{"id":"W4206070684","doi":"10.5194/gi-2021-33-rc1","title":"Comment on gi-2021-33","year":2022,"lang":"en","type":"peer-review","venue":"","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Robustness (evolution); Data processing; Computer science; Data pre-processing; Preprocessor; Property (philosophy); Data mining; Algorithm; Remote sensing; Artificial intelligence; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002175045,0.0008958622,0.0009584379,0.001901143,0.002891181,0.003915197,0.002458632,0.01869662,0.2972813],"category_scores_gemma":[0.02091974,0.000425272,0.001087415,0.001585542,0.001496288,0.002741,0.001922937,0.008711133,0.2622722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002988474,"about_ca_system_score_gemma":0.003239107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02382273,"about_ca_topic_score_gemma":0.03114063,"domain_scores_codex":[0.9978416,0.0001550663,0.0001795705,0.0002173811,0.001217636,0.0003887195],"domain_scores_gemma":[0.9901767,0.001744182,0.0003676988,0.0007450727,0.005635881,0.001330508],"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":[0.00001218413,0.000004470645,0.00004109769,0.00002285059,8.385702e-7,0.00004789321,0.000007091525,0.000004811269,0.00003655904,0.0003680791,0.9974476,0.002006503],"study_design_scores_gemma":[0.00001030944,0.00000736218,0.0003834145,0.00005389372,0.000001229955,0.00002390967,0.00002947859,0.00002586231,0.00006103511,0.0002962707,0.9991004,0.000006836054],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0006395588,0.001064797,0.0008957233,0.3966723,0.3114499,0.0006994086,0.006097907,0.004494516,0.2779859],"genre_scores_gemma":[0.003447615,0.0007541698,0.0005343764,0.2284837,0.048579,0.0004372187,0.002190312,0.001106784,0.7144667],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2972813,"threshold_uncertainty_score":0.994505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04780196422939596,"score_gpt":0.359275113365178,"score_spread":0.311473149135782,"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."}}