696254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02658043445045501,"score_gpt":0.3626667109565087,"score_spread":0.3360862765060537,"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."}}