{"id":"W4400058505","doi":"10.5194/essd-2024-218-rc2","title":"Comment on essd-2024-218","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":"","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001791673,0.0006209831,0.0007385711,0.0008802472,0.002479028,0.003379258,0.00211716,0.0208813,0.3065568],"category_scores_gemma":[0.01295883,0.0004087723,0.001281937,0.0009976873,0.001253679,0.002250299,0.00201289,0.009971399,0.2208428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002483942,"about_ca_system_score_gemma":0.002700196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02321037,"about_ca_topic_score_gemma":0.03137794,"domain_scores_codex":[0.9985533,0.000138868,0.0001497694,0.0001500482,0.0006868321,0.0003211525],"domain_scores_gemma":[0.9960227,0.001097314,0.0001441304,0.0002338287,0.001853582,0.0006484618],"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":[0.00001653639,0.000007515811,0.00007873969,0.00002513834,0.000001059281,0.00006098061,0.000009159298,0.000006099058,0.00002822097,0.0003877093,0.9971103,0.002268646],"study_design_scores_gemma":[0.00001615317,0.000009348878,0.0003927878,0.00007197238,0.000001796843,0.0000208356,0.00004967603,0.00002030998,0.00005069789,0.0003351978,0.9990243,0.000007043066],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0009339108,0.001600262,0.0005989023,0.4482149,0.2260363,0.0004950039,0.01182661,0.001941765,0.3083525],"genre_scores_gemma":[0.003081178,0.0006542434,0.000222783,0.4441482,0.0205547,0.0002834403,0.002401609,0.0003631631,0.5282907],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3065568,"threshold_uncertainty_score":0.9891126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02632453653124437,"score_gpt":0.3678559237071051,"score_spread":0.3415313871758607,"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."}}