{"id":"W1992593527","doi":"10.1111/j.1365-3164.2009.00748.x","title":"Equine lumican (LUM) cDNA sequence and spatio‐temporal expression in an experimental model of normal and pathological wound healing","year":2009,"lang":"en","type":"article","venue":"Veterinary Dermatology","topic":"Wound Healing and Treatments","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Cegep de Saint Hyacinthe; Canadian Veterinary Medical Association","funders":"","keywords":"Lumican; Wound healing; Complementary DNA; Messenger RNA; Granulation tissue; Biology; Gene expression; Pathology; Keloid; Immunohistochemistry; Reverse transcription polymerase chain reaction; Real-time polymerase chain reaction; Molecular biology; Medicine; Cell biology; Extracellular matrix; Gene; Immunology; Proteoglycan; Decorin; Genetics","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":[0.0002097549,0.0002019023,0.0001353458,0.0004257618,0.0002734058,0.000274929,0.0001224677,0.0002810262,0.001740123],"category_scores_gemma":[0.0002400796,0.0001491236,0.0001610192,0.000160159,0.0003984871,0.0002120414,0.00009399976,0.0003806667,0.0003962534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003988289,"about_ca_system_score_gemma":0.0001979957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000658575,"about_ca_topic_score_gemma":0.001726533,"domain_scores_codex":[0.999868,0.00002555689,0.00001292042,0.00003226783,0.00003409089,0.00002710223],"domain_scores_gemma":[0.9997981,0.000058223,0.00006072264,0.00002399135,0.00002275983,0.00003629547],"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":[0.000154385,0.00004637725,0.0001707576,0.00003187057,0.000001519247,0.00005886921,0.00003118206,0.0000508765,0.9984497,0.00008663163,0.00003247958,0.0008853204],"study_design_scores_gemma":[0.00006313752,0.002483658,0.01500885,0.00002692205,0.0000411716,0.001345868,0.0002191472,0.001504475,0.9690699,0.0001161292,0.01010578,0.00001494987],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939039,0.001234015,0.00271977,0.00008453174,0.00003131355,0.00007748832,0.0004772308,0.00004295807,0.001428761],"genre_scores_gemma":[0.9741049,0.002101643,0.0107655,0.0001299356,0.00004154892,0.000194202,0.002665707,0.00003755666,0.009958964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001740123,"threshold_uncertainty_score":0.005821288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0938095861540528,"score_gpt":0.36813616764739,"score_spread":0.2743265814933372,"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."}}