{"id":"W4416087657","doi":"10.1016/j.chest.2025.04.035","title":"Texture Matters","year":2025,"lang":"en","type":"editorial","venue":"CHEST Journal","topic":"Dermatologic Treatments and Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005664249,0.003546193,0.00451203,0.004383745,0.004988933,0.01566385,0.003178455,0.02737584,0.1188056],"category_scores_gemma":[0.03639862,0.002114579,0.003264832,0.001801843,0.00304879,0.004599063,0.003690152,0.02216468,0.08871191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005273239,"about_ca_system_score_gemma":0.005175152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002729035,"about_ca_topic_score_gemma":0.008034674,"domain_scores_codex":[0.9928045,0.001015634,0.0007477707,0.0007408696,0.003814376,0.0008769839],"domain_scores_gemma":[0.9785091,0.004788441,0.001675648,0.0009422392,0.007709733,0.006374868],"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":[0.00001886111,0.000008229229,0.00002300945,0.00006259785,0.000007370445,0.00005778041,0.000004845624,0.000008471859,0.00002592665,0.0001512317,0.9950218,0.004609759],"study_design_scores_gemma":[0.00007846505,0.00001738377,0.0001749529,0.0002331697,0.0000284022,0.0001230062,0.00003289034,0.00005318622,0.00003999615,0.0006482461,0.9985561,0.00001424659],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002901064,0.002227698,0.00005646452,0.05433096,0.9362787,0.00002659207,0.00005483063,0.00008952207,0.00690622],"genre_scores_gemma":[0.000407036,0.001934477,0.00008633555,0.06340487,0.8962986,0.00003640432,0.00005927302,0.00006752427,0.03770542],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1188056,"threshold_uncertainty_score":0.3974442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01314769579006074,"score_gpt":0.3407704323707517,"score_spread":0.3276227365806909,"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."}}