{"id":"W4243691291","doi":"10.5194/amt-2021-122-rc1","title":"Comment on amt-2021-122","year":2021,"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 Calgary","funders":"","keywords":"Smoothing; Smoothness; Basis function; Tikhonov regularization; Regularization (linguistics); Curvature; Algorithm; Computer science; Mathematical optimization; Interpolation (computer graphics); Spline (mechanical); Maxima and minima; Grid; A priori and a posteriori; Basis (linear algebra); Minification; Mathematics; Artificial intelligence; Inverse problem; Computer vision; Mathematical analysis; Geometry; Image (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":[0.002124188,0.001030804,0.0009907887,0.001101695,0.00308669,0.003654995,0.002680848,0.02755492,0.1496321],"category_scores_gemma":[0.01489452,0.0005180825,0.001655705,0.001126783,0.001769511,0.00243992,0.001710173,0.01766721,0.1545538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003620373,"about_ca_system_score_gemma":0.002595579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01682343,"about_ca_topic_score_gemma":0.01723946,"domain_scores_codex":[0.9982425,0.000195644,0.0001940005,0.0002553972,0.0008146825,0.0002978712],"domain_scores_gemma":[0.9960664,0.001303294,0.000203066,0.0003034155,0.001629374,0.0004944822],"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":[0.00003151069,0.0000113128,0.00006196405,0.00003305749,0.000002017922,0.0001055073,0.00001806436,0.00001006055,0.00009263212,0.001249973,0.9952252,0.003158842],"study_design_scores_gemma":[0.00001141201,0.00001076334,0.0003559637,0.00007016172,0.000002360819,0.00004183798,0.00003438579,0.00004139755,0.00007996239,0.0006252131,0.9987183,0.000008258981],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0006276942,0.001597198,0.0006669623,0.4971548,0.3005483,0.0003845021,0.002900954,0.001567441,0.1945522],"genre_scores_gemma":[0.00322801,0.0008842927,0.0004675272,0.6026605,0.0583606,0.0004340675,0.0008658461,0.0003921896,0.3327069],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1496321,"threshold_uncertainty_score":0.5005693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06932087958334596,"score_gpt":0.4084653926488009,"score_spread":0.339144513065455,"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."}}