{"id":"W1822489625","doi":"10.1017/s1431927615000707","title":"Phase and Texture Characterizations of Scar Collagen Second-Harmonic Generation Images Varied with Scar Duration","year":2015,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Dermatologic Treatments and Research","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"Program for Changjiang Scholars and Innovative Research Team in University; China Scholarship Council; National Natural Science Foundation of China","keywords":"Scars; Materials science; Texture (cosmology); Hypertrophic scar; Biomedical engineering; Phase (matter); Pattern recognition (psychology); Artificial intelligence; Medicine; Computer science; Anatomy; Image (mathematics); Pathology; Chemistry","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":[0.0003025476,0.0001633309,0.0001552722,0.0007313751,0.00008611916,0.0002723947,0.0001236331,0.0002794589,0.0005663818],"category_scores_gemma":[0.0006718372,0.0001523984,0.0001698228,0.0003495379,0.0001674458,0.0003477837,0.0001037344,0.0002417165,0.0001213917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001086342,"about_ca_system_score_gemma":0.00009408352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004886129,"about_ca_topic_score_gemma":0.0007883842,"domain_scores_codex":[0.9998678,0.00001779932,0.000007776908,0.00002750137,0.0000617435,0.00001736582],"domain_scores_gemma":[0.9997048,0.000111205,0.00005428457,0.00002410975,0.00008581176,0.00001970936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000295809,0.00003955009,0.01334307,0.000142048,0.00002395222,0.0001361967,0.0001808917,0.002784114,0.9255306,0.0003035001,0.0001703357,0.05704998],"study_design_scores_gemma":[0.00003919508,0.0004213084,0.2013012,0.00002529389,0.0001098339,0.001685561,0.0003509313,0.1201011,0.672702,0.0007593068,0.002434599,0.00006983128],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9144161,0.0007839613,0.08342087,0.00005830958,0.00002239305,0.00003842753,0.0001842417,0.0001312211,0.000944563],"genre_scores_gemma":[0.973226,0.0003974153,0.02529404,0.00003585136,0.00001370342,0.00004138079,0.0001572627,0.00003126707,0.0008030881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007313751,"threshold_uncertainty_score":0.001894772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02643554517867124,"score_gpt":0.3199854980522116,"score_spread":0.2935499528735404,"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."}}